diff --git a/README.md b/README.md index 36b8d96d..45dc17e2 100644 --- a/README.md +++ b/README.md @@ -27,6 +27,16 @@ Explore the world of **Artificial Intelligence** (AI) with our 12-week, 24-lesso [Arabic](./translations/ar/README.md) | [Bengali](./translations/bn/README.md) | [Bulgarian](./translations/bg/README.md) | [Burmese (Myanmar)](./translations/my/README.md) | [Chinese (Simplified)](./translations/zh/README.md) | [Chinese (Traditional, Hong Kong)](./translations/hk/README.md) | [Chinese (Traditional, Macau)](./translations/mo/README.md) | [Chinese (Traditional, Taiwan)](./translations/tw/README.md) | [Croatian](./translations/hr/README.md) | [Czech](./translations/cs/README.md) | [Danish](./translations/da/README.md) | [Dutch](./translations/nl/README.md) | [Estonian](./translations/et/README.md) | [Finnish](./translations/fi/README.md) | [French](./translations/fr/README.md) | [German](./translations/de/README.md) | [Greek](./translations/el/README.md) | [Hebrew](./translations/he/README.md) | [Hindi](./translations/hi/README.md) | [Hungarian](./translations/hu/README.md) | [Indonesian](./translations/id/README.md) | [Italian](./translations/it/README.md) | [Japanese](./translations/ja/README.md) | [Kannada](./translations/kn/README.md) | [Korean](./translations/ko/README.md) | [Lithuanian](./translations/lt/README.md) | [Malay](./translations/ms/README.md) | [Malayalam](./translations/ml/README.md) | [Marathi](./translations/mr/README.md) | [Nepali](./translations/ne/README.md) | [Nigerian Pidgin](./translations/pcm/README.md) | [Norwegian](./translations/no/README.md) | [Persian (Farsi)](./translations/fa/README.md) | [Polish](./translations/pl/README.md) | [Portuguese (Brazil)](./translations/br/README.md) | [Portuguese (Portugal)](./translations/pt/README.md) | [Punjabi (Gurmukhi)](./translations/pa/README.md) | [Romanian](./translations/ro/README.md) | [Russian](./translations/ru/README.md) | [Serbian (Cyrillic)](./translations/sr/README.md) | [Slovak](./translations/sk/README.md) | [Slovenian](./translations/sl/README.md) | [Spanish](./translations/es/README.md) | [Swahili](./translations/sw/README.md) | [Swedish](./translations/sv/README.md) | [Tagalog (Filipino)](./translations/tl/README.md) | [Tamil](./translations/ta/README.md) | [Telugu](./translations/te/README.md) | [Thai](./translations/th/README.md) | [Turkish](./translations/tr/README.md) | [Ukrainian](./translations/uk/README.md) | [Urdu](./translations/ur/README.md) | [Vietnamese](./translations/vi/README.md) + +> **Prefer to Clone Locally?** + +> This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> This gives you everything you need to complete the course with a much faster download. **If you wish to have additional translations languages supported are listed [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** diff --git a/translations/ar/README.md b/translations/ar/README.md index c0c95249..2e400995 100644 --- a/translations/ar/README.md +++ b/translations/ar/README.md @@ -1,169 +1,178 @@ -[![رخصة GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![مساهمو GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![ترخيص GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![المساهمون في GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) [![قضايا GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![طلبات سحب GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![طلبات سحب مرحب بها](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![طلبات السحب في GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![الطلبات مرحب بها](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![مشاهدو GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![استنساخات GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![نجوم GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) -[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) -[![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) +[![المراقبون في GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![التفرعات في GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![النجوم في GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![بايندر](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) +[![جيتر](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) -[![Discord Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![خادم ديسكورد Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Artificial Intelligence for Beginners - A Curriculum +# الذكاء الاصطناعي للمبتدئين - منهج دراسي -|![مخطط مصور بواسطة @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.ar.png)| +|![مذكرة رسمية بواسطة @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.ar.png)| |:---:| -| AI For Beginners - _مخطط مصور بواسطة [@girlie_mac](https://twitter.com/girlie_mac)_ | - -استكشف عالم **الذكاء الاصطناعي** (AI) من خلال منهجنا الذي يمتد 12 أسبوعًا ويحتوي على 24 درسًا! يشمل دروسًا عملية، واختبارات، ومعامل. المنهج مناسب للمبتدئين ويغطي أدوات مثل TensorFlow و PyTorch، بالإضافة إلى أخلاقيات الذكاء الاصطناعي +| الذكاء الاصطناعي للمبتدئين - _مذكرة رسمية بواسطة [@girlie_mac](https://twitter.com/girlie_mac)_ | +استكشف عالم **الذكاء الاصطناعي** مع منهجنا الدراسي الممتد 12 أسبوعًا، والمكوّن من 24 درسًا! يشمل دروسًا عملية، واختبارات، ومختبرات. المنهج مناسب للمبتدئين ويغطي أدوات مثل TensorFlow وPyTorch، بالإضافة إلى أخلاقيات الذكاء الاصطناعي. ### 🌐 دعم متعدد اللغات -#### مدعوم عبر GitHub Action (مؤتمت ومحدث دائمًا) +#### مدعوم عبر GitHub Action (آلي ودائم التحديث) -[العربية](./README.md) | [البنغالية](../bn/README.md) | [البلغارية](../bg/README.md) | [البورمية (ميانمار)](../my/README.md) | [الصينية (مبسطة)](../zh/README.md) | [الصينية (تقليدية، هونغ كونغ)](../hk/README.md) | [الصينية (تقليدية، ماكاو)](../mo/README.md) | [الصينية (تقليدية، تايوان)](../tw/README.md) | [الكرواتية](../hr/README.md) | [التشيكية](../cs/README.md) | [الدنماركية](../da/README.md) | [الهولندية](../nl/README.md) | [الإستونية](../et/README.md) | [الفنلندية](../fi/README.md) | [الفرنسية](../fr/README.md) | [الألمانية](../de/README.md) | [اليونانية](../el/README.md) | [العبرية](../he/README.md) | [الهندية](../hi/README.md) | [الهنغارية](../hu/README.md) | [الإندونيسية](../id/README.md) | [الإيطالية](../it/README.md) | [اليابانية](../ja/README.md) | [الكنادية](../kn/README.md) | [الكورية](../ko/README.md) | [الليتوانية](../lt/README.md) | [الماليزية](../ms/README.md) | [المالايالامية](../ml/README.md) | [الماراثية](../mr/README.md) | [النيبالية](../ne/README.md) | [البيجن النيجيرية](../pcm/README.md) | [النرويجية](../no/README.md) | [الفارسية (Farsi)](../fa/README.md) | [البولندية](../pl/README.md) | [البرتغالية (البرازيل)](../br/README.md) | [البرتغالية (البرتغال)](../pt/README.md) | [البنجابية (Gurmukhi)](../pa/README.md) | [الرومانية](../ro/README.md) | [الروسية](../ru/README.md) | [الصربية (السيريلية)](../sr/README.md) | [السلوفاكية](../sk/README.md) | [السلوفينية](../sl/README.md) | [الإسبانية](../es/README.md) | [السواحلية](../sw/README.md) | [السويدية](../sv/README.md) | [التاغالوغية (الفلبينية)](../tl/README.md) | [التاميلية](../ta/README.md) | [التيلجو](../te/README.md) | [التايلاندية](../th/README.md) | [التركية](../tr/README.md) | [الأوكرانية](../uk/README.md) | [الأردية](../ur/README.md) | [الفيتنامية](../vi/README.md) +[العربية](./README.md) | [البنغالية](../bn/README.md) | [البلغارية](../bg/README.md) | [البورمية (ميانمار)](../my/README.md) | [الصينية (المبسطة)](../zh/README.md) | [الصينية (التقليدية، هونغ كونغ)](../hk/README.md) | [الصينية (التقليدية، ماكاو)](../mo/README.md) | [الصينية (التقليدية، تايوان)](../tw/README.md) | [الكرواتية](../hr/README.md) | [التشيكية](../cs/README.md) | [الدنماركية](../da/README.md) | [الهولندية](../nl/README.md) | [الإستونية](../et/README.md) | [الفنلندية](../fi/README.md) | [الفرنسية](../fr/README.md) | [الألمانية](../de/README.md) | [اليونانية](../el/README.md) | [العبرية](../he/README.md) | [الهندية](../hi/README.md) | [الهنغارية](../hu/README.md) | [الإندونيسية](../id/README.md) | [الإيطالية](../it/README.md) | [اليابانية](../ja/README.md) | [الكانادا](../kn/README.md) | [الكورية](../ko/README.md) | [اللتوانية](../lt/README.md) | [الماليزية](../ms/README.md) | [المالايالامية](../ml/README.md) | [الماراثية](../mr/README.md) | [النيبالية](../ne/README.md) | [النيجيرية بيدجن](../pcm/README.md) | [النرويجية](../no/README.md) | [الفارسية (الإنجليزية)](../fa/README.md) | [البولندية](../pl/README.md) | [البرتغالية (البرازيل)](../br/README.md) | [البرتغالية (البرتغال)](../pt/README.md) | [البنجابية (جيرموخي)](../pa/README.md) | [الرومانية](../ro/README.md) | [الروسية](../ru/README.md) | [الصربية (السيريلية)](../sr/README.md) | [السلوفاكية](../sk/README.md) | [السلوفينية](../sl/README.md) | [الإسبانية](../es/README.md) | [السواحلية](../sw/README.md) | [السويدية](../sv/README.md) | [التاغالوغ (الفلبينية)](../tl/README.md) | [التاميلية](../ta/README.md) | [التيلغو](../te/README.md) | [التايلاندية](../th/README.md) | [التركية](../tr/README.md) | [الأوكرانية](../uk/README.md) | [الأردية](../ur/README.md) | [الفيتنامية](../vi/README.md) + +> **هل تفضل الاستنساخ محليًا؟** + +> يحتوي هذا المستودع على أكثر من 50 ترجمة للغات تزيد بشكل كبير من حجم التنزيل. للاستنساخ بدون الترجمات، استخدم السحب الانتقائي: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> هذا يمنحك كل ما تحتاجه لإكمال الدورة بتنزيل أسرع بكثير. -**إذا رغبت في إضافة لغات ترجمة إضافية، فالقائمة مدرجة [هنا](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**إذا كنت ترغب في دعم لغات ترجمة إضافية، فهي مدرجة [هنا](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## انضم إلى المجتمع -[![Discord Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![خادم ديسكورد Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## ما الذي ستتعلمه +## ما ستتعلمه -**[خريطة ذهنية للمقرر](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[خريطة ذهنية للدورة](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** في هذا المنهج، ستتعلم: -* مناهج مختلفة للذكاء الاصطناعي، بما في ذلك النهج الرمزي "القديم الجيد" مع **تمثيل المعرفة** والاستدلال ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **الشبكات العصبية** و**التعلم العميق**، اللذان يشكلان جوهر الذكاء الاصطناعي الحديث. سنوضح المفاهيم الأساسية لهذه المواضيع الهامة باستخدام الشيفرة في اثنين من أكثر الأطر شعبية - [TensorFlow](http://Tensorflow.org) و [PyTorch](http://pytorch.org). -* **البنى العصبية** للعمل مع الصور والنصوص. سنغطي النماذج الحديثة ولكن قد تكون ناقصة قليلاً فيما يتعلق بأحدث ما توصلت إليه الأبحاث. -* مناهج أقل شيوعًا في الذكاء الاصطناعي، مثل **الخوارزميات الجينية** و**أنظمة الوكلاء المتعددين**. +* نهجًا مختلفًا للذكاء الاصطناعي، بما في ذلك النهج "القديم الجيد" الرمزي مع **تمثيل المعرفة** والاستدلال ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **الشبكات العصبية** و**التعلم العميق**، وهي جوهر الذكاء الاصطناعي الحديث. سنوضح المفاهيم وراء هذه المواضيع المهمة باستخدام التعليمات البرمجية في اثنين من أشهر الأطر - [TensorFlow](http://Tensorflow.org) و[PyTorch](http://pytorch.org). +* **الهياكل العصبية** للعمل مع الصور والنصوص. سنغطي النماذج الحديثة لكنها قد تكون قليلة بعض الشيء في أحدث التقنيات. +* نهجًا أقل شيوعًا في الذكاء الاصطناعي، مثل **الخوارزميات الجينية** و**أنظمة الوكلاء المتعددين**. -ما الذي لن نغطيه في هذا المنهج: +ما لن نغطيه في هذا المنهج: -> [اعثر على جميع الموارد الإضافية لهذه الدورة في مجموعة Microsoft Learn الخاصة بنا](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [اكتشف جميع الموارد الإضافية لهذه الدورة في مجموعة Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* حالات استخدام **الذكاء الاصطناعي في الأعمال**. ضع في اعتبارك اتباع مسار التعلم [مقدمة في الذكاء الاصطناعي لمستخدمي الأعمال](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) على Microsoft Learn، أو [مدرسة أعمال الذكاء الاصطناعي](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)، المطورة بالتعاون مع [INSEAD](https://www.insead.edu/). -* **التعلم الآلي الكلاسيكي**، الذي وُصف جيدًا في منهجنا [منهج التعلم الآلي للمبتدئين](http://github.com/Microsoft/ML-for-Beginners). -* تطبيقات الذكاء الاصطناعي العملية المبنية باستخدام **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. لهذا، نوصي بأن تبدأ بالوحدات على Microsoft Learn الخاصة بـ [الرؤية](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)، و[معالجة اللغة الطبيعية](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)، و **[الذكاء الاصطناعي التوليدي مع Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** وغيرها. -* أطر عمل سحابية محددة لتعلم الآلة، مثل [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)، [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)، أو [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). فكر في استخدام مسارات التعلم [بناء وتشغيل حلول التعلم الآلي باستخدام Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) و [بناء وتشغيل حلول التعلم الآلي باستخدام Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **الذكاء الاصطناعي الحواري** و**الدردشة الآلية**. هناك مسار تعلم منفصل [إنشاء حلول الذكاء الاصطناعي الحواري](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum)، ويمكنك أيضًا الرجوع إلى [هذا المنشور في المدونة](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) لمزيد من التفاصيل. -* **الرياضيات العميقة** وراء التعلم العميق. لهذا، نوصي بـ [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) من تأليف Ian Goodfellow و Yoshua Bengio و Aaron Courville، والمتاح أيضًا عبر الإنترنت على [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* الحالات التجارية لاستخدام **الذكاء الاصطناعي في الأعمال**. ننصح بأخذ مسار التعلم [مقدمة إلى الذكاء الاصطناعي لمستخدمي الأعمال](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) على Microsoft Learn، أو [مدرسة الأعمال للذكاء الاصطناعي](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)، التي تم تطويرها بالتعاون مع [INSEAD](https://www.insead.edu/). +* **التعلم الآلي الكلاسيكي**، الموصوف جيدًا في منهجنا [التعلم الآلي للمبتدئين](http://github.com/Microsoft/ML-for-Beginners). +* تطبيقات الذكاء الاصطناعي العملية المبنية باستخدام **[الخدمات المعرفية](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. لذا نوصي بدءًا من وحدات Microsoft Learn لـ [الرؤية](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)، و[معالجة اللغة الطبيعية](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)، و**[الذكاء الاصطناعي التوليدي مع خدمة Azure OpenAI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** وغيرها. +* أُطُر سحابية محددة للتعلم الآلي، مثل [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)، [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)، أو [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). يُنصح باستخدام مسارات التعلم [إنشاء وتشغيل حلول التعلم الآلي باستخدام Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) و[إنشاء وتشغيل حلول التعلم الآلي باستخدام Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **الذكاء الاصطناعي التفاعلي** و**الروبوتات الحوارية**. هناك مسار تعلم منفصل [إنشاء حلول الذكاء الاصطناعي التفاعلية](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum)، ويمكنك أيضًا الرجوع إلى [منشور المدونة هذا](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) لمزيد من التفاصيل. +* **الرياضيات العميقة** خلف التعلم العميق. لذلك نوصي بـ[التعلم العميق](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) بواسطة إيان جودفيلو ويوشوا بنجيو وآرون كورفيل، والمتوفر أيضًا عبر الإنترنت على [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -للمقدمة الودية إلى مواضيع _الذكاء الاصطناعي في السحابة_ قد تفكر في أخذ مسار التعلم [البدء مع الذكاء الاصطناعي على Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +للحصول على مقدمة لطيفة حول مواضيع _الذكاء الاصطناعي في السحابة_ يمكنك التفكير في أخذ مسار التعلم [البدء مع الذكاء الاصطناعي على Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # المحتوى -| | رابط الدرس | PyTorch/Keras/TensorFlow | المعمل | +| | رابط الدرس | PyTorch/Keras/TensorFlow | المختبر | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 0 | [إعداد الدورة](./lessons/0-course-setup/setup.md) | [إعداد بيئة التطوير الخاصة بك](./lessons/0-course-setup/how-to-run.md) | | -| I | [**مقدمة في الذكاء الاصطناعي**](./lessons/1-Intro/README.md) | | | +| I | [**مقدمة إلى الذكاء الاصطناعي**](./lessons/1-Intro/README.md) | | | | 01 | [مقدمة وتاريخ الذكاء الاصطناعي](./lessons/1-Intro/README.md) | - | - | | II | **الذكاء الاصطناعي الرمزي** | -| 02 | [تمثيل المعرفة وأنظمة الخبراء](./lessons/2-Symbolic/README.md) | [أنظمة الخبراء](./lessons/2-Symbolic/Animals.ipynb) / [الأونتولوجيا](./lessons/2-Symbolic/FamilyOntology.ipynb) /[مخطط المفاهيم](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**مقدمة في الشبكات العصبية**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [البرسبترون](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [دفتر ملاحظات](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [مختبر](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [البرسبترون متعدد الطبقات وإنشاء إطار عمل خاص بنا](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [دفتر ملاحظات](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [مختبر](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [مقدمة في الأُطر (PyTorch/TensorFlow) وفرط التكيّف](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [مختبر](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**رؤية الحاسوب**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [استكشف رؤية الحاسوب على Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [مقدمة في رؤية الحاسوب. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [دفتر ملاحظات](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [مختبر](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [الشبكات العصبية الالتفافية](./lessons/4-ComputerVision/07-ConvNets/README.md) & [بُنى CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [مختبر](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [الشبكات المدربة مسبقًا والتعلّم بالنقل](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [حيل التدريب](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [مختبر](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [المرمّزات الذاتية وVAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [الشبكات التوليدية العدائية ونقل الأسلوب الفني](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [كشف الكائنات](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [مختبر](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [التقسيم الدلالي. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**معالجة اللغة الطبيعية**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [استكشف معالجة اللغة الطبيعية على Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [تمثيل النص. حقيبة الكلمات/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [التضمينات الدلالية للكلمات. Word2Vec وGloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [نمذجة اللغة. تدريب تضميناتك الخاصة](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [مختبر](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [الشبكات العصبية المتكررة](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [الشبكات التوليدية المتكررة](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [مختبر](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [المحوّلات. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [التعرّف على الكيانات المسماة](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [مختبر](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [نماذج لغوية كبيرة، برمجة الموجهات ومهام القليل من الأمثلة](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **تقنيات ذكاء اصطناعي أخرى** || | +| 02 | [تمثيل المعرفة وأنظمة الخبراء](./lessons/2-Symbolic/README.md) | [أنظمة الخبراء](./lessons/2-Symbolic/Animals.ipynb) / [الأنتولوجيا](./lessons/2-Symbolic/FamilyOntology.ipynb) /[رسم بياني للمفاهيم](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**مقدمة إلى الشبكات العصبية**](./lessons/3-NeuralNetworks/README.md) ||| +| 03 | [بيرسيترون](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [دفتر ملاحظات](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [معمل](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [بيرسيترون متعدد الطبقات وإنشاء إطار العمل الخاص بنا](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [دفتر ملاحظات](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [معمل](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [مقدمة في الأطر (بايتورتش/تينسرفلو) والإفراط في التعميم](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [بايتورتش](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [كيراس](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [تينسرفلو](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [معمل](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**رؤية الحاسوب**](./lessons/4-ComputerVision/README.md) | [بايتورتش](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [تينسرفلو](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [استكشاف رؤية الحاسوب على مايكروسوفت آزور](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [مقدمة في رؤية الحاسوب. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [دفتر ملاحظات](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [معمل](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [الشبكات العصبية الالتفافية](./lessons/4-ComputerVision/07-ConvNets/README.md) & [هندسات CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [بايتورتش](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[تينسرفلو](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [معمل](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [الشبكات المدربة مسبقًا والتعلم النقلي](./lessons/4-ComputerVision/08-TransferLearning/README.md) و [خدع التدريب](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [بايتورتش](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [تينسرفلو](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [معمل](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [التشفير التلقائي و VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [بايتورتش](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [تينسرفلو](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [الشبكات التنافسية التوليدية ونقل النمط الفني](./lessons/4-ComputerVision/10-GANs/README.md) | [بايتورتش](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [تينسرفلو](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [الكشف عن الأشياء](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [تينسرفلو](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [معمل](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 12 | [التجزئة الدلالية. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [بايتورتش](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [تينسرفلو](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | +| V | [**معالجة اللغة الطبيعية**](./lessons/5-NLP/README.md) | [بايتورتش](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[تينسرفلو](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [استكشاف معالجة اللغة الطبيعية على مايكروسوفت آزور](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [تمثيل النص. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [بايتورتش](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [تينسرفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [تضمينات الكلمات الدلالية. Word2Vec و GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [بايتورتش](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [تينسرفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [نمذجة اللغة. تدريب التضمينات الخاصة بك](./lessons/5-NLP/15-LanguageModeling/README.md) | [بايتورتش](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [تينسرفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [معمل](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [الشبكات العصبية المتكررة](./lessons/5-NLP/16-RNN/README.md) | [بايتورتش](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [تينسرفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| 17 | [الشبكات التكرارية التوليدية](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [بايتورتش](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [تينسرفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [معمل](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [المحوّلات. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [بايتورتش](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[تينسرفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | +| 19 | [تمييز الكيانات المسماة](./lessons/5-NLP/19-NER/README.md) | [تينسرفلو](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [معمل](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [نماذج اللغة الكبيرة، برمجة المطالبات ومهام القليل من الأمثلة](./lessons/5-NLP/20-LangModels/README.md) | [بايتورتش](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **تقنيات أخرى في الذكاء الاصطناعي** || | | 21 | [الخوارزميات الجينية](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [دفتر ملاحظات](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [التعلم المعزز العميق](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [مختبر](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [أنظمة متعددة الوكلاء](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 22 | [التعلم المعزز العميق](./lessons/6-Other/22-DeepRL/README.md) | [بايتورتش](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[تينسرفلو](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [معمل](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [أنظمة الوكلاء المتعددة](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **أخلاقيات الذكاء الاصطناعي** | | | -| 24 | [أخلاقيات الذكاء الاصطناعي والذكاء الاصطناعي المسؤول](./lessons/7-Ethics/README.md) | [Microsoft Learn: مبادئ الذكاء الاصطناعي المسؤول](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 24 | [أخلاقيات الذكاء الاصطناعي والمسؤولية](./lessons/7-Ethics/README.md) | [مايكروسوفت ليرن: مبادئ الذكاء الاصطناعي المسؤول](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **إضافات** | | | | 25 | [الشبكات متعددة الوسائط، CLIP و VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [دفتر ملاحظات](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## يحتوي كل درس على +## تحتوي كل درس على * مواد للقراءة المسبقة -* دفاتر Jupyter القابلة للتنفيذ، والتي غالبًا ما تكون خاصة بإطار العمل (**PyTorch** أو **TensorFlow**). يحتوي دفتر الملاحظات القابل للتنفيذ أيضًا على الكثير من المادة النظرية، لذلك لفهم الموضوع تحتاج إلى الاطلاع على إصدار واحد على الأقل من الدفتر (إما PyTorch أو TensorFlow). -* **المختبرات** متاحة لبعض المواضيع، والتي تمنحك فرصة لتطبيق المادة التي تعلمتها على مشكلة محددة. -* بعض الأقسام تحتوي على روابط إلى وحدات [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) التي تغطي مواضيع ذات صلة. +* دفاتر مُنفذة من جيوبتر، وغالبًا ما تكون خاصة بإطار عمل معين (**بايتورتش** أو **تينسرفلو**). يحتوي الدفتر التنفيذي أيضًا على الكثير من المواد النظرية، لذا لفهم الموضوع تحتاج إلى مراجعة نسخة واحدة على الأقل من الدفتر (سواء كانت بايتورتش أو تينسرفلو). +* **معامل** متوفرة لبعض المواضيع، تتيح لك فرصة تجربة تطبيق المادة التي تعلمتها على مشكلة محددة. +* بعض الأقسام تحتوي على روابط لوحدات [**مايكروسوفت ليرن**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) التي تغطي مواضيع ذات صلة. ## البدء -### 🎯 جديد في الذكاء الاصطناعي؟ ابدأ من هنا! +### 🎯 جديد على الذكاء الاصطناعي؟ ابدأ هنا! -إذا كنت جديدًا تمامًا على الذكاء الاصطناعي وتريد أمثلة سريعة وتطبيقية، اطلع على [**أمثلة مناسبة للمبتدئين**](./examples/README.md)! تتضمن هذه الأمثلة: +إذا كنت جديدًا تمامًا على الذكاء الاصطناعي وتريد أمثلة عملية سريعة، تحقق من [**أمثلة للمبتدئين**](./examples/README.md)! تتضمن: -- 🌟 **مرحبًا عالم الذكاء الاصطناعي** - برنامجك الأول في الذكاء الاصطناعي (التعرف على الأنماط) -- 🧠 **شبكة عصبية بسيطة** - ابْنِ شبكة عصبية من الصفر -- 🖼️ **مُصنّف صور** - صنّف الصور بتعليقات مفصّلة -- 💬 **تحليل مشاعر النص** - تحليل النص الإيجابي/السلبي +- 🌟 **مرحبًا بالعالم الذكي** - برنامج الذكاء الاصطناعي الأول الخاص بك (التعرف على الأنماط) +- 🧠 **شبكة عصبية بسيطة** - بناء شبكة عصبية من الصفر +- 🖼️ **مصنف الصور** - تصنيف الصور مع تعليقات مفصلة +- 💬 **تحليل مشاعر النص** - تحليل النصوص الإيجابية/السلبية -These examples are designed to help you understand AI concepts before diving into the full curriculum. +تم تصميم هذه الأمثلة لمساعدتك على فهم مفاهيم الذكاء الاصطناعي قبل الغوص في المنهج الكامل. ### 📚 إعداد المنهج الكامل -- لقد أنشأنا درس [درس الإعداد](./lessons/0-course-setup/setup.md) لمساعدتك في إعداد بيئة التطوير الخاصة بك. - للمعلمين، لقد أنشأنا أيضًا درس [إعداد المناهج](./lessons/0-course-setup/for-teachers.md) من أجلك! +- لقد أنشأنا [درس الإعداد](./lessons/0-course-setup/setup.md) لمساعدتك في إعداد بيئة التطوير الخاصة بك. - للمعلمين، أنشأنا أيضًا [درس إعداد المنهج](./lessons/0-course-setup/for-teachers.md) لكم! - كيفية [تشغيل الكود في VSCode أو Codepace](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +اتبع هذه الخطوات: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +تفرع المستودع: انقر على زر "Fork" في أعلى يمين هذه الصفحة. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +نسخ المستودع: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +لا تنسَ وضع نجمة (🌟) على هذا المستودع لتجده بسهولة لاحقًا. -## قابل متعلمين آخرين +## تعرف على المتعلمين الآخرين -انضم إلى [خادم Discord الرسمي للذكاء الاصطناعي](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) للتعارف وبناء شبكة مع متعلمين آخرين يأخذون هذه الدورة والحصول على الدعم. +انضم إلى [خادم الديسكورد الرسمي للذكاء الاصطناعي](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) للتعرف على متعلمين آخرين يأخذون هذا المساق والتواصل معهم والحصول على الدعم. -إذا كان لديك ملاحظات عن المنتج أو أسئلة أثناء البناء قم بزيارة منتدى مطوري [Azure AI Foundry](https://aka.ms/foundry/forum) +إذا كان لديك ملاحظات على المنتج أو أسئلة أثناء البناء قم بزيارة منتدى مطوري [Azure AI Foundry](https://aka.ms/foundry/forum) -## الاختبارات +## الاختبارات القصيرة -> **ملاحظة حول الاختبارات**: جميع الاختبارات موجودة في مجلد Quiz-app في etc\quiz-app، أو [متاحة عبر الإنترنت هنا](https://ff-quizzes.netlify.app/) They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized. +> **ملاحظة عن الاختبارات القصيرة**: جميع الاختبارات موجودة في مجلد Quiz-app في etc\quiz-app، أو [متاحة عبر الإنترنت هنا](https://ff-quizzes.netlify.app/) وهي مرتبطة من داخل الدروس، يمكن تشغيل تطبيق الاختبارات محليًا أو نشره على Azure؛ اتبع التعليمات في مجلد `quiz-app`. يتم تعريبها تدريجياً. -## مطلوب مساعدة +## مطلوب المساعدة -هل لديك اقتراحات أو وجدت أخطاء إملائية أو في الشيفرة؟ ارفع Issue أو أنشئ Pull Request. +هل لديك اقتراحات أو وجدت أخطاء إملائية أو في الكود؟ ارفع مشكلة أو أنشئ طلب سحب. -## شكر خاص +## الشكر الخاص -* **✍️ المؤلف الرئيسي:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 المحرّر:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 رسام السكيتش نوت:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ منشئ الاختبارات:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **✍️ المؤلف الرئيسي:** [Dmitry Soshnikov](http://soshnikov.com)، دكتوراه +* **🔥 المحرر:** [Jen Looper](https://twitter.com/jenlooper)، دكتوراه +* **🎨 رسام الملاحظات التوضيحية:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ منشئ الاختبارات القصيرة:** [Lateefah Bello](https://github.com/CinnamonXI)، [MLSA](https://studentambassadors.microsoft.com/) * **🙏 المساهمون الأساسيون:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## مناهج أخرى -Our team produces other curricula! Check out: +فريقنا ينتج مناهج أخرى! اطلع على: ### LangChain @@ -172,24 +181,24 @@ Our team produces other curricula! Check out: --- -### Azure / Edge / MCP / Agents +### Azure / Edge / MCP / الوكلاء [![AZD للمبتدئين](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [![Edge AI للمبتدئين](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [![MCP للمبتدئين](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI Agents للمبتدئين](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![وكلاء الذكاء الاصطناعي للمبتدئين](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### سلسلة الذكاء التوليدي -[![الذكاء التوليدي للمبتدئين](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![الذكاء التوليدي (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![الذكاء التوليدي (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![الذكاء التوليدي (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +### سلسلة الذكاء الاصطناعي التوليدي +[![الذكاء الاصطناعي التوليدي للمبتدئين](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![الذكاء الاصطناعي التوليدي (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![الذكاء الاصطناعي التوليدي (جافا)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![الذكاء الاصطناعي التوليدي (جافا سكريبت)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- ### التعلم الأساسي -[![ML للمبتدئين](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![التعلم الآلي للمبتدئين](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) [![علوم البيانات للمبتدئين](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) [![الذكاء الاصطناعي للمبتدئين](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) [![الأمن السيبراني للمبتدئين](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) @@ -199,25 +208,25 @@ Our team produces other curricula! Check out: --- -### سلسلة Copilot -[![Copilot للبرمجة المزدوجة بالذكاء الاصطناعي](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot لـ C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![مغامرة Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +### سلسلة المساعد الذكي +[![المساعد الذكي للبرمجة المشتركة بالذكاء الاصطناعي](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![المساعد الذكي لـ C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![مغامرة المساعد الذكي](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## الحصول على المساعدة -إذا واجهت عائقًا أو كان لديك أي أسئلة حول بناء تطبيقات الذكاء الاصطناعي، انضم إلى المتعلمين الآخرين والمطورين ذوي الخبرة في المناقشات حول MCP. إنها مجتمع داعم حيث تُرحب بالأسئلة وتُشارك المعرفة بحرية. +إذا واجهت صعوبة أو كان لديك أي سؤال حول بناء تطبيقات الذكاء الاصطناعي. انضم إلى المتعلمين الآخرين والمطورين ذوي الخبرة في مناقشات حول MCP. إنها مجتمع داعم حيث تُرحب الأسئلة ويتم مشاركة المعرفة بحرية. -[![خادم Microsoft Foundry على Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -إذا كان لديك ملاحظات عن المنتج أو أخطاء أثناء البناء، قم بزيارة: +إذا كان لديك ملاحظات أو أخطاء في المنتج أثناء البناء قم بزيارة: -[![منتدى مطوري Microsoft Foundry](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) +[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -إخلاء المسؤولية: -تمت ترجمة هذا المستند باستخدام خدمة الترجمة بالذكاء الاصطناعي Co-op Translator (https://github.com/Azure/co-op-translator). بينما نسعى إلى الدقة، يرجى ملاحظة أن الترجمات الآلية قد تحتوي على أخطاء أو عدم دقة. يجب اعتبار المستند الأصلي بلغته الأصلية المصدر الموثوق به. بالنسبة للمعلومات الحساسة أو الحرجة، يُستحسن الاستعانة بترجمة بشرية محترفة. نحن غير مسؤولين عن أي سوء فهم أو تفسير خاطئ ينشأ عن استخدام هذه الترجمة. +**إخلاء المسؤولية**: +تمت ترجمة هذا المستند باستخدام خدمة الترجمة الآلية [Co-op Translator](https://github.com/Azure/co-op-translator). بينما نسعى لتحقيق الدقة، يرجى العلم أن الترجمات الآلية قد تحتوي على أخطاء أو عدم دقة. يجب اعتبار المستند الأصلي بلغته الأصلية المصدر الرسمي والمعتمد. بالنسبة للمعلومات الحيوية، يُنصح بالترجمة الاحترافية بواسطة مترجم بشري. نحن غير مسؤولين عن أي سوء فهم أو تفسيرات خاطئة ناتجة عن استخدام هذه الترجمة. \ No newline at end of file diff --git a/translations/de/README.md b/translations/de/README.md index 95cefce2..10f87154 100644 --- a/translations/de/README.md +++ b/translations/de/README.md @@ -1,168 +1,178 @@ -[![GitHub-Lizenz](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub-Mitwirkende](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![GitHub-Issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![GitHub-Pull-Requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs willkommen](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![GitHub-Beobachter](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub-Forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub-Sterne](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Künstliche Intelligenz für Einsteiger - Ein Lehrplan +# Künstliche Intelligenz für Anfänger – Ein Lehrplan |![Sketchnote von @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.de.png)| |:---:| -| AI For Beginners - _Sketchnote von [@girlie_mac](https://twitter.com/girlie_mac)_ | +| KI für Anfänger – _Sketchnote von [@girlie_mac](https://twitter.com/girlie_mac)_ | -Erkunden Sie die Welt der **Künstlichen Intelligenz** (KI) mit unserem 12-wöchigen, 24-Lektionen-Lehrplan! Er enthält praktische Lektionen, Quizze und Labore. Der Lehrplan ist anfängerfreundlich und behandelt Tools wie TensorFlow und PyTorch sowie Ethik in der KI +Erkunde die Welt der **Künstlichen Intelligenz** (KI) mit unserem 12-wöchigen Lehrplan mit 24 Lektionen! Er enthält praxisorientierte Lektionen, Quizze und Labore. Der Lehrplan ist anfängerfreundlich und behandelt Werkzeuge wie TensorFlow und PyTorch sowie Ethik in der KI. ### 🌐 Mehrsprachige Unterstützung -#### Unterstützt über GitHub Action (Automatisiert & immer aktuell) +#### Unterstützt über GitHub Action (automatisiert und immer aktuell) -[Arabisch](../ar/README.md) | [Bengalisch](../bn/README.md) | [Bulgarisch](../bg/README.md) | [Burmesisch (Myanmar)](../my/README.md) | [Chinesisch (vereinfacht)](../zh/README.md) | [Chinesisch (traditionell, Hongkong)](../hk/README.md) | [Chinesisch (traditionell, Macau)](../mo/README.md) | [Chinesisch (traditionell, Taiwan)](../tw/README.md) | [Kroatisch](../hr/README.md) | [Tschechisch](../cs/README.md) | [Dänisch](../da/README.md) | [Niederländisch](../nl/README.md) | [Estnisch](../et/README.md) | [Finnisch](../fi/README.md) | [Französisch](../fr/README.md) | [Deutsch](./README.md) | [Griechisch](../el/README.md) | [Hebräisch](../he/README.md) | [Hindi](../hi/README.md) | [Ungarisch](../hu/README.md) | [Indonesisch](../id/README.md) | [Italienisch](../it/README.md) | [Japanisch](../ja/README.md) | [Kannada](../kn/README.md) | [Koreanisch](../ko/README.md) | [Litauisch](../lt/README.md) | [Malaysisch](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalesisch](../ne/README.md) | [Nigerianisches Pidgin](../pcm/README.md) | [Norwegisch](../no/README.md) | [Persisch (Farsi)](../fa/README.md) | [Polnisch](../pl/README.md) | [Portugiesisch (Brasilien)](../br/README.md) | [Portugiesisch (Portugal)](../pt/README.md) | [Panjabi (Gurmukhi)](../pa/README.md) | [Rumänisch](../ro/README.md) | [Russisch](../ru/README.md) | [Serbisch (Kyrillisch)](../sr/README.md) | [Slowakisch](../sk/README.md) | [Slowenisch](../sl/README.md) | [Spanisch](../es/README.md) | [Swahili](../sw/README.md) | [Schwedisch](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Türkisch](../tr/README.md) | [Ukrainisch](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisch](../vi/README.md) +[Arabisch](../ar/README.md) | [Bengalisch](../bn/README.md) | [Bulgarisch](../bg/README.md) | [Birmanisch (Myanmar)](../my/README.md) | [Chinesisch (vereinfacht)](../zh/README.md) | [Chinesisch (traditionell, Hongkong)](../hk/README.md) | [Chinesisch (traditionell, Macau)](../mo/README.md) | [Chinesisch (traditionell, Taiwan)](../tw/README.md) | [Kroatisch](../hr/README.md) | [Tschechisch](../cs/README.md) | [Dänisch](../da/README.md) | [Niederländisch](../nl/README.md) | [Estnisch](../et/README.md) | [Finnisch](../fi/README.md) | [Französisch](../fr/README.md) | [Deutsch](./README.md) | [Griechisch](../el/README.md) | [Hebräisch](../he/README.md) | [Hindi](../hi/README.md) | [Ungarisch](../hu/README.md) | [Indonesisch](../id/README.md) | [Italienisch](../it/README.md) | [Japanisch](../ja/README.md) | [Kannada](../kn/README.md) | [Koreanisch](../ko/README.md) | [Litauisch](../lt/README.md) | [Malaiisch](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerianisches Pidgin](../pcm/README.md) | [Norwegisch](../no/README.md) | [Persisch (Farsi)](../fa/README.md) | [Polnisch](../pl/README.md) | [Portugiesisch (Brasilien)](../br/README.md) | [Portugiesisch (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumänisch](../ro/README.md) | [Russisch](../ru/README.md) | [Serbisch (Kyrillisch)](../sr/README.md) | [Slowakisch](../sk/README.md) | [Slowenisch](../sl/README.md) | [Spanisch](../es/README.md) | [Swahili](../sw/README.md) | [Schwedisch](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thailändisch](../th/README.md) | [Türkisch](../tr/README.md) | [Ukrainisch](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamesisch](../vi/README.md) + +> **Bevorzugen Sie das lokale Klonen?** + +> Dieses Repository enthält über 50 Sprachübersetzungen, was die Download-Größe erheblich erhöht. Um ohne Übersetzungen zu klonen, verwenden Sie Sparse Checkout: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> Das gibt Ihnen alles, was Sie zum Absolvieren des Kurses benötigen, mit einem deutlich schnelleren Download. -**Wenn Sie zusätzliche Übersetzungen wünschen, sind unterstützte Sprachen [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) aufgeführt** +**Wenn Sie weitere unterstützte Übersetzungssprachen wünschen, sind diese [hier](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) aufgeführt.** -## Treten Sie der Community bei +## Tritt der Community bei [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Was Sie lernen werden -**[Mindmap des Kurses](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Gedankenkarte des Kurses](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** In diesem Lehrplan lernen Sie: -* Verschiedene Ansätze der Künstlichen Intelligenz, einschließlich des „guten alten“ symbolischen Ansatzes mit **Wissensrepräsentation** und Schlussfolgerung ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Neuronale Netze** und **Deep Learning**, die den Kern der modernen KI bilden. Wir veranschaulichen die Konzepte hinter diesen wichtigen Themen mit Code in zwei der populärsten Frameworks - [TensorFlow](http://Tensorflow.org) und [PyTorch](http://pytorch.org). -* **Neuronale Architekturen** für die Arbeit mit Bildern und Text. Wir behandeln aktuelle Modelle, könnten aber etwas hinter dem Stand der Technik zurückbleiben. -* Weniger verbreitete KI-Ansätze, wie **genetische Algorithmen** und **Multi-Agenten-Systeme**. +* Verschiedene Ansätze zur Künstlichen Intelligenz, einschließlich des "guten alten" symbolischen Ansatzes mit **Wissensrepräsentation** und Schlussfolgerungen ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Neuronale Netze** und **Deep Learning**, die das Herzstück der modernen KI bilden. Wir veranschaulichen die Konzepte hinter diesen wichtigen Themen anhand von Code in zwei der beliebtesten Frameworks – [TensorFlow](http://Tensorflow.org) und [PyTorch](http://pytorch.org). +* **Neuronale Architekturen** für die Arbeit mit Bildern und Texten. Wir behandeln aktuelle Modelle, können jedoch etwas hinter dem neuesten Stand zurückbleiben. +* Weniger populäre KI-Ansätze wie **Genetische Algorithmen** und **Multi-Agenten-Systeme**. -Was wir in diesem Lehrplan nicht behandeln werden: +Was wir in diesem Lehrplan nicht behandeln: -> [Finden Sie alle zusätzlichen Ressourcen für diesen Kurs in unserer Microsoft Learn-Sammlung](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Finden Sie alle zusätzlichen Ressourcen für diesen Kurs in unserer Microsoft Learn Sammlung](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Business-Fälle für den Einsatz von **KI im Unternehmen**. Ziehen Sie in Betracht, den Lernpfad [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) auf Microsoft Learn oder die [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), entwickelt in Zusammenarbeit mit [INSEAD](https://www.insead.edu/), zu besuchen. +* Geschäftsanwendungen von **KI im Business**. Ziehen Sie den Lernpfad [Einführung in KI für Geschäftsbenutzer](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) auf Microsoft Learn oder die [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) in Zusammenarbeit mit [INSEAD](https://www.insead.edu/) in Betracht. * **Klassisches Machine Learning**, das in unserem [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) gut beschrieben ist. -* Praktische KI-Anwendungen, die mit **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** erstellt wurden. Dafür empfehlen wir, mit Microsoft Learn-Modulen zu [Vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natürlicher Sprachverarbeitung](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** und anderen zu beginnen. -* Spezifische ML-**Cloud-Frameworks**, wie [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) oder [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Ziehen Sie in Betracht, die Lernpfade [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) und [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) zu nutzen. -* **Konversationelle KI** und **Chatbots**. Es gibt einen separaten Lernpfad [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), und Sie können sich auch [diesen Blogbeitrag](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) für weitere Details ansehen. -* **Tiefgehende Mathematik** hinter Deep Learning. Dafür empfehlen wir [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) von Ian Goodfellow, Yoshua Bengio und Aaron Courville, das auch online unter [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) verfügbar ist. +* Praktische KI-Anwendungen, die mit **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** erstellt wurden. Dafür empfehlen wir den Start mit Microsoft Learn Modulen für [Vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [natürliche Sprachverarbeitung](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative KI mit Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** und andere. +* Spezifische ML **Cloud-Frameworks**, wie [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) oder [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Nutzen Sie die Lernpfade [Machine Learning-Lösungen mit Azure Machine Learning entwickeln und betreiben](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) und [Machine Learning-Lösungen mit Azure Databricks entwickeln und betreiben](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Konversations-KI** und **Chatbots**. Es gibt einen eigenen Lernpfad [Konversations-KI-Lösungen erstellen](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), und Sie können sich auch diesen [Blogbeitrag](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) für weitere Details ansehen. +* **Tiefe Mathematik** hinter Deep Learning. Dafür empfehlen wir [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) von Ian Goodfellow, Yoshua Bengio und Aaron Courville, das auch online unter [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) verfügbar ist. -Für eine sanfte Einführung in Themen zu _KI in der Cloud_ können Sie den Lernpfad [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) absolvieren. +Für eine sanfte Einführung in _KI in der Cloud_ Themen können Sie den Lernpfad [Erste Schritte mit künstlicher Intelligenz auf Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) absolvieren. # Inhalt -| | Lektionslink | PyTorch/Keras/TensorFlow | Labor | +| | Lektion Link | PyTorch/Keras/TensorFlow | Labor | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Kurs-Setup](./lessons/0-course-setup/setup.md) | [Einrichten Ihrer Entwicklungsumgebung](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [Kurs Einrichtung](./lessons/0-course-setup/setup.md) | [Richten Sie Ihre Entwicklungsumgebung ein](./lessons/0-course-setup/how-to-run.md) | | | I | [**Einführung in KI**](./lessons/1-Intro/README.md) | | | | 01 | [Einführung und Geschichte der KI](./lessons/1-Intro/README.md) | - | - | | II | **Symbolische KI** | -| 02 | [Wissensrepräsentation und Expertensysteme](./lessons/2-Symbolic/README.md) | [Expertensysteme](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konzeptgraph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Einführung in neuronale Netze**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labor](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Mehrschichtiges Perceptron und Erstellen unseres eigenen Frameworks](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labor](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 02 | [Wissensrepräsentation und Expertensysteme](./lessons/2-Symbolic/README.md) | [Expertensysteme](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Begriffsgraf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**Einführung in Neuronale Netze**](./lessons/3-NeuralNetworks/README.md) ||| +| 03 | [Perzeptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Labor](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Mehrschichtiger Perzeptron und Erstellung unseres eigenen Frameworks](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Labor](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | | 05 | [Einführung in Frameworks (PyTorch/TensorFlow) und Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Computer Vision**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Computer Vision auf Microsoft Azure erkunden](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| IV | [**Computer Vision**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Entdecken Sie Computer Vision auf Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | | 06 | [Einführung in Computer Vision. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Labor](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Faltungsneuronale Netze](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN-Architekturen](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Labor](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Vortrainierte Netzwerke und Transferlernen](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Training-Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Architekturen](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Labor](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Vortrainierte Netzwerke und Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) und [Training Tricks](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Labor](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoencoder und VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | | 10 | [Generative Adversarial Networks & Künstlerischer Stiltransfer](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Objekterkennung](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Labor](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Semantische Segmentierung. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**Natürliche Sprachverarbeitung**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Natural Language Processing auf Microsoft Azure erkunden](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Textrepräsentation. BoW/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [Semantische Wort-Einbettungen. Word2Vec und GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Sprachmodellierung. Eigene Einbettungen trainieren](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Labor](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Rekurrente Neuronale Netze](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [Generative Rekurrente Netze](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Labor](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [Transformer. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Erkennung benannter Entitäten](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Labor](./lessons/5-NLP/19-NER/lab/README.md) | +| V | [**Natürliche Sprachverarbeitung**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Entdecken Sie Natural Language Processing auf Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Textdarstellung. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [Semantische Wort-Embeddings. Word2Vec und GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [Sprachmodellierung. Eigene Embeddings trainieren](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Labor](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Rekurrente neuronale Netzwerke](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| 17 | [Generative rekurrente Netzwerke](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Labor](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | +| 19 | [Benannte Entitätserkennung](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Labor](./lessons/5-NLP/19-NER/lab/README.md) | | 20 | [Große Sprachmodelle, Prompt-Programmierung und Few-Shot-Aufgaben](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Andere KI-Techniken** || | | 21 | [Genetische Algorithmen](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Tiefes Verstärkungslernen](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Labor](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 22 | [Deep Reinforcement Learning](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Labor](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Multi-Agenten-Systeme](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **KI-Ethik** | | | -| 24 | [KI-Ethik und verantwortungsvolle KI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinzipien für verantwortungsvolle KI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 24 | [KI-Ethik und verantwortungsbewusste KI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinzipien verantwortungsvoller KI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Extras** | | | | 25 | [Multimodale Netzwerke, CLIP und VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Jede Lektion enthält -* Vorbereitendes Material -* Ausführbare Jupyter-Notebooks, die oft framework-spezifisch sind (**PyTorch** oder **TensorFlow**). Das ausführbare Notebook enthält auch viel theoretisches Material. Um das Thema zu verstehen, sollten Sie mindestens eine Version des Notebooks durcharbeiten (entweder PyTorch oder TensorFlow). -* **Labore** für einige Themen, die Ihnen die Möglichkeit geben, das Gelernte auf ein konkretes Problem anzuwenden. -* Einige Abschnitte enthalten Links zu [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) Modulen, die verwandte Themen behandeln. +* Vorlesestoff +* Ausführbare Jupyter Notebooks, die oft frameworkspezifisch sind (**PyTorch** oder **TensorFlow**). Das ausführbare Notebook enthält auch viel theoretisches Material, sodass Sie zum Verständnis des Themas mindestens eine Version des Notebooks durchgehen sollten (entweder PyTorch oder TensorFlow). +* **Labore**, die zu einigen Themen verfügbar sind und Ihnen die Möglichkeit geben, das Gelernte bei einer bestimmten Aufgabe anzuwenden. +* Einige Abschnitte enthalten Links zu [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)-Modulen, die verwandte Themen abdecken. ## Erste Schritte -### 🎯 Neu in der KI? Hier anfangen! +### 🎯 Neu in KI? Hier anfangen! -Wenn Sie komplett neu in der KI sind und schnelle, praxisnahe Beispiele möchten, schauen Sie sich unsere [**Beispiele für Einsteiger**](./examples/README.md) an! Diese beinhalten: +Wenn Sie völlig neu in der KI sind und schnelle, praktische Beispiele suchen, sehen Sie sich unsere [**Anfängerfreundlichen Beispiele**](./examples/README.md) an! Diese umfassen: -- 🌟 **Hello AI World** - Ihr erstes KI-Programm (Mustererkennung) -- 🧠 **Einfaches neuronales Netzwerk** - Ein neuronales Netzwerk von Grund auf erstellen -- 🖼️ **Bildklassifikator** - Bilder mit ausführlichen Kommentaren klassifizieren -- 💬 **Textsentiment** - Analysiere positiven/negativen Text +- 🌟 **Hallo KI Welt** – Ihr erstes KI-Programm (Mustererkennung) +- 🧠 **Einfaches neuronales Netzwerk** – Erstellen Sie ein neuronales Netzwerk von Grund auf +- 🖼️ **Bildklassifikator** – Bilder mit detaillierten Kommentaren klassifizieren +- 💬 **Textstimmung** - Analysiere positiven/negativen Text -Diese Beispiele sollen dir helfen, KI-Konzepte zu verstehen, bevor du in das vollständige Curriculum eintauchst. +Diese Beispiele sollen Ihnen helfen, KI-Konzepte zu verstehen, bevor Sie in das vollständige Curriculum eintauchen. -### 📚 Einrichten des vollständigen Curriculums +### 📚 Komplette Curriculum-Einrichtung -- Wir haben eine [Setup-Lektion](./lessons/0-course-setup/setup.md) erstellt, die dir beim Einrichten deiner Entwicklungsumgebung hilft. - Für Lehrkräfte haben wir ebenfalls eine [Curriculum-Setup-Lektion](./lessons/0-course-setup/for-teachers.md) erstellt! -- Wie man [den Code in VSCode oder Codepace ausführt](./lessons/0-course-setup/how-to-run.md) +- Wir haben eine [Einrichtungslektion](./lessons/0-course-setup/setup.md) erstellt, um Ihnen bei der Einrichtung Ihrer Entwicklungsumgebung zu helfen. - Für Lehrende haben wir ebenfalls eine [Curricula-Einrichtungslektion](./lessons/0-course-setup/for-teachers.md) erstellt! +- Wie man den Code in VSCode oder Codepace [ausführt](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +Folgen Sie diesen Schritten: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Repository forken: Klicken Sie auf die Schaltfläche „Fork“ oben rechts auf dieser Seite. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Repository klonen: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +Vergessen Sie nicht, dieses Repo mit einem Stern (🌟) zu markieren, um es später leichter zu finden. -## Meet other Learners +## Treffen Sie andere Lernende -Tritt unserem [offiziellen AI-Discord-Server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) bei, um andere Lernende dieses Kurses zu treffen, dich zu vernetzen und Unterstützung zu erhalten. +Treten Sie unserem [offiziellen AI Discord-Server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) bei, um andere Lernende, die diesen Kurs absolvieren, zu treffen, sich zu vernetzen und Unterstützung zu erhalten. -If you have product feedback or questions whilst building visit our [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Wenn Sie Produktfeedback oder Fragen während des Erstellens haben, besuchen Sie unser [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) -## Quizze +## Quizze -> **A note about quizzes**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [Online hier](https://ff-quizzes.netlify.app/) Sie sind in den Lektionen verlinkt; die Quiz-App kann lokal ausgeführt oder in Azure bereitgestellt werden; befolge die Anweisungen im `quiz-app`-Ordner. Sie werden nach und nach lokalisiert. +> **Ein Hinweis zu Quizzen**: Alle Quizze befinden sich im Ordner Quiz-app in etc\quiz-app oder [Online hier](https://ff-quizzes.netlify.app/). Sie sind aus den Lektionen verlinkt, die Quiz-App kann lokal ausgeführt oder zu Azure bereitgestellt werden; folgen Sie den Anweisungen im `quiz-app`-Ordner. Sie werden nach und nach lokalisiert. -## Hilfe gesucht +## Hilfe Gesucht -Hast du Vorschläge oder Rechtschreib- oder Codefehler gefunden? Erstelle ein Issue oder sende einen Pull Request. +Haben Sie Vorschläge oder Fehler in Rechtschreibung oder Code gefunden? Eröffnen Sie ein Issue oder erstellen Sie einen Pull Request. ## Besonderer Dank * **✍️ Hauptautor:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 Redakteur:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Sketchnote-Illustrator:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Quiz-Ersteller:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Kernbeitragende:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD +* **🎨 Sketchnote-Illustratorin:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ Quiz-Erstellerin:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Kernmitwirkende:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Weitere Curricula +## Andere Curricula -Unser Team stellt weitere Curricula bereit! Schau dir diese an: +Unser Team erstellt weitere Curricula! Schauen Sie sich an: ### LangChain @@ -171,25 +181,25 @@ Unser Team stellt weitere Curricula bereit! Schau dir diese an: --- -### Azure / Edge / MCP / Agenten +### Azure / Edge / MCP / Agents [![AZD für Anfänger](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI für Anfänger](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge KI für Anfänger](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [![MCP für Anfänger](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) [![KI-Agenten für Anfänger](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- - -### Generative AI-Serie + +### Generative KI-Serie [![Generative KI für Anfänger](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generative KI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [![Generative KI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) [![Generative KI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- - -### Kernbereiche -[![Maschinelles Lernen für Anfänger](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Datenwissenschaft für Anfänger](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) + +### Kernwissen Lernen +[![ML für Anfänger](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science für Anfänger](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) [![KI für Anfänger](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) [![Cybersicherheit für Anfänger](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) [![Webentwicklung für Anfänger](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) @@ -197,26 +207,26 @@ Unser Team stellt weitere Curricula bereit! Schau dir diese an: [![XR-Entwicklung für Anfänger](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- - + ### Copilot-Serie -[![Copilot für KI-Paarprogrammierung](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot für AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot für C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) [![Copilot-Abenteuer](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## Hilfe erhalten -Wenn du feststeckst oder Fragen zum Erstellen von KI-Apps hast, tritt Diskussionen mit anderen Lernenden und erfahrenen Entwicklern über MCP bei. Es ist eine unterstützende Community, in der Fragen willkommen sind und Wissen frei geteilt wird. +Wenn Sie nicht weiterkommen oder Fragen zur Entwicklung von KI-Anwendungen haben, treten Sie Gleichgesinnten und erfahrenen Entwicklern bei, um über MCP zu diskutieren. Es ist eine unterstützende Gemeinschaft, in der Fragen willkommen sind und Wissen frei geteilt wird. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you have product feedback or errors while building visit: +Wenn Sie Produktfeedback oder Fehler beim Erstellen haben, besuchen Sie: -[![Microsoft Foundry Entwicklerforum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) +[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -Haftungsausschluss: -Dieses Dokument wurde mithilfe des KI-Übersetzungsdienstes [Co-op Translator](https://github.com/Azure/co-op-translator) übersetzt. Obwohl wir uns um Genauigkeit bemühen, beachten Sie bitte, dass automatisierte Übersetzungen Fehler oder Ungenauigkeiten enthalten können. Das Originaldokument in seiner Ausgangssprache ist als maßgebliche Quelle zu betrachten. Bei wichtigen Informationen wird eine professionelle menschliche Übersetzung empfohlen. Wir übernehmen keine Haftung für Missverständnisse oder Fehlinterpretationen, die sich aus der Verwendung dieser Übersetzung ergeben. +**Haftungsausschluss**: +Dieses Dokument wurde mit dem KI-Übersetzungsdienst [Co-op Translator](https://github.com/Azure/co-op-translator) übersetzt. Obwohl wir uns um Genauigkeit bemühen, sollten Sie beachten, dass automatisierte Übersetzungen Fehler oder Ungenauigkeiten enthalten können. Das Originaldokument in seiner Ursprungssprache ist als maßgebliche Quelle zu betrachten. Für wichtige Informationen empfehlen wir eine professionelle menschliche Übersetzung. Wir übernehmen keine Haftung für Missverständnisse oder Fehlinterpretationen, die durch die Verwendung dieser Übersetzung entstehen. \ No newline at end of file diff --git a/translations/es/README.md b/translations/es/README.md index 9cdf2e59..39fc675a 100644 --- a/translations/es/README.md +++ b/translations/es/README.md @@ -1,46 +1,56 @@ -[![Licencia de GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![Contribuidores de GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![Problemas de GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![Pull requests de GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs bienvenidas](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![Observadores de GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![Forks de GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![Estrellas de GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) -[![Discord de Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Inteligencia Artificial para Principiantes - Un plan de estudios +# Inteligencia Artificial para Principiantes - Un Plan de Estudios -|![Sketchnote por @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.es.png)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.es.png)| |:---:| | AI Para Principiantes - _Sketchnote por [@girlie_mac](https://twitter.com/girlie_mac)_ | -Explora el mundo de la **Inteligencia Artificial** (IA) con nuestro plan de estudios de 12 semanas y 24 lecciones. Incluye lecciones prácticas, cuestionarios y laboratorios. El plan de estudios es apto para principiantes y cubre herramientas como TensorFlow y PyTorch, así como la ética en la IA +¡Explora el mundo de la **Inteligencia Artificial** (IA) con nuestro plan de estudios de 12 semanas y 24 lecciones! Incluye lecciones prácticas, cuestionarios y laboratorios. El plan es amigable para principiantes y cubre herramientas como TensorFlow y PyTorch, así como ética en IA. -### 🌐 Soporte multilingüe +### 🌐 Soporte Multilingüe -#### Soportado mediante GitHub Action (Automatizado y siempre actualizado) +#### Soportado mediante GitHub Action (Automatizado y Siempre Actualizado) -[Árabe](../ar/README.md) | [Bengalí](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmano (Myanmar)](../my/README.md) | [Chino (simplificado)](../zh/README.md) | [Chino (tradicional, Hong Kong)](../hk/README.md) | [Chino (tradicional, Macao)](../mo/README.md) | [Chino (tradicional, Taiwán)](../tw/README.md) | [Croata](../hr/README.md) | [Checo](../cs/README.md) | [Danés](../da/README.md) | [Neerlandés](../nl/README.md) | [Estonio](../et/README.md) | [Finlandés](../fi/README.md) | [Francés](../fr/README.md) | [Alemán](../de/README.md) | [Griego](../el/README.md) | [Hebreo](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonesio](../id/README.md) | [Italiano](../it/README.md) | [Japonés](../ja/README.md) | [Kannada](../kn/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malayo](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalí](../ne/README.md) | [Pidgin nigeriano](../pcm/README.md) | [Noruego](../no/README.md) | [Persa (farsi)](../fa/README.md) | [Polaco](../pl/README.md) | [Portugués (Brasil)](../br/README.md) | [Portugués (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumano](../ro/README.md) | [Ruso](../ru/README.md) | [Serbio (cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Español](./README.md) | [Swahili](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalo (filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Tailandés](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md) +[Árabe](../ar/README.md) | [Bengalí](../bn/README.md) | [Búlgaro](../bg/README.md) | [Birmano (Myanmar)](../my/README.md) | [Chino (Simplificado)](../zh/README.md) | [Chino (Tradicional, Hong Kong)](../hk/README.md) | [Chino (Tradicional, Macau)](../mo/README.md) | [Chino (Tradicional, Taiwán)](../tw/README.md) | [Croata](../hr/README.md) | [Checo](../cs/README.md) | [Danés](../da/README.md) | [Neerlandés](../nl/README.md) | [Estonio](../et/README.md) | [Finlandés](../fi/README.md) | [Francés](../fr/README.md) | [Alemán](../de/README.md) | [Griego](../el/README.md) | [Hebreo](../he/README.md) | [Hindi](../hi/README.md) | [Húngaro](../hu/README.md) | [Indonesio](../id/README.md) | [Italiano](../it/README.md) | [Japonés](../ja/README.md) | [Kannada](../kn/README.md) | [Coreano](../ko/README.md) | [Lituano](../lt/README.md) | [Malayo](../ms/README.md) | [Malayalam](../ml/README.md) | [Maratí](../mr/README.md) | [Nepalí](../ne/README.md) | [Pidgin Nigeriano](../pcm/README.md) | [Noruego](../no/README.md) | [Persa (Farsi)](../fa/README.md) | [Polaco](../pl/README.md) | [Portugués (Brasil)](../br/README.md) | [Portugués (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumano](../ro/README.md) | [Ruso](../ru/README.md) | [Serbio (Cirílico)](../sr/README.md) | [Eslovaco](../sk/README.md) | [Esloveno](../sl/README.md) | [Español](./README.md) | [Swahili](../sw/README.md) | [Sueco](../sv/README.md) | [Tagalo (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Tailandés](../th/README.md) | [Turco](../tr/README.md) | [Ucraniano](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamita](../vi/README.md) + +> **¿Prefieres Clonar Localmente?** + +> Este repositorio incluye más de 50 traducciones, lo cual incrementa significativamente el tamaño de la descarga. Para clonar sin traducciones, usa sparse checkout: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> Esto te brinda todo lo que necesitas para completar el curso con una descarga mucho más rápida. -**Si deseas que se añadan idiomas de traducción adicionales, están listados [aquí](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Si deseas que se soporten más idiomas de traducción, están listados [aquí](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## Únete a la comunidad -[![Discord de Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +## Únete a la Comunidad +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Qué aprenderás @@ -48,121 +58,121 @@ Explora el mundo de la **Inteligencia Artificial** (IA) con nuestro plan de estu En este plan de estudios aprenderás: -* Diferentes enfoques de la Inteligencia Artificial, incluyendo el enfoque simbólico "a la antigua" con **Representación del Conocimiento** y razonamiento ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Redes neuronales** y **Aprendizaje profundo**, que están en el núcleo de la IA moderna. Ilustraremos los conceptos detrás de estos temas importantes usando código en dos de los marcos más populares - [TensorFlow](http://Tensorflow.org) y [PyTorch](http://pytorch.org). -* **Arquitecturas neuronales** para trabajar con imágenes y texto. Cubriremos modelos recientes pero puede que estemos un poco alejados del estado del arte. -* Enfoques de IA menos populares, como **Algoritmos genéticos** y **Sistemas multiagente**. +* Diferentes enfoques de Inteligencia Artificial, incluyendo el "buen y viejo" enfoque simbólico con **Representación del Conocimiento** y razonamiento ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Redes Neuronales** y **Aprendizaje Profundo**, que están en el núcleo de la IA moderna. Ilustraremos los conceptos detrás de estos temas importantes usando código en dos de los frameworks más populares: [TensorFlow](http://Tensorflow.org) y [PyTorch](http://pytorch.org). +* **Arquitecturas Neuronales** para trabajar con imágenes y texto. Cubriremos modelos recientes aunque puede que falten algunos de última generación. +* Enfoques menos populares de IA, como **Algoritmos Genéticos** y **Sistemas Multiagente**. Lo que no cubriremos en este plan de estudios: > [Encuentra todos los recursos adicionales para este curso en nuestra colección de Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Casos de negocio del uso de **IA en la empresa**. Considera tomar la ruta de aprendizaje [Introducción a la IA para usuarios empresariales](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) en Microsoft Learn, o [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), desarrollada en cooperación con [INSEAD](https://www.insead.edu/). -* **Aprendizaje automático clásico**, que está bien descrito en nuestro [Currículo de Aprendizaje automático para principiantes](http://github.com/Microsoft/ML-for-Beginners). -* Aplicaciones prácticas de IA desarrolladas usando **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para esto, recomendamos que comiences con los módulos de Microsoft Learn para [visión](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [procesamiento de lenguaje natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** y otros. -* **Marcos en la nube específicos para ML**, como [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), o [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considera usar las rutas de aprendizaje [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) y [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **IA conversacional** y **Chat Bots**. Existe una ruta de aprendizaje separada [Crear soluciones de IA conversacional](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), y también puedes consultar [esta publicación del blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para más detalles. +* Casos de negocio de uso de **IA en los Negocios**. Considera tomar la ruta de aprendizaje [Introducción a la IA para usuarios de negocio](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) en Microsoft Learn, o [Escuela de Negocios de IA](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), desarrollada en cooperación con [INSEAD](https://www.insead.edu/). +* **Aprendizaje Automático Clásico**, que está bien descrito en nuestro [Plan de Estudios para Principiantes en Machine Learning](http://github.com/Microsoft/ML-for-Beginners). +* Aplicaciones prácticas de IA construidas usando **[Servicios Cognitivos](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Para ello, recomendamos comenzar con los módulos de Microsoft Learn para [visión](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [procesamiento de lenguaje natural](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Generativa con Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** y otros. +* Frameworks específicos de ML en la **Nube**, como [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), o [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Considera usar las rutas de aprendizaje [Construye y opera soluciones de machine learning con Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) y [Construye y opera soluciones de machine learning con Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **IA Conversacional** y **Chat Bots**. Hay una ruta de aprendizaje separada [Crea soluciones de IA conversacionales](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), y también puedes consultar [este blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) para más detalles. * **Matemáticas profundas** detrás del aprendizaje profundo. Para esto, recomendamos [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio y Aaron Courville, que también está disponible en línea en [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Para una introducción suave a los temas de _IA en la nube_ puedes considerar tomar la Ruta de aprendizaje [Comienza con inteligencia artificial en Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +Para una introducción suave a los temas de _IA en la Nube_ puedes considerar tomar la ruta de aprendizaje [Comienza con inteligencia artificial en Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Contenido -| | Lesson Link | PyTorch/Keras/TensorFlow | Lab | +| | Enlace de la Lección | PyTorch/Keras/TensorFlow | Laboratorio | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Course Setup](./lessons/0-course-setup/setup.md) | [Setup Your Development Environment](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [Configuración del Curso](./lessons/0-course-setup/setup.md) | [Configura tu entorno de desarrollo](./lessons/0-course-setup/how-to-run.md) | | | I | [**Introducción a la IA**](./lessons/1-Intro/README.md) | | | -| 01 | [Introducción e historia de la IA](./lessons/1-Intro/README.md) | - | - | -| II | **IA simbólica** | -| 02 | [Representación del conocimiento y sistemas expertos](./lessons/2-Symbolic/README.md) | [Sistemas expertos](./lessons/2-Symbolic/Animals.ipynb) / [Ontología](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Grafo de conceptos](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Introducción a las redes neuronales**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Perceptrón](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Cuaderno](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorio](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Perceptrón Multicapa y Crear nuestro propio framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Cuaderno](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorio](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Introducción a Frameworks (PyTorch/TensorFlow) y Sobreajuste](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorio](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Visión por Computadora**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Explora la Visión por Computadora en Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Introducción a la Visión por Computadora. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Cuaderno](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorio](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Redes Neuronales Convolucionales](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arquitecturas CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorio](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Redes preentrenadas y Aprendizaje por Transferencia](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Trucos de entrenamiento](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorio](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 01 | [Introducción e Historia de la IA](./lessons/1-Intro/README.md) | - | - | +| II | **IA Simbólica** | +| 02 | [Representación del Conocimiento y Sistemas Expertos](./lessons/2-Symbolic/README.md) | [Sistemas Expertos](./lessons/2-Symbolic/Animals.ipynb) / [Ontología](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Grafo Conceptual](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**Introducción a las Redes Neuronales**](./lessons/3-NeuralNetworks/README.md) ||| +| 03 | [Perceptrón](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Perceptrón multicapa y creación de nuestro propio framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Introducción a frameworks (PyTorch/TensorFlow) y sobreajuste](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Visión por Computadora**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Explora Visión por Computadora en Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Introducción a Visión por Computadora. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Redes Neuronales Convolucionales](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arquitecturas CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Redes preentrenadas y aprendizaje por transferencia](./lessons/4-ComputerVision/08-TransferLearning/README.md) y [Trucos de entrenamiento](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoencoders y VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Redes Generativas Antagónicas y Transferencia de Estilo Artístico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Detección de Objetos](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorio](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [Segmentación Semántica. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**Procesamiento de Lenguaje Natural**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explora el Procesamiento de Lenguaje Natural en Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Representación de Texto. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [Embeddings semánticos de palabras. Word2Vec y GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Modelado de Lenguaje. Entrenar tus propios embeddings](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laboratorio](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 10 | [Redes Generativas Antagónicas y Transferencia de estilo artístico](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Detección de objetos](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 12 | [Segmentación semántica. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | +| V | [**Procesamiento del Lenguaje Natural**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explora Procesamiento del Lenguaje Natural en Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Representación de texto. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [Incrustaciones de palabras semánticas. Word2Vec y GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [Modelado de lenguaje. Entrenando tus propias incrustaciones](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Redes Neuronales Recurrentes](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [Redes Recurrentes Generativas](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laboratorio](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 17 | [Redes Recurrentes Generativas](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Reconocimiento de Entidades Nombradas](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorio](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Modelos de Lenguaje Grande, Programación de Prompts y Tareas Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Otras técnicas de IA** || | -| 21 | [Algoritmos Genéticos](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Cuaderno](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Aprendizaje por Refuerzo Profundo](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Laboratorio](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Sistemas Multiagente](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **Ética de la IA** | | | -| 24 | [Ética de la IA y IA Responsable](./lessons/7-Ethics/README.md) | [Microsoft Learn: Responsible AI Principles](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 19 | [Reconocimiento de Entidades Nombradas](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Modelos de Lenguaje Grandes, Programación por indicios y Tareas Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Otras Técnicas de IA** || | +| 21 | [Algoritmos Genéticos](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [Aprendizaje por Refuerzo Profundo](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Sistemas Multi-Agente](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| VII | **Ética en IA** | | | +| 24 | [Ética en IA y IA Responsable](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principios de IA Responsable](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Extras** | | | -| 25 | [Redes Multimodales, CLIP y VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Cuaderno](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [Redes multimodales, CLIP y VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Cada lección contiene -* Material de lectura previa -* Cuadernos Jupyter ejecutables, que a menudo son específicos del framework (**PyTorch** o **TensorFlow**). El cuaderno ejecutable también contiene mucho material teórico, por lo que para entender el tema necesitas revisar al menos una versión del cuaderno (ya sea PyTorch o TensorFlow). -* **Laboratorios** disponibles para algunos temas, que te dan la oportunidad de intentar aplicar el material que has aprendido a un problema específico. +* Material de lectura previa +* Jupyter Notebooks ejecutables, que a menudo son específicos para el framework (**PyTorch** o **TensorFlow**). El notebook ejecutable también contiene mucho material teórico, por lo que para entender el tema es necesario repasar al menos una versión del notebook (ya sea PyTorch o TensorFlow). +* **Laboratorios** disponibles para algunos temas, que te dan la oportunidad de aplicar el material aprendido a un problema específico. * Algunas secciones contienen enlaces a módulos de [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) que cubren temas relacionados. -## Primeros pasos +## Comenzando ### 🎯 ¿Nuevo en IA? ¡Empieza aquí! -Si eres completamente nuevo en IA y quieres ejemplos prácticos y rápidos, consulta nuestros [**Ejemplos para principiantes**](./examples/README.md)! Estos incluyen: +Si eres completamente nuevo en IA y quieres ejemplos rápidos y prácticos, ¡consulta nuestros [**Ejemplos amigables para principiantes**](./examples/README.md)! Estos incluyen: -- 🌟 **Hola Mundo IA** - Tu primer programa de IA (reconocimiento de patrones) +- 🌟 **Hola Mundo de IA** - Tu primer programa de IA (reconocimiento de patrones) - 🧠 **Red Neuronal Simple** - Construye una red neuronal desde cero - 🖼️ **Clasificador de imágenes** - Clasifica imágenes con comentarios detallados -- 💬 **Análisis de Sentimiento de Texto** - Analiza texto positivo/negativo +- 💬 **Sentimiento del Texto** - Analiza texto positivo/negativo -Estos ejemplos están diseñados para ayudarte a comprender los conceptos de IA antes de profundizar en el plan de estudios completo. +Estos ejemplos están diseñados para ayudarte a entender conceptos de IA antes de profundizar en el plan completo de estudios. -### 📚 Configuración completa del plan de estudios +### 📚 Configuración del plan completo -- Hemos creado una [lección de configuración](./lessons/0-course-setup/setup.md) para ayudarte con la configuración de tu entorno de desarrollo. - ¡Para educadores, también hemos creado una [lección de configuración del plan de estudios](./lessons/0-course-setup/for-teachers.md) para ustedes! +- Hemos creado una [lección de configuración](./lessons/0-course-setup/setup.md) para ayudarte a configurar tu entorno de desarrollo. - ¡Para educadores, también hemos creado una [lección de configuración del plan de estudios](./lessons/0-course-setup/for-teachers.md)! - Cómo [Ejecutar el código en VSCode o Codepace](./lessons/0-course-setup/how-to-run.md) Sigue estos pasos: -Fork the Repository: Haz clic en el botón "Fork" en la esquina superior derecha de esta página. +Bifurca el repositorio: Haz clic en el botón "Fork" en la esquina superior derecha de esta página. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Clona el repositorio: `git clone https://github.com/microsoft/AI-For-Beginners.git` -No olvides añadir una estrella (🌟) a este repositorio para encontrarlo más fácilmente más tarde. +No olvides darle una estrella (🌟) a este repositorio para encontrarlo más fácilmente después. ## Conoce a otros estudiantes -Únete a nuestro [servidor oficial de Discord de IA](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) para conocer y conectar con otros estudiantes que están realizando este curso y obtener apoyo. +Únete a nuestro [servidor oficial de Discord de IA](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) para conocer y conectar con otros estudiantes que toman este curso y obtener apoyo. -Si tienes comentarios sobre el producto o preguntas mientras construyes, visita nuestro [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Si tienes comentarios sobre el producto o preguntas mientras construyes, visita nuestro [Foro de Desarrolladores de Azure AI Foundry](https://aka.ms/foundry/forum) -## Cuestionarios +## Cuestionarios -> **Una nota sobre los cuestionarios**: Todos los cuestionarios están contenidos en la carpeta Quiz-app en etc\quiz-app, o [En línea Aquí](https://ff-quizzes.netlify.app/) Están enlazados desde las lecciones; la aplicación de cuestionarios puede ejecutarse localmente o desplegarse en Azure; sigue las instrucciones en la carpeta `quiz-app`. Se están localizando gradualmente. +> **Una nota sobre los cuestionarios**: Todos los cuestionarios están contenidos en la carpeta Quiz-app en etc\quiz-app, o [En línea Aquí](https://ff-quizzes.netlify.app/). Están vinculados desde dentro de las lecciones; la aplicación de cuestionarios puede ejecutarse localmente o desplegarse en Azure; sigue las instrucciones en la carpeta `quiz-app`. Están siendo localizados gradualmente. -## Se solicita ayuda +## Se requiere ayuda -¿Tienes sugerencias o encontraste errores ortográficos o de código? Abre un issue o crea un pull request. +¿Tienes sugerencias o encontraste errores ortográficos o en el código? Abre un issue o crea un pull request. ## Agradecimientos especiales * **✍️ Autor principal:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Ilustradora de sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **🎨 Ilustradora de Sketchnotes:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Creadora de cuestionarios:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Colaboradores principales:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🙏 Contribuidores principales:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Otros currículos +## Otros planes de estudios -Nuestro equipo produce otros currículos. ¡Échales un vistazo! +¡Nuestro equipo produce otros planes de estudios! Echa un vistazo: ### LangChain @@ -171,7 +181,7 @@ Nuestro equipo produce otros currículos. ¡Échales un vistazo! --- -### Azure / Edge / MCP / Agents +### Azure / Edge / MCP / Agentes [![AZD para principiantes](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [![Edge AI para principiantes](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [![MCP para principiantes](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) @@ -179,44 +189,44 @@ Nuestro equipo produce otros currículos. ¡Échales un vistazo! --- -### Serie de IA Generativa -[![Generative AI para principiantes](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +### Serie de IA generativa +[![IA generativa para principiantes](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![IA generativa (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![IA generativa (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![IA generativa (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- ### Aprendizaje principal [![ML para principiantes](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Data Science para principiantes](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![AI para principiantes](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Ciencia de datos para principiantes](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![IA para principiantes](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) [![Ciberseguridad para principiantes](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Desarrollo Web para principiantes](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![Desarrollo web para principiantes](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) [![IoT para principiantes](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) [![Desarrollo XR para principiantes](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Serie Copilot -[![Copilot para programación asistida por IA](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot para programación en pareja con IA](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot para C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +[![Aventura Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## Obtener ayuda -Si te quedas atascado o tienes alguna pregunta sobre cómo construir aplicaciones de IA, únete a otros estudiantes y desarrolladores experimentados en las discusiones sobre MCP. Es una comunidad de apoyo donde las preguntas son bienvenidas y el conocimiento se comparte libremente. +Si te atascas o tienes alguna pregunta sobre cómo crear aplicaciones de IA. Únete a otros estudiantes y desarrolladores experimentados en discusiones sobre MCP. Es una comunidad de apoyo donde las preguntas son bienvenidas y el conocimiento se comparte libremente. -[![Discord de Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Si tienes comentarios sobre el producto o errores mientras construyes, visita: +Si tienes comentarios sobre el producto o errores durante la creación, visita: -[![Foro de Desarrolladores de Microsoft Foundry](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) +[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- **Descargo de responsabilidad**: -Este documento ha sido traducido utilizando el servicio de traducción por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Aunque nos esforzamos por la exactitud, tenga en cuenta que las traducciones automatizadas pueden contener errores o inexactitudes. El documento original en su idioma original debe considerarse la fuente autorizada. Para información crítica, se recomienda una traducción profesional realizada por traductores humanos. No nos hacemos responsables de cualquier malentendido o interpretación errónea derivada del uso de esta traducción. +Este documento ha sido traducido utilizando el servicio de traducción automática [Co-op Translator](https://github.com/Azure/co-op-translator). Aunque nos esforzamos por la precisión, tenga en cuenta que las traducciones automatizadas pueden contener errores o inexactitudes. El documento original en su idioma nativo debe considerarse la fuente autorizada. Para información crítica, se recomienda una traducción profesional realizada por humanos. No nos hacemos responsables de malentendidos o interpretaciones erróneas derivadas del uso de esta traducción. \ No newline at end of file diff --git a/translations/fa/README.md b/translations/fa/README.md index 2d7a6e70..214741e4 100644 --- a/translations/fa/README.md +++ b/translations/fa/README.md @@ -1,168 +1,179 @@ -[![مجوز GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![مشارکت‌کنندگان GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![مسائل GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![درخواست‌های pull GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![پذیرای PRها](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![مجوز گیت‌هاب](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![مشارکت‌کنندگان گیت‌هاب](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![مسائل گیت‌هاب](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![درخواست‌های کشش گیت‌هاب](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![خوش‌آمدگویی به PRها](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![دنبال‌کنندگان GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![فورک‌های GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![ستاره‌های GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) -[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) -[![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) +[![ناظران گیت‌هاب](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![شعبات گیت‌هاب](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![ستاره‌های گیت‌هاب](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![بایندر](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) +[![گیتّر](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) -[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![دیسکورد Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Artificial Intelligence for Beginners - A Curriculum +# هوش مصنوعی برای مبتدیان - یک برنامه درسی |![اسکچ‌نوت توسط @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.fa.png)| |:---:| | هوش مصنوعی برای مبتدیان - _اسکچ‌نوت توسط [@girlie_mac](https://twitter.com/girlie_mac)_ | -جهان را کاوش کنید در مورد **هوش مصنوعی** (AI) با برنامهٔ درسی 12 هفته‌ای ما که شامل 24 درس است! این برنامه شامل درس‌های کاربردی، آزمایش‌ها و لابراتوارها می‌باشد. برنامه برای مبتدیان مناسب است و ابزارهایی مانند TensorFlow و PyTorch را پوشش می‌دهد، و همچنین مباحث اخلاق در هوش مصنوعی را شامل می‌شود. +دنیای **هوش مصنوعی** (AI) را با برنامه درسی ۱۲ هفته‌ای و ۲۴ درس ما کاوش کنید! این برنامه شامل درس‌های عملی، آزمون‌ها و آزمایشگاه‌ها می‌شود. این برنامه برای مبتدیان مناسب است و ابزارهایی همچون TensorFlow و PyTorch، همچنین اخلاق در AI را پوشش می‌دهد. + ### 🌐 پشتیبانی چندزبانه -#### پشتیبانی شده از طریق GitHub Action (خودکار و همیشه به‌روز) +#### پشتیبانی شده از طریق اکشن گیت‌هاب (خودکار و همیشه به‌روز) -[عربی](../ar/README.md) | [بنگالی](../bn/README.md) | [بلغاری](../bg/README.md) | [بورمی (میانمار)](../my/README.md) | [چینی (ساده‌شده)](../zh/README.md) | [چینی (سنتی، هنگ‌کنگ)](../hk/README.md) | [چینی (سنتی، ماکائو)](../mo/README.md) | [چینی (سنتی، تایوان)](../tw/README.md) | [کروات](../hr/README.md) | [چکی](../cs/README.md) | [دانمارکی](../da/README.md) | [هلندی](../nl/README.md) | [استونیایی](../et/README.md) | [فنلاندی](../fi/README.md) | [فرانسوی](../fr/README.md) | [آلمانی](../de/README.md) | [یونانی](../el/README.md) | [عبری](../he/README.md) | [هندی](../hi/README.md) | [مجارستانی](../hu/README.md) | [اندونزیایی](../id/README.md) | [ایتالیایی](../it/README.md) | [ژاپنی](../ja/README.md) | [Kannada](../kn/README.md) | [کره‌ای](../ko/README.md) | [لیتوانیایی](../lt/README.md) | [مالایی](../ms/README.md) | [مالایالام](../ml/README.md) | [مراتی](../mr/README.md) | [نپالی](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [نروژی](../no/README.md) | [فارسی](./README.md) | [لهستانی](../pl/README.md) | [پرتغالی (برزیل)](../br/README.md) | [پرتغالی (پرتغال)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [رومانیایی](../ro/README.md) | [روسی](../ru/README.md) | [صربی (سیریلیک)](../sr/README.md) | [اسلواکی](../sk/README.md) | [اسلوونیایی](../sl/README.md) | [اسپانیایی](../es/README.md) | [سواحیلی](../sw/README.md) | [سوئدی](../sv/README.md) | [تگالوگ (فیلیپینی)](../tl/README.md) | [تامیلی](../ta/README.md) | [تلوگو](../te/README.md) | [تایلندی](../th/README.md) | [ترکی](../tr/README.md) | [اوکراینی](../uk/README.md) | [اردو](../ur/README.md) | [ویتنامی](../vi/README.md) +[عربی](../ar/README.md) | [بنگالی](../bn/README.md) | [بلغاری](../bg/README.md) | [برمه‌ای (میانمار)](../my/README.md) | [چینی (ساده شده)](../zh/README.md) | [چینی (سنتی، هنگ کنگ)](../hk/README.md) | [چینی (سنتی، ماکائو)](../mo/README.md) | [چینی (سنتی، تایوان)](../tw/README.md) | [کرواتی](../hr/README.md) | [چک](../cs/README.md) | [دانمارکی](../da/README.md) | [هلندی](../nl/README.md) | [اِستونی](../et/README.md) | [فنلاندی](../fi/README.md) | [فرانسوی](../fr/README.md) | [آلمانی](../de/README.md) | [یونانی](../el/README.md) | [عبری](../he/README.md) | [هندی](../hi/README.md) | [مجارستانی](../hu/README.md) | [اندونزیایی](../id/README.md) | [ایتالیایی](../it/README.md) | [ژاپنی](../ja/README.md) | [کانادا](../kn/README.md) | [کره‌ای](../ko/README.md) | [لیتوانیایی](../lt/README.md) | [مالایی](../ms/README.md) | [مالایالامی](../ml/README.md) | [مراتی](../mr/README.md) | [نپالی](../ne/README.md) | [پیدگین نیجریه](../pcm/README.md) | [نروژی](../no/README.md) | [فارسی](./README.md) | [لهستانی](../pl/README.md) | [پرتغالی (برزیل)](../br/README.md) | [پرتغالی (پرتغال)](../pt/README.md) | [پنجابی (گرموخی)](../pa/README.md) | [رومانیایی](../ro/README.md) | [روسی](../ru/README.md) | [صربی (سیریلیک)](../sr/README.md) | [اسلواک](../sk/README.md) | [اسلوونیایی](../sl/README.md) | [اسپانیایی](../es/README.md) | [سواحیلی](../sw/README.md) | [سوئدی](../sv/README.md) | [تاگالوگ (فیلیپینی)](../tl/README.md) | [تامیلی](../ta/README.md) | [تلگو](../te/README.md) | [تایلندی](../th/README.md) | [ترکی](../tr/README.md) | [اوکراینی](../uk/README.md) | [اردو](../ur/README.md) | [ویتنامی](../vi/README.md) + +> **ترجیح می‌دهید به صورت محلی کلون کنید؟** + +> این مخزن شامل ترجمه‌هایی به بیش از ۵۰ زبان است که اندازه دانلود را به طور قابل توجهی افزایش می‌دهد. برای کلون کردن بدون ترجمه‌ها، از sparse checkout استفاده کنید: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> این به شما همه چیز لازم برای تکمیل دوره را با دانلودی بسیار سریع‌تر می‌دهد. -**اگر مایل به افزودن زبان‌های ترجمهٔ بیشتری هستید، فهرست زبان‌های پشتیبانی شده را می‌توانید [اینجا](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ببینید** +**اگر مایلید زبان‌های ترجمه اضافی پشتیبانی شوند، زبان‌ها در این [لینک](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) فهرست شده‌اند** ## به جامعه بپیوندید -[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![دیسکورد Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## چه چیزی یاد خواهید گرفت +## آنچه یاد خواهید گرفت -**[نقشهٔ ذهنی دوره](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[نقشه ذهنی دوره](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -در این برنامهٔ درسی، شما یاد خواهید گرفت: +در این برنامه درسی، شما یاد خواهید گرفت: -* رویکردهای مختلف به هوش مصنوعی، از جمله رویکرد نمادی قدیمی و کلاسیک با **نمایش دانش** و استدلال ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **شبکه‌های عصبی** و **یادگیری عمیق** که در هستهٔ هوش مصنوعی مدرن قرار دارند. ما مفاهیم پشت این موضوعات مهم را با استفاده از کد در دو تا از محبوب‌ترین فریم‌ورک‌ها نشان خواهیم داد - [TensorFlow](http://Tensorflow.org) و [PyTorch](http://pytorch.org). -* **معماری‌های عصبی** برای کار با تصاویر و متن. ما مدل‌های اخیر را پوشش خواهیم داد اما ممکن است تا حدی از برترین‌های روز عقب باشیم. -* رویکردهای کمتر متداول در هوش مصنوعی، مانند **الگوریتم‌های ژنتیکی** و **سیستم‌های چندعامله**. +* رویکردهای مختلف به هوش مصنوعی، از جمله رویکرد نمادین "قدیمی" با **نمایش دانش** و استدلال ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **شبکه‌های عصبی** و **یادگیری عمیق** که در هسته هوش مصنوعی مدرن قرار دارند. مفاهیم پشت این موضوعات مهم را با استفاده از کد در دو چارچوب محبوب - [TensorFlow](http://Tensorflow.org) و [PyTorch](http://pytorch.org) نشان خواهیم داد. +* **معماری‌های عصبی** برای کار با تصاویر و متن. مدل‌های اخیر را پوشش خواهیم داد اما ممکن است در فناوری‌های به‌روز کمی ناقص باشیم. +* رویکردهای کمتر محبوب AI، مانند **الگوریتم‌های ژنتیکی** و **سیستم‌های چندعامله**. -مواردی که در این برنامهٔ درسی پوشش داده نمی‌شوند: +آنچه در این برنامه درسی پوشش داده نمی‌شود: -> [تمام منابع اضافی این دوره را در مجموعهٔ Microsoft Learn ما بیابید](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [تمام منابع اضافی برای این دوره را در مجموعه Microsoft Learn ما پیدا کنید](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* موارد کسب‌وکاری استفاده از **هوش مصنوعی در کسب‌وکار**. توصیه می‌شود مسیر یادگیری [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) در Microsoft Learn را دنبال کنید، یا [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) که با همکاری [INSEAD](https://www.insead.edu/) توسعه یافته است. -* **یادگیری ماشین کلاسیک**، که در برنامهٔ درسی [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) ما به‌خوبی توضیح داده شده است. -* برنامه‌های کاربردی عملی هوش مصنوعی که با استفاده از **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ساخته شده‌اند. برای این منظور، توصیه می‌کنیم با ماژول‌های Microsoft Learn برای [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)، [natural language processing](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)، **[Generative AI with Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** و دیگر موارد شروع کنید. -* چارچوب‌های خاص ابری برای ML، مانند [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)، [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)، یا [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). می‌توانید از مسیرهای یادگیری [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) و [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) استفاده کنید. -* **هوش مصنوعی محاوره‌ای** و **چت‌بات‌ها**. یک مسیر یادگیری جداگانه وجود دارد: [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum)، و شما همچنین می‌توانید برای جزئیات بیشتر به [این پست وبلاگ](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) مراجعه کنید. -* **ریاضیات عمیق** پشت یادگیری عمیق. برای این منظور، ما کتاب [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) نوشتهٔ Ian Goodfellow, Yoshua Bengio و Aaron Courville را توصیه می‌کنیم، که همچنین به‌صورت آنلاین در [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) در دسترس است. +* موارد کسب‌وکار استفاده از **AI در کسب‌وکار**. برای این منظور، مسیر یادگیری [مقدمه‌ای بر هوش مصنوعی برای کاربران کسب‌وکار](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) در Microsoft Learn یا [مدرسه کسب‌وکار AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) که با همکاری [INSEAD](https://www.insead.edu/) توسعه یافته است را در نظر بگیرید. +* **یادگیری ماشین کلاسیک** که به خوبی در [برنامه درسی یادگیری ماشین برای مبتدیان](http://github.com/Microsoft/ML-for-Beginners) توضیح داده شده است. +* برنامه‌های عملی AI ساخته شده با **[خدمات شناختی](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. برای این منظور، توصیه می‌کنیم با ماژول‌های Microsoft Learn برای [بینایی](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)، [پردازش زبان طبیعی](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)، **[هوش مولد با سرویس Azure OpenAI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** و دیگران شروع کنید. +* چارچوب‌های خاص ابری ML، مانند [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum)، [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum)، یا [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). مسیرهای یادگیری [ساخت و اجرای راه‌حل‌های یادگیری ماشین با Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) و [ساخت و اجرای راه‌حل‌های یادگیری ماشین با Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) را در نظر بگیرید. +* **هوش مصنوعی مکالمه‌ای** و **چت‌بات‌ها**. مسیر یادگیری جداگانه [ایجاد راه‌حل‌های هوش مصنوعی مکالمه‌ای](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) وجود دارد و می‌توانید برای جزئیات بیشتر به [این پست وبلاگی](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) نیز مراجعه کنید. +* ریاضیات عمیق پشت یادگیری عمیق. برای این منظور کتاب [یادگیری عمیق](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) نوشته ایان گودفلو، یوشوا بنگیو و آرون کورویل را توصیه می‌کنیم که به‌صورت آنلاین نیز در [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) موجود است. -برای یک معرفی ملایم به موضوعات _هوش مصنوعی در فضای ابری_ ممکن است مسیر یادگیری [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) را دنبال کنید. +برای مقدمه‌ای آرام بر مباحث _AI در ابر_ می‌توانید مسیر یادگیری [شروع با هوش مصنوعی در Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) را در نظر بگیرید. -# Content +# محتوا -| | لینک درس | PyTorch/Keras/TensorFlow | لاب | +| | لینک درس | PyTorch/Keras/TensorFlow | آزمایشگاه | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Course Setup](./lessons/0-course-setup/setup.md) | [Setup Your Development Environment](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Introduction to AI**](./lessons/1-Intro/README.md) | | | -| 01 | [Introduction and History of AI](./lessons/1-Intro/README.md) | - | - | -| II | **Symbolic AI** | -| 02 | [Knowledge Representation and Expert Systems](./lessons/2-Symbolic/README.md) | [Expert Systems](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Introduction to Neural Networks**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [پرسپترون](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [نوت‌بوک](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [آزمایش](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [پرسپترون چندلایه و ساخت فریم‌ورک خودمان](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [نوت‌بوک](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [آزمایش](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [مقدمه‌ای بر فریم‌ورک‌ها (PyTorch/TensorFlow) و بیش‌برازش](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [آزمایش](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**بینایی ماشین**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [کاوش بینایی ماشین در Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [مقدمه‌ای بر بینایی ماشین. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [نوت‌بوک](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [آزمایش](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [شبکه‌های عصبی کانولوشنی](./lessons/4-ComputerVision/07-ConvNets/README.md) & [معماری‌های CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [آزمایش](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [شبکه‌های از پیش‌آموزش‌دیده و یادگیری انتقالی](./lessons/4-ComputerVision/08-TransferLearning/README.md) و [ترفندهای آموزش](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [آزمایش](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [اتو‌انکودرها و VAEها](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [شبکه‌های مولد تقابلی و انتقال سبک هنری](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [تشخیص اشیاء](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [آزمایش](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [بخش‌بندی معنایی. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**پردازش زبان طبیعی**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [کاوش پردازش زبان طبیعی در Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [نمایش متن. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [درج‌نمایی‌های معنایی کلمات. Word2Vec و GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [مدلسازی زبان. آموزش درج‌نمایی‌های خودتان](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [آزمایش](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [شبکه‌های عصبی بازگشتی](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [شبکه‌های بازگشتی مولد](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [آزمایش](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [ترنسفورمرها. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [تشخیص موجودیت‌های نام‌دار](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [آزمایش](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [مدل‌های زبان بزرگ، برنامه‌نویسی پرامپت و وظایف چندنمونه‌ای](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 0 | [راه‌اندازی دوره](./lessons/0-course-setup/setup.md) | [راه‌اندازی محیط توسعه شما](./lessons/0-course-setup/how-to-run.md) | | +| I | [**مقدمه‌ای بر هوش مصنوعی**](./lessons/1-Intro/README.md) | | | +| 01 | [مقدمه و تاریخچه هوش مصنوعی](./lessons/1-Intro/README.md) | - | - | +| II | **هوش مصنوعی نمادین** | +| 02 | [نمایش دانش و سیستم‌های خبره](./lessons/2-Symbolic/README.md) | [سیستم‌های خبره](./lessons/2-Symbolic/Animals.ipynb) / [آنتولوژی](./lessons/2-Symbolic/FamilyOntology.ipynb) /[گراف مفهومی](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**مقدمه‌ای بر شبکه‌های عصبی**](./lessons/3-NeuralNetworks/README.md) ||| +| ۰۳ | [پرستروَن](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [دفترچه یادداشت](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [لاب](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| ۰۴ | [پرستروَن چندلایه و ساخت چارچوب خودمان](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [دفترچه یادداشت](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [لاب](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| ۰۵ | [مقدمه‌ای بر چارچوب‌ها (PyTorch/TensorFlow) و بیش‌برازش](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [پایتورچ](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [کراس](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [تنسورفلو](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [لاب](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**بینایی کامپیوتری**](./lessons/4-ComputerVision/README.md) | [پایتورچ](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [تنسورفلو](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [کشف بینایی کامپیوتری در مایکروسافت آژور](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| ۰۶ | [مقدمه‌ای بر بینایی کامپیوتری. اوپن‌سی‌وی](./lessons/4-ComputerVision/06-IntroCV/README.md) | [دفترچه یادداشت](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [لاب](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| ۰۷ | [شبکه‌های عصبی کانولوشنی](./lessons/4-ComputerVision/07-ConvNets/README.md) & [معماری‌های CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [پایتورچ](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[تنسورفلو](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [لاب](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| ۰۸ | [شبکه‌های پیش‌آموزش دیده و یادگیری انتقالی](./lessons/4-ComputerVision/08-TransferLearning/README.md) و [ترفندهای آموزش](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [پایتورچ](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [تنسورفلو](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [لاب](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| ۰۹ | [خودرمزگذارها و VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [پایتورچ](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [تنسورفلو](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| ۱۰ | [شبکه‌های مولد تخاصمی و انتقال سبک هنری](./lessons/4-ComputerVision/10-GANs/README.md) | [پایتورچ](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [تنسورفلو](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| ۱۱ | [تشخیص شیء](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [تنسورفلو](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [لاب](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| ۱۲ | [بخش‌بندی معنایی. یو-نت](./lessons/4-ComputerVision/12-Segmentation/README.md) | [پایتورچ](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [تنسورفلو](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | +| V | [**پردازش زبان طبیعی**](./lessons/5-NLP/README.md) | [پایتورچ](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[تنسورفلو](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [کشف پردازش زبان طبیعی در مایکروسافت آژور](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| ۱۳ | [نمایش متن. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [پایتورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [تنسورفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| ۱۴ | [تعبیه‌های معنایی کلمات. Word2Vec و GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [پایتورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [تنسورفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| ۱۵ | [مدل‌سازی زبان. آموزش تعبیه‌های خود](./lessons/5-NLP/15-LanguageModeling/README.md) | [پایتورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [تنسورفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [لاب](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| ۱۶ | [شبکه‌های عصبی مکرر](./lessons/5-NLP/16-RNN/README.md) | [پایتورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [تنسورفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| ۱۷ | [شبکه‌های تولیدی مکرر](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [پایتورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [تنسورفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [لاب](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| ۱۸ | [تبدیل‌کننده‌ها. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [پایتورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[تنسورفلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | +| ۱۹ | [شناسایی نهاد نام‌دار](./lessons/5-NLP/19-NER/README.md) | [تنسورفلو](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [لاب](./lessons/5-NLP/19-NER/lab/README.md) | +| ۲۰ | [مدل‌های زبانی بزرگ، برنامه‌نویسی پِرامپت و وظایف چندنمونه‌ای](./lessons/5-NLP/20-LangModels/README.md) | [پایتورچ](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **سایر تکنیک‌های هوش مصنوعی** || | -| 21 | [الگوریتم‌های ژنتیک](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [نوت‌بوک](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [یادگیری تقویتی عمیق](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [آزمایش](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [سیستم‌های چندعامله](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| ۲۱ | [الگوریتم‌های ژنتیکی](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [دفترچه یادداشت](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| ۲۲ | [یادگیری تقویتی عمیق](./lessons/6-Other/22-DeepRL/README.md) | [پایتورچ](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[تنسورفلو](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [لاب](./lessons/6-Other/22-DeepRL/lab/README.md) | +| ۲۳ | [سامانه‌های چندعامل](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **اخلاق هوش مصنوعی** | | | -| 24 | [اخلاق هوش مصنوعی و هوش مصنوعی مسئول](./lessons/7-Ethics/README.md) | [Microsoft Learn: اصول هوش مصنوعی مسئول](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| ۲۴ | [اخلاق هوش مصنوعی و هوش مصنوعی مسئولانه](./lessons/7-Ethics/README.md) | [مایکروسافت لرن: اصول هوش مصنوعی مسئولانه](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **موارد اضافی** | | | -| 25 | [شبکه‌های چندمودالی، CLIP و VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [نوت‌بوک](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| ۲۵ | [شبکه‌های چندرسانه‌ای، CLIP و VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [دفترچه یادداشت](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## هر درس شامل -* مطالب پیش‌مطالعه -* نوت‌بوک‌های اجرایی Jupyter که اغلب به یک فریم‌ورک مشخص مربوط هستند (**PyTorch** یا **TensorFlow**). نوت‌بوک اجرایی همچنین شامل حجم زیادی از مطالب نظری است، بنابراین برای درک موضوع باید حداقل یک نسخه از نوت‌بوک را مرور کنید (یا PyTorch یا TensorFlow). -* **آزمایش‌ها** برای برخی موضوعات در دسترس هستند، که به شما فرصتی می‌دهند تا مطالب آموخته‌شده را در یک مسئلهٔ خاص به‌کار ببرید. -* برخی بخش‌ها شامل لینک به ماژول‌های [**Microsoft Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) هستند که موضوعات مرتبط را پوشش می‌دهند. +* مطالب پیش‌خوانی +* دفترچه‌های یادداشت اجرایی Jupyter که معمولاً خاص چارچوب هستند (**PyTorch** یا **TensorFlow**). دفترچه‌ی اجرایی همچنین شامل مطالب نظری زیادی است، بنابراین برای درک موضوع، باید حداقل یکی از نسخه‌های دفترچه (پایتورچ یا تنسورفلو) را مطالعه کنید. +* **لاب‌ها** برای برخی موضوعات موجود است که فرصتی برای شما فراهم می‌آورد تا مطالب یادگرفته شده را روی مسئله‌ای خاص آزمایش کنید. +* برخی بخش‌ها حاوی لینک به ماژول‌های [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) هستند که موضوعات مرتبط را پوشش می‌دهند. -## شروع +## شروع کنید -### 🎯 تازه‌وارد به هوش مصنوعی؟ از اینجا شروع کنید! +### 🎯 تازه‌وارد به هوش مصنوعی؟ همینجا شروع کنید! -اگر کاملاً تازه‌کار در هوش مصنوعی هستید و مثال‌های سریع و عملی می‌خواهید، به [**مثال‌های مناسب برای مبتدیان**](./examples/README.md) نگاه کنید! این‌ها شامل: +اگر کاملاً تازه‌کار در هوش مصنوعی هستید و می‌خواهید با مثال‌های سریع و عملی شروع کنید، به [**مثال‌های مناسب برای مبتدیان**](./examples/README.md) ما نگاهی بیندازید! این‌ها شامل: -- 🌟 **سلام دنیای هوش مصنوعی** - اولین برنامهٔ هوش مصنوعی شما (شناسایی الگو) -- 🧠 **شبکه عصبی ساده** - ساخت یک شبکه عصبی از پایه -- 🖼️ **طبقه‌بند تصاویر** - طبقه‌بندی تصاویر با توضیحات دقیق -- 💬 **احساس متن** - تحلیل متن مثبت/منفی +- 🌟 **سلام دنیای هوش مصنوعی** - اولین برنامه هوش مصنوعی شما (شناسایی الگو) +- 🧠 **شبکه عصبی ساده** - ساخت یک شبکه عصبی از ابتدا +- 🖼️ **دسته‌بند تصویر** - دسته‌بندی تصاویر با توضیحات مفصل +- 💬 **احساس متن** - تجزیه و تحلیل متن مثبت/منفی -این مثال‌ها طراحی شده‌اند تا به شما کمک کنند مفاهیم هوش مصنوعی را قبل از ورود به برنامه درسی کامل درک کنید. +این مثال‌ها برای کمک به درک مفاهیم هوش مصنوعی قبل از ورود به دوره کامل طراحی شده‌اند. -### 📚 راه‌اندازی کامل دوره +### 📚 راه‌اندازی دوره کامل -- ما یک [درس راه‌اندازی](./lessons/0-course-setup/setup.md) ایجاد کرده‌ایم تا به شما در تنظیم محیط توسعه کمک کند. - برای مدرسین، ما همچنین یک [درس راه‌اندازی برنامه درسی](./lessons/0-course-setup/for-teachers.md) برای شما ایجاد کرده‌ایم! -- نحوه [اجرای کد در VSCode یا Codepace](./lessons/0-course-setup/how-to-run.md) +- ما یک [درس راه‌اندازی](./lessons/0-course-setup/setup.md) ایجاد کرده‌ایم تا به شما در راه‌اندازی محیط توسعه کمک کند. - برای مربیان نیز یک [درس راه‌اندازی برنامه درسی](./lessons/0-course-setup/for-teachers.md) تهیه کرده‌ایم! +- نحوه [اجرای کد در VSCode یا یک Codepace](./lessons/0-course-setup/how-to-run.md) این مراحل را دنبال کنید: -Fork the Repository: روی دکمهٔ "Fork" در گوشهٔ بالا-راست این صفحه کلیک کنید. +مخزن را فورک کنید: روی دکمه «Fork» در گوشه بالا سمت راست این صفحه کلیک کنید. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +مخزن را کلون کنید: `git clone https://github.com/microsoft/AI-For-Beginners.git` -فراموش نکنید به این مخزن ستاره (🌟) بدهید تا بعداً پیدا کردنش آسان‌تر شود. +فراموش نکنید که ستاره (🌟) به این مخزن بدهید تا بعداً راحت‌تر آن را پیدا کنید. -## آشنایی با سایر یادگیرندگان +## ملاقات با یادگیرندگان دیگر -برای ملاقات و شبکه‌سازی با سایر یادگیرندگانی که این دوره را می‌گذرانند و دریافت پشتیبانی، به [سرور رسمی دیسکورد AI ما](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) بپیوندید. +برای ملاقات و شبکه‌سازی با دیگر یادگیرندگانی که این دوره را می‌گذرانند و دریافت پشتیبانی، به [سرور رسمی دیسکورد هوش مصنوعی ما](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) بپیوندید. -اگر بازخورد محصول یا سوالی هنگام ساخت داشتید، به [انجمن توسعه‌دهندگان Azure AI Foundry](https://aka.ms/foundry/forum) مراجعه کنید +اگر بازخورد محصول یا سوال دارید در حین ساخت به [انجمن توسعه‌دهندگان Azure AI Foundry](https://aka.ms/foundry/forum) مراجعه کنید. -## آزمون‌ها +## آزمون‌ها -> **یک یادداشت دربارهٔ آزمون‌ها**: تمام آزمون‌ها در پوشهٔ Quiz-app در etc\quiz-app، یا [آنلاین اینجا](https://ff-quizzes.netlify.app/) قرار دارند. آن‌ها از داخل درس‌ها پیوند داده شده‌اند؛ برنامهٔ آزمون می‌تواند به‌صورت محلی اجرا شود یا به Azure مستقر شود؛ دستورالعمل‌ها را در پوشهٔ `quiz-app` دنبال کنید. آن‌ها به‌تدریج بومی‌سازی می‌شوند. +> **نکته‌ای درباره آزمون‌ها**: تمام آزمون‌ها در پوشه Quiz-app در etc\quiz-app قرار دارند، یا به صورت [آنلاین اینجا](https://ff-quizzes.netlify.app/) موجود هستند. این‌ها از درون درس‌ها لینک شده‌اند. برنامه آزمون می‌تواند به صورت محلی اجرا شود یا در Azure مستقر شود؛ دستورالعمل‌های پوشه `quiz-app` را دنبال کنید. این آزمون‌ها به تدریج محلی‌سازی می‌شوند. ## درخواست کمک -آیا پیشنهاداتی دارید یا خطاهای املایی یا کدنویسی پیدا کرده‌اید؟ یک issue باز کنید یا یک pull request ایجاد کنید. +آیا پیشنهادی دارید یا خطاهای املایی یا برنامه‌ای پیدا کرده‌اید؟ یک issue مطرح کنید یا pull request ایجاد کنید. ## تشکر ویژه -* **✍️ نویسندهٔ اصلی:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 ویراستار:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 طراح اسکچ‌نوت:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ سازندهٔ آزمون:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 مشارکت‌کنندگان اصلی:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✍️ نویسنده اصلی:** [دیمیتری سوشنیکوف](http://soshnikov.com)، دکترا +* **🔥 ویراستار:** [جن لوپر](https://twitter.com/jenlooper)، دکترا +* **🎨 تصویرگر اسکچ‌نوت:** [تومومی ایمورا](https://twitter.com/girlie_mac) +* **✅ سازنده آزمون:** [لاتیفا بلو](https://github.com/CinnamonXI)، [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 مشارکت‌کنندگان اصلی:** [اِوگنی پیشچیک](https://github.com/Pe4enIks) -## برنامه‌های درسی دیگر +## دوره‌های آموزشی دیگر -تیم ما برنامه‌های درسی دیگری نیز تولید می‌کند! بررسی کنید: +تیم ما دوره‌های دیگری نیز تولید می‌کند! بررسی کنید: ### LangChain @@ -179,44 +190,44 @@ Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.g --- -### Generative AI Series -[![هوش مولد برای مبتدیان](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![هوش مولد (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![هوش مولد (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![هوش مولد (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +### سری هوش مصنوعی مولد +[![Generative AI برای مبتدیان](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- -### یادگیری پایه -[![یادگیری ماشین برای مبتدیان](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +### آموزش‌های پایه‌ای +[![ML برای مبتدیان](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) [![علم داده برای مبتدیان](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) [![هوش مصنوعی برای مبتدیان](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) [![امنیت سایبری برای مبتدیان](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) [![توسعه وب برای مبتدیان](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![اینترنت اشیاء برای مبتدیان](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![اینترنت اشیا برای مبتدیان](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) [![توسعه XR برای مبتدیان](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Copilot Series -[![Copilot برای برنامه‌نویسی جفتی با هوش مصنوعی](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +### سری Copilot +[![Copilot برای برنامه‌نویسی جفتی AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot برای C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![ماجراجویی Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## دریافت کمک -اگر گیر کردید یا در مورد ساخت برنامه‌های هوش مصنوعی سوالی داشتید، به بحث‌ها با سایر یادگیرندگان و توسعه‌دهندگان باتجربه در مورد MCP بپیوندید. این یک جامعهٔ حمایتگر است که سوالات در آن خوش‌آمد گفته می‌شود و دانش آزادانه به اشتراک گذاشته می‌شود. +اگر گیر کردید یا سوالی درباره توسعه برنامه‌های هوش مصنوعی دارید، به همراه سایر یادگیرندگان و توسعه‌دهندگان باتجربه در بحث‌های MCP بپیوندید. این یک جامعه حمایتی است که سوالات استقبال می‌شود و دانش به صورت رایگان به اشتراک گذاشته می‌شود. -[![دیسکورد Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -اگر هنگام ساخت بازخورد محصول یا خطاهایی داشتید مراجعه کنید: +اگر بازخورد محصول یا خطاهایی هنگام ساخت داشتید به: -[![انجمن توسعه‌دهندگان Microsoft Foundry](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) +[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) مراجعه کنید. --- -سلب مسئولیت: -این سند با استفاده از سرویس ترجمهٔ خودکار مبتنی بر هوش مصنوعی [Co-op Translator](https://github.com/Azure/co-op-translator) ترجمه شده است. اگرچه ما در تلاش برای دقت هستیم، لطفاً توجه داشته باشید که ترجمه‌های خودکار ممکن است شامل خطاها یا نادرستی‌هایی باشند. سند اصلی به زبان اصلی آن باید به عنوان منبع معتبر در نظر گرفته شود. برای اطلاعات حیاتی، توصیه می‌شود از ترجمهٔ حرفه‌ای انسانی استفاده شود. ما در قبال هرگونه سو‌تفاهم یا تفسیر نادرست ناشی از استفاده از این ترجمه مسئولیتی نداریم. +**سلب مسئولیت**: +این سند با استفاده از سرویس ترجمه هوش مصنوعی [Co-op Translator](https://github.com/Azure/co-op-translator) ترجمه شده است. در حالی که ما تلاش می‌کنیم دقت را حفظ کنیم، لطفاً به این نکته توجه داشته باشید که ترجمه‌های خودکار ممکن است حاوی خطا یا نادرستی باشند. سند اصلی به زبان بومی خود باید به عنوان منبع معتبر در نظر گرفته شود. برای اطلاعات حیاتی، استفاده از ترجمه حرفه‌ای انسانی توصیه می‌شود. ما در قبال هرگونه سوءتفاهم یا تفسیر نادرست ناشی از استفاده از این ترجمه مسئولیتی نداریم. \ No newline at end of file diff --git a/translations/fr/README.md b/translations/fr/README.md index 8d6a8936..b8a094fe 100644 --- a/translations/fr/README.md +++ b/translations/fr/README.md @@ -1,223 +1,232 @@ -[![Licence GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![Contributeurs GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![Problèmes GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![Pull requests GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs Bienvenus](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![Observateurs GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![Forks GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![Étoiles GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) -[![Discord Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Intelligence artificielle pour débutants - Un cursus +# Intelligence Artificielle pour Débutants - Un Programme |![Sketchnote par @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.fr.png)| |:---:| -| IA pour débutants - _Sketchnote par [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _Sketchnote par [@girlie_mac](https://twitter.com/girlie_mac)_ | -Explorez le monde de l'**Intelligence Artificielle** (IA) avec notre cursus de 12 semaines et 24 leçons ! Il comprend des leçons pratiques, des quiz et des laboratoires. Le cursus est adapté aux débutants et couvre des outils comme TensorFlow et PyTorch, ainsi que l'éthique en IA +Explorez le monde de **l'Intelligence Artificielle** (IA) avec notre programme de 12 semaines et 24 leçons ! Il comprend des leçons pratiques, des quiz et des laboratoires. Le programme est adapté aux débutants et couvre des outils comme TensorFlow et PyTorch, ainsi que l'éthique en IA. +### 🌐 Support Multilingue -### 🌐 Support multilingue - -#### Pris en charge via GitHub Action (Automatisé et toujours à jour) +#### Pris en charge via GitHub Action (Automatisé & Toujours à jour) -[Arabe](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgare](../bg/README.md) | [Birman (Myanmar)](../my/README.md) | [Chinois (Simplifié)](../zh/README.md) | [Chinois (Traditionnel, Hong Kong)](../hk/README.md) | [Chinois (Traditionnel, Macao)](../mo/README.md) | [Chinois (Traditionnel, Taïwan)](../tw/README.md) | [Croate](../hr/README.md) | [Tchèque](../cs/README.md) | [Danois](../da/README.md) | [Néerlandais](../nl/README.md) | [Estonien](../et/README.md) | [Finnois](../fi/README.md) | [Français](./README.md) | [Allemand](../de/README.md) | [Grec](../el/README.md) | [Hébreu](../he/README.md) | [Hindi](../hi/README.md) | [Hongrois](../hu/README.md) | [Indonésien](../id/README.md) | [Italien](../it/README.md) | [Japonais](../ja/README.md) | [Kannada](../kn/README.md) | [Coréen](../ko/README.md) | [Lituanien](../lt/README.md) | [Malais](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Népalais](../ne/README.md) | [Pidgin nigérian](../pcm/README.md) | [Norvégien](../no/README.md) | [Persan (Farsi)](../fa/README.md) | [Polonais](../pl/README.md) | [Portugais (Brésil)](../br/README.md) | [Portugais (Portugal)](../pt/README.md) | [Pendjabi (Gurmukhi)](../pa/README.md) | [Roumain](../ro/README.md) | [Russe](../ru/README.md) | [Serbe (cyrillique)](../sr/README.md) | [Slovaque](../sk/README.md) | [Slovène](../sl/README.md) | [Espagnol](../es/README.md) | [Swahili](../sw/README.md) | [Suédois](../sv/README.md) | [Tagalog (philippin)](../tl/README.md) | [Tamoul](../ta/README.md) | [Télougou](../te/README.md) | [Thaï](../th/README.md) | [Turc](../tr/README.md) | [Ukrainien](../uk/README.md) | [Ourdou](../ur/README.md) | [Vietnamien](../vi/README.md) +[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](./README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) + +> **Préférez cloner localement ?** + +> Ce dépôt inclut plus de 50 traductions de langues ce qui augmente considérablement la taille du téléchargement. Pour cloner sans les traductions, utilisez le sparse checkout : +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> Cela vous donne tout ce dont vous avez besoin pour suivre le cours avec un téléchargement beaucoup plus rapide. -**Si vous souhaitez ajouter des traductions supplémentaires, les langues prises en charge sont listées [ici](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Si vous souhaitez d'autres langues de traduction, elles sont listées [ici](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## Rejoindre la communauté -[![Discord Microsoft Foundry](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +## Rejoignez la Communauté +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Ce que vous apprendrez **[Carte mentale du cours](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -Dans ce cursus, vous apprendrez : +Dans ce programme, vous apprendrez : -* Différentes approches de l'intelligence artificielle, y compris l'ancienne approche symbolique avec **Représentation des connaissances** et raisonnement ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Réseaux de neurones** et **Apprentissage profond**, qui sont au cœur de l'IA moderne. Nous illustrerons les concepts derrière ces sujets importants en utilisant du code dans deux des frameworks les plus populaires - [TensorFlow](http://Tensorflow.org) et [PyTorch](http://pytorch.org). -* **Architectures neuronales** pour travailler avec des images et du texte. Nous couvrirons des modèles récents mais nous pourrions être un peu à la traîne par rapport à l'état de l'art. -* Des approches d'IA moins populaires, telles que les **algorithmes génétiques** et les **systèmes multi-agents**. +* Différentes approches de l'Intelligence Artificielle, y compris l'approche symbolique "classique" avec la **Représentation des Connaissances** et le raisonnement ([GOFAI](https://fr.wikipedia.org/wiki/Intelligence_artificielle_symbolique)). +* **Les Réseaux de Neurones** et **l’Apprentissage Profond**, qui constituent le cœur de l’IA moderne. Nous illustrerons les concepts derrière ces sujets importants à l’aide de code dans deux des frameworks les plus populaires - [TensorFlow](http://Tensorflow.org) et [PyTorch](http://pytorch.org). +* **Architectures Neuronales** pour travailler avec les images et le texte. Nous couvrirons des modèles récents mais qui peuvent être un peu éloignés de l’état de l’art. +* Des approches moins populaires de l’IA, telles que les **Algorithmes Génétiques** et les **Systèmes Multi-Agents**. -Ce que nous ne couvrirons pas dans ce cursus : +Ce que nous ne couvrirons pas dans ce programme : > [Trouvez toutes les ressources supplémentaires pour ce cours dans notre collection Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Cas d'utilisation de l'**IA en entreprise**. Envisagez de suivre le parcours d'apprentissage [Introduction à l'IA pour les utilisateurs professionnels](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) sur Microsoft Learn, ou [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), développé en coopération avec [INSEAD](https://www.insead.edu/). -* **Apprentissage automatique classique**, qui est bien décrit dans notre [curriculum Machine Learning pour débutants](http://github.com/Microsoft/ML-for-Beginners). -* Applications IA pratiques construites avec **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Pour cela, nous recommandons de commencer par les modules Microsoft Learn pour la [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), le [traitement du langage naturel](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA générative avec Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** et d'autres. -* Des frameworks cloud ML spécifiques, tels que [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ou [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Envisagez d'utiliser les parcours d'apprentissage [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) et [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **IA conversationnelle** et **chatbots**. Il existe un parcours d'apprentissage distinct [Créer des solutions d'IA conversationnelle](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), et vous pouvez également consulter [cet article de blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) pour plus de détails. -* Les **mathématiques approfondies** derrière l'apprentissage profond. Pour cela, nous recommandons [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) par Ian Goodfellow, Yoshua Bengio et Aaron Courville, qui est également disponible en ligne à [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Les cas d’usage de **l’IA en entreprise**. Envisagez de suivre le parcours d’apprentissage [Introduction à l’IA pour les utilisateurs métier](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) sur Microsoft Learn, ou l’[École d’Affaires IA](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), développée en coopération avec [INSEAD](https://www.insead.edu/). +* **L’Apprentissage Automatique Classique**, décrit en détail dans notre [Programme pour Débutants en Machine Learning](http://github.com/Microsoft/ML-for-Beginners). +* Les applications pratiques d’IA basées sur **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Pour cela, nous recommandons de commencer avec les modules Microsoft Learn sur [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [traitement du langage naturel](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[IA Générative avec Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** et d’autres. +* Les **Frameworks Cloud ML** spécifiques, tels que [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ou [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Envisagez d’utiliser les parcours d’apprentissage [Construire et exploiter des solutions machine learning avec Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) et [Construire et exploiter des solutions machine learning avec Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **IA Conversationnelle** et **Chat Bots**. Il existe un parcours d’apprentissage séparé [Créer des solutions d’IA conversationnelle](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), et vous pouvez aussi consulter [ce billet de blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) pour plus de détails. +* Les **Mathématiques Approfondies** derrière l’apprentissage profond. Pour cela, nous recommandons [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) de Ian Goodfellow, Yoshua Bengio et Aaron Courville, également disponible en ligne sur [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Pour une introduction en douceur aux sujets _IA dans le cloud_, vous pouvez envisager de suivre le parcours d'apprentissage [Commencer avec l'intelligence artificielle sur Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +Pour une introduction douce aux sujets liés à _l’IA dans le Cloud_, vous pouvez envisager de suivre le parcours d’apprentissage [Démarrer avec l'intelligence artificielle sur Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Contenu -| | Lien de la leçon | PyTorch/Keras/TensorFlow | Lab | +| | Lien de la Leçon | PyTorch/Keras/TensorFlow | Laboratoire | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 0 | [Configuration du cours](./lessons/0-course-setup/setup.md) | [Configurer votre environnement de développement](./lessons/0-course-setup/how-to-run.md) | | -| I | [**Introduction à l'IA**](./lessons/1-Intro/README.md) | | | -| 01 | [Introduction et histoire de l'IA](./lessons/1-Intro/README.md) | - | - | -| II | **IA symbolique** | -| 02 | [Représentation des connaissances et systèmes experts](./lessons/2-Symbolic/README.md) | [Systèmes experts](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graphe de concepts](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Introduction aux réseaux de neurones**](./lessons/3-NeuralNetworks/README.md) ||| +| I | [**Introduction à l’IA**](./lessons/1-Intro/README.md) | | | +| 01 | [Introduction et Histoire de l’IA](./lessons/1-Intro/README.md) | - | - | +| II | **IA Symbolique** | +| 02 | [Représentation des Connaissances et Systèmes Experts](./lessons/2-Symbolic/README.md) | [Systèmes Experts](./lessons/2-Symbolic/Animals.ipynb) / [Ontologie](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graphe Concepts](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**Introduction aux Réseaux de Neurones**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Perceptron multicouche et création de notre propre framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Introduction aux frameworks (PyTorch/TensorFlow) et au surapprentissage](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| 04 | [Perceptron Multicouche et Création de notre propre Framework](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Introduction aux Frameworks (PyTorch/TensorFlow) et Surapprentissage](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Vision par ordinateur**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Explorer la vision par ordinateur sur Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | | 06 | [Introduction à la vision par ordinateur. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Réseaux de neurones convolutionnels](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architectures de CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Réseaux pré-entraînés et apprentissage par transfert](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Astuces d'entraînement](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [Autoencodeurs et VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 07 | [Réseaux de neurones convolutifs](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architectures CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Réseaux pré-entraînés et apprentissage par transfert](./lessons/4-ComputerVision/08-TransferLearning/README.md) et [Astuces d'entraînement](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Autoencodeurs et VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | | 10 | [Réseaux antagonistes génératifs et transfert de style artistique](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Détection d'objets](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Segmentation sémantique. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | | V | [**Traitement du langage naturel**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Explorer le traitement du langage naturel sur Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Représentation du texte. BoW/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | -| 14 | [Vecteurs sémantiques de mots. Word2Vec et GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Modélisation du langage. Entraîner vos propres embeddings](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 13 | [Représentation du texte. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | +| 14 | [Embeddings sémantiques. Word2Vec et GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [Modélisation du langage. Entraînement de vos propres embeddings](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Réseaux de neurones récurrents](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | | 17 | [Réseaux récurrents génératifs](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | | 19 | [Reconnaissance d'entités nommées](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Grands modèles de langage, programmation par prompt et tâches en few-shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | [**Autres techniques d'IA**] || | +| 20 | [Grands modèles de langue, programmation par prompt et tâches en few-shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Autres techniques d'IA** || | | 21 | [Algorithmes génétiques](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Apprentissage par renforcement profond](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Systèmes multi-agents](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | [**Éthique de l'IA**] | | | +| VII | **Éthique de l'IA** | | | | 24 | [Éthique de l'IA et IA responsable](./lessons/7-Ethics/README.md) | [Microsoft Learn : Principes de l'IA responsable](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | [**Suppléments**] | | | +| IX | **Extras** | | | | 25 | [Réseaux multimodaux, CLIP et VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Chaque leçon contient -* Matériel de pré-lecture -* Carnets Jupyter exécutables, souvent spécifiques au framework (**PyTorch** ou **TensorFlow**). Le carnet exécutable contient également beaucoup de matériel théorique, donc pour comprendre le sujet vous devez parcourir au moins une version du carnet (soit PyTorch soit TensorFlow). -* **Labs** disponibles pour certains sujets, qui vous donnent l'opportunité d'essayer d'appliquer le matériel que vous avez appris à un problème spécifique. -* Certaines sections contiennent des liens vers des modules [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) qui couvrent des sujets connexes. +* Du matériel à lire avant +* Des notebooks Jupyter exécutables, souvent spécifiques au framework (**PyTorch** ou **TensorFlow**). Le notebook exécutable contient également beaucoup de théorie, donc pour comprendre le sujet il faut parcourir au moins une version du notebook (soit PyTorch soit TensorFlow). +* Des **labs** disponibles pour certains sujets, qui vous donnent l'opportunité de mettre en pratique les connaissances acquises sur un problème spécifique. +* Certaines sections contiennent des liens vers des modules [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) couvrant des sujets connexes. ## Pour commencer ### 🎯 Nouveau en IA ? Commencez ici ! -Si vous débutez complètement en IA et voulez des exemples pratiques et rapides, consultez nos [**Exemples pour débutants**](./examples/README.md) ! Ceux-ci incluent : +Si vous débutez complètement en IA et souhaitez des exemples rapides et pratiques, consultez nos [**Exemples adaptés aux débutants**](./examples/README.md) ! Ils incluent : -- 🌟 **Hello AI World** - Votre premier programme d'IA (reconnaissance de motifs) -- 🧠 **Simple Neural Network** - Construisez un réseau de neurones à partir de zéro -- 🖼️ **Image Classifier** - Classifier des images avec des commentaires détaillés -- 💬 **Analyse du sentiment du texte** - Analyser si un texte est positif/négatif +- 🌟 **Bonjour IA Monde** - Votre premier programme IA (reconnaissance de motifs) +- 🧠 **Réseau de neurones simple** - Construisez un réseau de neurones à partir de zéro +- 🖼️ **Classificateur d'images** - Classifiez des images avec des commentaires détaillés +- 💬 **Sentiment du Texte** - Analyse du texte positif/négatif -Ces exemples sont conçus pour vous aider à comprendre les concepts d'IA avant de vous lancer dans le cursus complet. +Ces exemples sont conçus pour vous aider à comprendre les concepts d'IA avant de plonger dans le programme complet. -### 📚 Configuration complète du cursus +### 📚 Configuration du Programme Complet -- Nous avons créé une [leçon d'installation](./lessons/0-course-setup/setup.md) pour vous aider à configurer votre environnement de développement. - Pour les enseignants, nous avons également créé une [leçon de configuration des cursus](./lessons/0-course-setup/for-teachers.md) pour vous ! -- Comment [exécuter le code dans VSCode ou Codepace](./lessons/0-course-setup/how-to-run.md) +- Nous avons créé une [leçon de configuration](./lessons/0-course-setup/setup.md) pour vous aider à configurer votre environnement de développement. - Pour les éducateurs, nous avons également créé une [leçon de configuration des programmes](./lessons/0-course-setup/for-teachers.md) pour vous ! +- Comment [Exécuter le code dans VSCode ou Codepace](./lessons/0-course-setup/how-to-run.md) Suivez ces étapes : -Fork the Repository: Cliquez sur le bouton "Fork" en haut à droite de cette page. +Forkez le dépôt : Cliquez sur le bouton "Fork" en haut à droite de cette page. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Clonez le dépôt : `git clone https://github.com/microsoft/AI-For-Beginners.git` -N'oubliez pas d'étoiler (🌟) ce dépôt pour le retrouver plus facilement plus tard. +N'oubliez pas de mettre une étoile (🌟) sur ce dépôt pour le retrouver plus facilement plus tard. ## Rencontrez d'autres apprenants -Rejoignez notre [serveur Discord officiel sur l'IA](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) pour rencontrer et réseauter avec d'autres apprenants suivant ce cours et obtenir du soutien. +Rejoignez notre [serveur Discord officiel AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) pour rencontrer et réseauter avec d'autres apprenants suivant ce cours et obtenir du support. -Si vous avez des retours sur le produit ou des questions pendant le développement, visitez notre [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Si vous avez des retours sur le produit ou des questions pendant la création, visitez notre [Forum des développeurs Azure AI Foundry](https://aka.ms/foundry/forum) -## Quiz +## Quiz -> **Une note concernant les quiz** : Tous les quiz se trouvent dans le dossier Quiz-app dans etc\quiz-app, ou [en ligne ici](https://ff-quizzes.netlify.app/) Ils sont liés depuis les leçons ; l'application de quiz peut être exécutée localement ou déployée sur Azure ; suivez les instructions dans le dossier `quiz-app`. Ils sont progressivement en cours de localisation. +> **Une note sur les quiz** : Tous les quiz se trouvent dans le dossier Quiz-app dans etc\quiz-app, ou [En ligne Ici](https://ff-quizzes.netlify.app/) Ils sont liés depuis les leçons, l'application quiz peut être exécutée localement ou déployée sur Azure ; suivez les instructions dans le dossier `quiz-app`. Ils sont progressivement localisés. -## Besoin d'aide +## Aide Requise -Avez-vous des suggestions ou avez-vous trouvé des fautes d'orthographe ou des erreurs de code ? Ouvrez une issue ou créez une pull request. +Avez-vous des suggestions ou avez-vous trouvé des fautes d'orthographe ou des erreurs de code ? Ouvrez un problème ou créez une demande de tirage. -## Remerciements spéciaux +## Remerciements Spéciaux -* **✍️ Auteur principal :** [Dmitry Soshnikov](http://soshnikov.com), PhD +* **✍️ Auteur Principal :** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Éditeur :** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Illustrateur des sketchnotes :** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Créateur de quiz :** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Contributeurs principaux :** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🎨 Illustratrice Sketchnote :** [Tomomi Imura](https://twitter.com/girlie_mac) +* **✅ Créatrice de Quiz :** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Contributeurs Principaux :** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Autres cursus +## Autres Programmes -Notre équipe produit d'autres cursus ! Découvrez : +Notre équipe produit d'autres programmes ! Découvrez : ### LangChain -[![LangChain4j pour débutants](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js pour débutants](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- ### Azure / Edge / MCP / Agents -[![AZD pour débutants](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI pour débutants](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP pour débutants](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Agents IA pour débutants](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Série IA générative -[![IA générative pour débutants](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![IA générative (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![IA générative (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![IA générative (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +### Série IA Générative +[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- -### Apprentissage de base -[![ML pour débutants](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Science des données pour débutants](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![IA pour débutants](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![Cybersécurité pour débutants](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Développement Web pour débutants](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![IoT pour débutants](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![Développement XR pour débutants](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +### Apprentissage Fondamental +[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- ### Série Copilot -[![Copilot pour programmation assistée par IA](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot pour C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) [![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) -## Obtenir de l'aide +## Obtenir de l'Aide -Si vous êtes bloqué ou avez des questions sur la création d'applications d'IA, rejoignez d'autres apprenants et des développeurs expérimentés dans les discussions autour de MCP. C'est une communauté bienveillante où les questions sont les bienvenues et où le savoir est partagé librement. +Si vous êtes bloqué ou avez des questions sur la création d'applications IA. Rejoignez d'autres apprenants et développeurs expérimentés dans les discussions sur MCP. C'est une communauté bienveillante où les questions sont les bienvenues et les connaissances partagées librement. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Si vous avez des retours produit ou des erreurs pendant le développement, visitez : +Si vous avez des retours sur le produit ou des erreurs pendant la création, visitez : [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -Clause de non-responsabilité : -Ce document a été traduit à l'aide du service de traduction par IA [Co-op Translator](https://github.com/Azure/co-op-translator). Bien que nous nous efforcions d'assurer l'exactitude, veuillez noter que les traductions automatisées peuvent contenir des erreurs ou des inexactitudes. Le document original dans sa langue d'origine doit être considéré comme la version faisant foi. Pour les informations critiques, il est recommandé de recourir à une traduction professionnelle réalisée par un traducteur humain. Nous déclinons toute responsabilité pour tout malentendu ou mauvaise interprétation résultant de l'utilisation de cette traduction. +**Avertissement** : +Ce document a été traduit à l’aide du service de traduction automatique [Co-op Translator](https://github.com/Azure/co-op-translator). Bien que nous nous efforcions d’assurer la précision, veuillez noter que les traductions automatiques peuvent contenir des erreurs ou des inexactitudes. Le document original dans sa langue d’origine doit être considéré comme la source faisant foi. Pour les informations critiques, il est recommandé de faire appel à une traduction professionnelle humaine. Nous déclinons toute responsabilité en cas de malentendus ou d’interprétations erronées résultant de l’utilisation de cette traduction. \ No newline at end of file diff --git a/translations/ru/README.md b/translations/ru/README.md index de3583cc..95538070 100644 --- a/translations/ru/README.md +++ b/translations/ru/README.md @@ -1,17 +1,17 @@ [![Лицензия GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![Контрибьюторы GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![Участники GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) [![Проблемы GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![Pull-запросы GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![PRs приветствуются](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![Запросы на включение](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) [![Наблюдатели GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) [![Форки GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) @@ -19,156 +19,169 @@ CO_OP_TRANSLATOR_METADATA: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) -[![Microsoft Foundry в Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Искусственный интеллект для начинающих - Учебная программа +# Искусственный интеллект для начинающих — учебная программа -|![Скетчноут от @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.ru.png)| +|![Конспект от @girlie_mac https://twitter.com/girlie_mac](../../translated_images/ai-overview.0857791951d19500.ru.png)| |:---:| -| AI для начинающих - _Скетчноут от [@girlie_mac](https://twitter.com/girlie_mac)_ | +| Искусственный интеллект для начинающих - _Конспект от [@girlie_mac](https://twitter.com/girlie_mac)_ | -Исследуйте мир **искусственного интеллекта** (ИИ) с нашей 12-недельной, 24-урочной учебной программой! Она включает практические уроки, викторины и лабораторные работы. Программа ориентирована на начинающих и охватывает инструменты, такие как TensorFlow и PyTorch, а также этику в ИИ +Изучите мир **Искусственного интеллекта** (ИИ) с нашей учебной программой на 12 недель и 24 урока! Включает практические занятия, викторины и лабораторные работы. Учебная программа подходит для начинающих и охватывает такие инструменты, как TensorFlow и PyTorch, а также этику в ИИ. ### 🌐 Многоязычная поддержка -#### Поддерживается через GitHub Action (автоматически и всегда актуально) +#### Поддерживается через GitHub Action (автоматизированно и всегда актуально) -[Арабский](../ar/README.md) | [Бенгальский](../bn/README.md) | [Болгарский](../bg/README.md) | [Бирманский (Мьянма)](../my/README.md) | [Китайский (упрощенный)](../zh/README.md) | [Китайский (традиционный, Гонконг)](../hk/README.md) | [Китайский (традиционный, Макао)](../mo/README.md) | [Китайский (традиционный, Тайвань)](../tw/README.md) | [Хорватский](../hr/README.md) | [Чешский](../cs/README.md) | [Датский](../da/README.md) | [Нидерландский](../nl/README.md) | [Эстонский](../et/README.md) | [Финский](../fi/README.md) | [Французский](../fr/README.md) | [Немецкий](../de/README.md) | [Греческий](../el/README.md) | [Иврит](../he/README.md) | [Хинди](../hi/README.md) | [Венгерский](../hu/README.md) | [Индонезийский](../id/README.md) | [Итальянский](../it/README.md) | [Японский](../ja/README.md) | [Каннада](../kn/README.md) | [Корейский](../ko/README.md) | [Литовский](../lt/README.md) | [Малайский](../ms/README.md) | [Малаялам](../ml/README.md) | [Маратхи](../mr/README.md) | [Непальский](../ne/README.md) | [Нигерийский пиджин](../pcm/README.md) | [Норвежский](../no/README.md) | [Персидский (фарси)](../fa/README.md) | [Польский](../pl/README.md) | [Португальский (Бразилия)](../br/README.md) | [Португальский (Португалия)](../pt/README.md) | [Пенджаби (гурмухи)](../pa/README.md) | [Румынский](../ro/README.md) | [Русский](./README.md) | [Сербский (кириллица)](../sr/README.md) | [Словацкий](../sk/README.md) | [Словенский](../sl/README.md) | [Испанский](../es/README.md) | [Свахили](../sw/README.md) | [Шведский](../sv/README.md) | [Тагалог (филиппинский)](../tl/README.md) | [Тамильский](../ta/README.md) | [Телугу](../te/README.md) | [Тайский](../th/README.md) | [Турецкий](../tr/README.md) | [Украинский](../uk/README.md) | [Урду](../ur/README.md) | [Вьетнамский](../vi/README.md) +[Арабский](../ar/README.md) | [Бенгальский](../bn/README.md) | [Болгарский](../bg/README.md) | [Бирманский (Мьянма)](../my/README.md) | [Китайский (упрощённый)](../zh/README.md) | [Китайский (традиционный, Гонконг)](../hk/README.md) | [Китайский (традиционный, Макао)](../mo/README.md) | [Китайский (традиционный, Тайвань)](../tw/README.md) | [Хорватский](../hr/README.md) | [Чешский](../cs/README.md) | [Датский](../da/README.md) | [Нидерландский](../nl/README.md) | [Эстонский](../et/README.md) | [Финский](../fi/README.md) | [Французский](../fr/README.md) | [Немецкий](../de/README.md) | [Греческий](../el/README.md) | [Иврит](../he/README.md) | [Хинди](../hi/README.md) | [Венгерский](../hu/README.md) | [Индонезийский](../id/README.md) | [Итальянский](../it/README.md) | [Японский](../ja/README.md) | [Каннада](../kn/README.md) | [Корейский](../ko/README.md) | [Литовский](../lt/README.md) | [Малайский](../ms/README.md) | [Малаялам](../ml/README.md) | [Маратхи](../mr/README.md) | [Непальский](../ne/README.md) | [Нигерийский Пиджин](../pcm/README.md) | [Норвежский](../no/README.md) | [Персидский (Фарси)](../fa/README.md) | [Польский](../pl/README.md) | [Португальский (Бразилия)](../br/README.md) | [Португальский (Португалия)](../pt/README.md) | [Панджаби (Гурмукхи)](../pa/README.md) | [Румынский](../ro/README.md) | [Русский](./README.md) | [Сербский (кириллица)](../sr/README.md) | [Словацкий](../sk/README.md) | [Словенский](../sl/README.md) | [Испанский](../es/README.md) | [Суахили](../sw/README.md) | [Шведский](../sv/README.md) | [Тагалог (филиппинский)](../tl/README.md) | [Тамильский](../ta/README.md) | [Телугу](../te/README.md) | [Тайский](../th/README.md) | [Турецкий](../tr/README.md) | [Украинский](../uk/README.md) | [Урду](../ur/README.md) | [Вьетнамский](../vi/README.md) + +> **Предпочитаете клонировать локально?** + +> Этот репозиторий включает более 50 языковых переводов, что значительно увеличивает размер загрузки. Чтобы клонировать без переводов, используйте sparse checkout: +> ```bash +> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git +> cd AI-For-Beginners +> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' +> ``` +> Это даст вам всё необходимое для прохождения курса с гораздо более быстрой загрузкой. -**Если вы хотите добавить дополнительные языки перевода, список поддерживаемых языков приведён [здесь](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Если вы хотите, чтобы были поддержаны дополнительные языки перевода, список которых приведён [здесь](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Присоединяйтесь к сообществу -[![Microsoft Foundry в Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Чему вы научитесь **[Ментальная карта курса](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -В этой учебной программе вы узнаете: +В этой учебной программе вы изучите: -* Различные подходы к искусственному интеллекту, включая «старый добрый» символический подход с **представлением знаний** и выводом ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Нейронные сети** и **глубокое обучение**, которые лежат в основе современного ИИ. Мы проиллюстрируем принципы, лежащие в основе этих важных тем, с помощью кода в двух из самых популярных фреймворков - [TensorFlow](http://Tensorflow.org) и [PyTorch](http://pytorch.org). -* **Нейронные архитектуры** для работы с изображениями и текстом. Мы рассмотрим недавние модели, но можем быть несколько отстающими от самого передового уровня. -* Менее популярные подходы в ИИ, такие как **генетические алгоритмы** и **многоагентные системы**. +* Различные подходы к Искусственному интеллекту, включая "старую добрую" символическую модель с **представлением знаний** и рассуждениями ([GOFAI](https://ru.wikipedia.org/wiki/%D0%A1%D0%B8%D0%BC%D0%B2%D0%BE%D0%BB%D1%8C%D0%BD%D1%8B%D0%B9_%D0%B8%D1%81%D0%BA%D1%83%D1%81%D1%81%D1%82%D0%B2%D0%B5%D0%BD%D0%BD%D1%8B%D0%B9_%D0%B8%D0%BD%D1%82%D0%B5%D0%BB%D0%BB%D0%B5%D0%BA%D1%82)). +* **Нейронные сети** и **Глубокое обучение**, являющиеся основой современного ИИ. Мы покажем концепции этих важных тем с использованием кода в двух самых популярных фреймворках — [TensorFlow](http://Tensorflow.org) и [PyTorch](http://pytorch.org). +* **Нейронные архитектуры** для работы с изображениями и текстом. Мы рассмотрим недавние модели, хотя некоторые из них могут немного отставать от передового уровня. +* Менее популярные подходы в ИИ, такие как **Генетические алгоритмы** и **Мультиагентные системы**. -Что мы не будем охватывать в этой программе: +Что мы не будем рассматривать в этой учебной программе: > [Найдите все дополнительные ресурсы для этого курса в нашей коллекции Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Бизнес-кейсы использования **ИИ в бизнесе**. Рассмотрите возможность прохождения учебного пути [Введение в ИИ для бизнес-пользователей](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) на Microsoft Learn, или [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), разработанного в сотрудничестве с [INSEAD](https://www.insead.edu/). -* **Классическое машинное обучение**, которое подробно описано в нашей учебной программе [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners). -* Практические приложения ИИ, построенные с использованием **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Для этого мы рекомендуем начать с модулей Microsoft Learn по [компьютерному зрению](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обработке естественного языка](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Генеративному ИИ с Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** и другим. -* Конкретные облачные фреймворки для машинного обучения, такие как [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) или [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Рассмотрите возможность использования учебных путей [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) и [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **Разговорный ИИ** и **чат-боты**. Существует отдельный учебный путь [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), а также вы можете обратиться к [этой статье в блоге](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) для получения дополнительных сведений. -* **Глубокая математика**, лежащая в основе глубокого обучения. Для этого мы рекомендуем книгу [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) авторов Ian Goodfellow, Yoshua Bengio и Aaron Courville, которая также доступна онлайн по адресу [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Бизнес-кейсы использования **ИИ в бизнесе**. Рассмотрите возможность прохождения пути обучения [Введение в ИИ для бизнес-пользователей](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) на Microsoft Learn или [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), разработанного в сотрудничестве с [INSEAD](https://www.insead.edu/). +* **Классическое машинное обучение**, хорошо описанное в нашей учебной программе [Machine Learning for Beginners](http://github.com/Microsoft/ML-for-Beginners). +* Практические приложения ИИ, созданные с использованием **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Для этого рекомендуем начать с модулей Microsoft Learn по [машинному зрению](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [обработке естественного языка](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Генеративному ИИ с помощью Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** и другим. +* Специфичные облачные фреймворки МЛ, такие как [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) или [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Рассмотрите возможность использования путей обучения [Создание и эксплуатация решений машинного обучения с Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) и [Создание и эксплуатация решений машинного обучения с Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Разговорный ИИ** и **Чат-боты**. Существует отдельный путь обучения [Создание решений разговорного ИИ](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), также можно ознакомиться с [этой статьёй в блоге](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) для подробностей. +* **Глубокую математику**, лежащую в основе глубокого обучения. Для этого рекомендуем книгу [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) Иэна Гудфеллоу, Йошуа Бенджио и Аарона Курвиля, которая также доступна онлайн по адресу [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Для мягкого введения в темы _ИИ в облаке_ вы можете рассмотреть прохождение учебного пути [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) на Microsoft Learn. +Для плавного введения в темы _ИИ в облаке_ вы можете пройти путь обучения [Начало работы с искусственным интеллектом на Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Содержание -| | Lesson Link | PyTorch/Keras/TensorFlow | Lab | -| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Настройка курса](./lessons/0-course-setup/setup.md) | [Настройка вашей среды разработки](./lessons/0-course-setup/how-to-run.md) | | +| | Ссылка на урок | PyTorch/Keras/TensorFlow | Лабораторная | +| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | --------------------------------------------------------- | +| 0 | [Настройка курса](./lessons/0-course-setup/setup.md) | [Настройте среду разработки](./lessons/0-course-setup/how-to-run.md) | | | I | [**Введение в ИИ**](./lessons/1-Intro/README.md) | | | | 01 | [Введение и история ИИ](./lessons/1-Intro/README.md) | - | - | | II | **Символический ИИ** | | 02 | [Представление знаний и экспертные системы](./lessons/2-Symbolic/README.md) | [Экспертные системы](./lessons/2-Symbolic/Animals.ipynb) / [Онтология](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Граф понятий](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Введение в нейронные сети**](./lessons/3-NeuralNetworks/README.md) ||| -| 03 | [Персептрон](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Блокнот](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Лаб](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Многослойный персептрон и создание собственного фреймворка](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Блокнот](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Лаб](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Введение в фреймворки (PyTorch/TensorFlow) и переобучение](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лаб](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Компьютерное зрение**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Изучите компьютерное зрение на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Введение в компьютерное зрение. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Блокнот](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Лаб](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Сверточные нейронные сети](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Архитектуры CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Лаб](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Предобученные сети и перенос обучения](./lessons/4-ComputerVision/08-TransferLearning/README.md) and [Приёмы обучения](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лаб](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [Автокодировщики и VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | -| 10 | [Генеративно-состязательные сети и перенос художественного стиля](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Обнаружение объектов](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Лаб](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 03 | [Перцептрон](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Блокнот](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Лабораторная работа](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Многослойный перцептрон и создание собственного фреймворка](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Блокнот](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Лабораторная работа](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Введение в фреймворки (PyTorch/TensorFlow) и переобучение](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лабораторная работа](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Компьютерное зрение**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Исследуйте компьютерное зрение на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Введение в компьютерное зрение. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Блокнот](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Лабораторная работа](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Сверточные нейронные сети](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Архитектуры CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Лабораторная работа](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Предобученные сети и перенос обучения](./lessons/4-ComputerVision/08-TransferLearning/README.md) и [Приемы обучения](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Лабораторная работа](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Автоэнкодеры и вариационные автоэнкодеры (VAE)](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [Генеративные состязательные сети и перенос художественного стиля](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Обнаружение объектов](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Лабораторная работа](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Семантическая сегментация. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**Обработка естественного языка**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Изучите обработку естественного языка на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| V | [**Обработка естественного языка**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Исследуйте обработку естественного языка на Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [Представление текста. BoW/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | | 14 | [Семантические векторные представления слов. Word2Vec и GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Языковое моделирование. Обучение собственных эмбеддингов](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Лаб](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 15 | [Языковое моделирование. Обучение собственных эмбеддингов](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Лабораторная работа](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [Рекуррентные нейронные сети](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | -| 17 | [Генеративные рекуррентные сети](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Лаб](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 17 | [Генеративные рекуррентные сети](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Лабораторная работа](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Трансформеры. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Распознавание именованных сущностей](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Лаб](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Большие языковые модели, программирование подсказок и задачи с малым количеством примеров](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Другие методы ИИ** || | +| 19 | [Распознавание именованных сущностей](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Лабораторная работа](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Крупные языковые модели, программирование подсказок и задачи с малым объемом данных](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Другие техники ИИ** || | | 21 | [Генетические алгоритмы](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Блокнот](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Глубокое обучение с подкреплением](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Лаб](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 22 | [Глубокое обучение с подкреплением](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Лабораторная работа](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Мультиагентные системы](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Этика ИИ** | | | -| 24 | [Этика ИИ и ответственный ИИ](./lessons/7-Ethics/README.md) | [Microsoft Learn: Принципы ответственного ИИ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 24 | [Этика ИИ и ответственное ИИ](./lessons/7-Ethics/README.md) | [Microsoft Learn: Принципы ответственного ИИ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Дополнительно** | | | | 25 | [Мультимодальные сети, CLIP и VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Блокнот](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## Каждый урок содержит +## Каждая лекция содержит * Материалы для предварительного чтения -* Исполняемые Jupyter-блокноты, которые часто специфичны для фреймворка (**PyTorch** или **TensorFlow**). Исполняемый блокнот также содержит много теоретического материала, поэтому, чтобы понять тему, вам нужно пройти по крайней мере одну версию блокнота (либо PyTorch, либо TensorFlow). -* **Лабораторные работы** доступные для некоторых тем, которые дают вам возможность попробовать применить изученный материал к конкретной задаче. +* Выполнимые блокноты Jupyter, которые часто специфичны для фреймворка (**PyTorch** или **TensorFlow**). Выполнимый блокнот также содержит много теоретического материала, поэтому для понимания темы необходимо пройти по крайней мере одну версию блокнота (либо PyTorch, либо TensorFlow). +* **Лабораторные работы**, доступные для некоторых тем, которые дают возможность попробовать применить изученный материал к конкретной задаче. * Некоторые разделы содержат ссылки на модули [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), которые охватывают связанные темы. ## Начало работы -### 🎯 Новичок в области ИИ? Начните здесь! +### 🎯 Новичок в ИИ? Начните здесь! -Если вы совсем новичок в ИИ и хотите быстрые практические примеры, ознакомьтесь с нашими [**Примерами для начинающих**](./examples/README.md)! В них входят: +Если вы совершенно новичок в ИИ и хотите быстрые, практические примеры, ознакомьтесь с нашими [**Примерами для начинающих**](./examples/README.md)! Среди них: -- 🌟 **Привет, мир ИИ** - Ваша первая программа ИИ (распознавание образов) -- 🧠 **Простая нейронная сеть** - Постройте нейронную сеть с нуля -- 🖼️ **Классификатор изображений** - Классификация изображений с подробными комментариями -- 💬 **Определение тональности текста** - Анализ положительного/отрицательного текста +- 🌟 **Привет, ИИ мир** - ваша первая программа на ИИ (распознавание шаблонов) +- 🧠 **Простая нейронная сеть** - создание нейронной сети с нуля +- 🖼️ **Классификатор изображений** - классификация изображений с подробными комментариями +- 💬 **Анализ тональности текста** — Анализ положительного/отрицательного текста -These examples are designed to help you understand AI concepts before diving into the full curriculum. +Эти примеры созданы, чтобы помочь вам понять концепции ИИ перед тем, как приступить к полному курсу. -### 📚 Настройка полного учебного курса +### 📚 Настройка полного курса -- Мы создали a [урок по настройке](./lessons/0-course-setup/setup.md) to help you with setting up your development environment. - Для преподавателей, мы также создали a [урок по настройке учебной программы](./lessons/0-course-setup/for-teachers.md) for you too! +- Мы создали [урок по настройке](./lessons/0-course-setup/setup.md), чтобы помочь вам с настройкой вашей среды разработки. +- Для преподавателей мы также создали [урок по настройке учебных программ](./lessons/0-course-setup/for-teachers.md)! - Как [запустить код в VSCode или Codepace](./lessons/0-course-setup/how-to-run.md) -Follow these steps: +Следуйте этим шагам: -Fork the Repository: Click on the "Fork" button at the top-right corner of this page. +Fork репозитория: Нажмите кнопку "Fork" в правом верхнем углу этой страницы. -Clone the Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Клонируйте репозиторий: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Don't forget to star (🌟) this repo to find it easier later. +Не забудьте поставить звезду (🌟) этому репозиторию, чтобы позже было проще его найти. -## Познакомьтесь с другими учащимися +## Встречайтесь с другими учениками -Join our [официальному Discord‑серверу по ИИ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) to meet and network with other learners taking this course and get support. +Присоединяйтесь к нашему [официальному Discord-серверу ИИ](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), чтобы познакомиться и пообщаться с другими учащимися этого курса и получить поддержку. -If you have product feedback or questions whilst building visit our [Форум разработчиков Azure AI Foundry](https://aka.ms/foundry/forum) +Если у вас есть отзывы о продукте или вопросы во время разработки, посетите наш [форум разработчиков Azure AI Foundry](https://aka.ms/foundry/forum) -## Викторины +## Викторины -> **Примечание о викторинах**: Все викторины находятся в папке Quiz-app в etc\quiz-app, или [Онлайн здесь](https://ff-quizzes.netlify.app/) They are linked from within the lessons the quiz app can be run locally or deployed to Azure; follow the instruction in the `quiz-app` folder. They are gradually being localized. +> **Примечание о викторинах**: Все викторины находятся в папке Quiz-app в etc\quiz-app, или [онлайн здесь](https://ff-quizzes.netlify.app/). +Они связаны с уроками, приложение викторины можно запускать локально или развертывать в Azure; следуйте инструкциям в папке `quiz-app`. +Викторины постепенно переводятся на другие языки. ## Нужна помощь -Do you have suggestions or found spelling or code errors? Raise an issue or create a pull request. +Есть предложения или нашли ошибки орфографии или кода? Создайте issue или pull request. ## Особая благодарность -* **✍️ Главный автор:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 Редактор:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Иллюстратор скетчей:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ Создатель викторины:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Основные участники:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✍️ Основной автор:** [Дмитрий Сошников](http://soshnikov.com), PhD +* **🔥 Редактор:** [Джен Лупер](https://twitter.com/jenlooper), PhD +* **🎨 Иллюстратор скетчей:** [Томоми Имура](https://twitter.com/girlie_mac) +* **✅ Создатель викторин:** [Латифа Белло](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 Главные участники:** [Евгений Пищик](https://github.com/Pe4enIks) ## Другие учебные программы -Our team produces other curricula! Check out: +Наша команда создаёт и другие учебные программы! Ознакомьтесь: ### LangChain -[![LangChain4j для начинающих](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js для начинающих](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) --- @@ -176,10 +189,10 @@ Our team produces other curricula! Check out: [![AZD для начинающих](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [![Edge AI для начинающих](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [![MCP для начинающих](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Агенты ИИ для начинающих](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI агенты для начинающих](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- - + ### Серия по генеративному ИИ [![Генеративный ИИ для начинающих](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Генеративный ИИ (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) @@ -187,37 +200,37 @@ Our team produces other curricula! Check out: [![Генеративный ИИ (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- - -### Основные направления обучения -[![ML для начинающих](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) + +### Основное обучение +[![Машинное обучение для начинающих](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) [![Data Science для начинающих](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) [![ИИ для начинающих](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) [![Кибербезопасность для начинающих](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) [![Веб-разработка для начинающих](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) [![IoT для начинающих](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![Разработка XR для начинающих](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +[![XR разработка для начинающих](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- - + ### Серия Copilot -[![Copilot для парного программирования с ИИ](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot для совместного программирования с ИИ](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot для C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Приключения Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## Получение помощи -If you get stuck or have any questions about building AI apps. Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely. +Если у вас возникли трудности или есть вопросы по созданию ИИ-приложений, присоединяйтесь к сообществу учащихся и опытных разработчиков для обсуждений MCP. Это поддерживающее сообщество, где вопросы приветствуются, а знания свободно делятся. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -If you have product feedback or errors while building visit: +Если у вас есть отзывы о продукте или возникли ошибки во время разработки, посетите: -[![Форум разработчиков Microsoft Foundry](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) +[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -Отказ от ответственности: -Этот документ был переведён с помощью сервиса перевода на базе ИИ Co-op Translator (https://github.com/Azure/co-op-translator). Хотя мы стремимся к точности, имейте в виду, что автоматические переводы могут содержать ошибки или неточности. Оригинальный документ на исходном языке следует считать авторитетным источником. Для критически важной информации рекомендуется профессиональный (человеческий) перевод. Мы не несем ответственности за любые недоразумения или неправильные толкования, возникшие в результате использования данного перевода. +**Отказ от ответственности**: +Этот документ был переведен с помощью AI-сервиса перевода [Co-op Translator](https://github.com/Azure/co-op-translator). Несмотря на наши усилия по обеспечению точности, имейте в виду, что автоматические переводы могут содержать ошибки или неточности. Оригинальный документ на его исходном языке следует считать авторитетным источником. Для получения критически важной информации рекомендуется профессиональный перевод человеком. Мы не несем ответственности за любые недоразумения или неправильные толкования, возникшие в результате использования данного перевода. \ No newline at end of file