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@ -6,8 +6,8 @@
"language_code": "ur"
},
"README.md": {
"original_hash": "75fe3383afc51eaa84b82ace619ffea7",
"translation_date": "2026-02-06T07:29:59+00:00",
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
"translation_date": "2026-02-28T09:43:33+00:00",
"source_file": "README.md",
"language_code": "ur"
},
@ -89,6 +89,12 @@
"source_file": "lessons/1-Intro/assignment.md",
"language_code": "ur"
},
"lessons/2-Symbolic/MSConceptGraph.ipynb": {
"original_hash": "e5690bbc6e5119a96a8172ec7261db67",
"translation_date": "2026-02-28T09:41:38+00:00",
"source_file": "lessons/2-Symbolic/MSConceptGraph.ipynb",
"language_code": "ur"
},
"lessons/2-Symbolic/README.md": {
"original_hash": "f9f06b266b8b2bfc6b8792ff2bb1bea4",
"translation_date": "2026-01-15T11:49:47+00:00",

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[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
# ابتدائی افراد کے لیے مصنوعی ذہانت - ایک نصاب
# نوآموزوں کے لیے مصنوعی ذہانت - ایک نصاب
|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
|:---:|
| ابتدائی افراد کے لیے AI - _سکیچ نوٹ بذریعہ [@girlie_mac](https://twitter.com/girlie_mac)_ |
| نوآموزوں کے لیے مصنوعی ذہانت - _اسکیچ نوٹ بذریعہ [@girlie_mac](https://twitter.com/girlie_mac)_ |
ہمارے 12 ہفتوں، 24 اسباق کے نصاب کے ساتھ **مصنوعی ذہانت** (AI) کی دنیا دریافت کریں! اس میں عملی اسباق، کوئزز، اور لیب شامل ہیں۔ یہ نصاب مبتدی افراد کے لیے آسان ہے اور اس میں TensorFlow اور PyTorch جیسے ٹولز کے ساتھ ساتھ AI میں اخلاقیات کا احاطہ کیا گیا ہے۔
ہمارے 12 ہفتوں، 24 اسباق پر مشتمل نصاب کے ساتھ **مصنوعی ذہانت** (AI) کی دنیا کو دریافت کریں! اس میں عملی اسباق، کوئزز، اور لیبز شامل ہیں۔ نصاب نوآموزوں کے لیے موزوں ہے اور اس میں TensorFlow اور PyTorch جیسے ٹولز کے ساتھ ساتھ AI میں اخلاقیات بھی شامل ہیں۔
### 🌐 کثیراللسانی معاونت
### 🌐 کثیرالزبان تعاون
#### GitHub ایکشن کے ذریعے معاونت (خودکار اور ہمیشہ تازہ ترین)
#### گٹ ہب ایکشن کے ذریعے تعاون یافتہ (خودکار اور ہمیشہ تازہ ترین)
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-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](../fr/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)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-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](./README.md) | [Vietnamese](../vi/README.md)
> **مقامی طور پر کلون کرنا چاہتے ہیں؟**
> اس ریپوزیٹری میں 50+ زبانوں کے تراجم شامل ہیں جس کے سبب ڈاؤن لوڈ سائز کافی بڑھ جاتا ہے۔ بغیر تراجم کے کلون کرنے کے لیے sparse checkout استعمال کریں:
> **مقامی طور پر کلون کرنے کو ترجیح دیتے ہیں؟**
>
> یہ ذخیرہ 50+ زبانوں میں ترجمے شامل کرتا ہے جو ڈاؤن لوڈ کے سائز کو نمایاں طور پر بڑھاتے ہیں۔ بغیر ترجمے کے کلون کرنے کے لیے sparse checkout استعمال کریں:
>
> **Bash / macOS / Linux:**
> ```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'
> ```
> اس سے آپ کے پاس کورس مکمل کرنے کے لیے تمام مواد دستیاب ہوگا، اور ڈاؤن لوڈ بھی بہت تیز ہوگا۔
>
> **CMD (Windows):**
> ```cmd
> 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"
> ```
>
> یہ آپ کو کورس مکمل کرنے کے لیے سب کچھ فراہم کرتا ہے، اور ڈاؤن لوڈ بہت تیز ہو جاتا ہے۔
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**اگر آپ چاہیں کہ اضافی ترجمہ شدہ زبانیں بھی شامل کی جائیں تو وہ [یہاں](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) موجود ہیں۔**
**اگر آپ اضافی زبانوں میں ترجمہ چاہتے ہیں تو یہاں دی گئی فہرست میں سے درخواست کریں [یہاں](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
## کمیونٹی میں شامل ہوں
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
@ -47,177 +57,177 @@
**[کورس کا مائنڈ میپ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
اس نصاب میں، آپ سیکھیں گے:
اس نصاب میں آپ سیکھیں گے:
* مصنوعی ذہانت کے مختلف طریقے، جن میں "پرانی" علامتی طریقہ شامل ہے جس میں **Knowledge Representation** اور دلائل ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)) شامل ہیں۔
* **نیورل نیٹ ورکس** اور **ڈیپ لرننگ**، جو جدید AI کے مرکز میں ہیں۔ ہم ان اہم موضوعات کے پیچھے کے تصورات کو دو معروف فریم ورکس میں کوڈ کے ذریعے واضح کریں گے - [TensorFlow](http://Tensorflow.org) اور [PyTorch](http://pytorch.org)۔
* تصاویر اور متن کے ساتھ کام کرنے کے لیے **نیورل آرکیٹیکچرز**۔ ہم تازہ ترین ماڈلز کا احاطہ کریں گے لیکن ممکن ہے کہ جدید ترین سطح میں کچھ کمی ہو۔
* کم معروف AI طریقے، جیسے کہ **Genetic Algorithms** اور **Multi-Agent Systems**۔
* مصنوعی ذہانت کے مختلف طریقے، بشمول "پرانی اچھی" علامتی طریقہ کار جس میں **علم کی نمائندگی** اور استدلال شامل ہے ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))۔
* **نیورل نیٹ ورکس** اور **ڈیپ لرننگ**، جو جدید AI کی بنیاد ہیں۔ ہم ان اہم موضوعات کے پیچھے کے تصورات کو دو معروف فریم ورکس - [TensorFlow](http://Tensorflow.org) اور [PyTorch](http://pytorch.org) - میں کوڈ کے ذریعے بیان کریں گے۔
* تصویروں اور متن کے ساتھ کام کرنے کے لیے **نیورل آرکیٹیکچرز**۔ ہم حالیہ ماڈلز کا احاطہ کریں گے مگر ہوسکتا ہے کہ جدید ترین خصوصیات میں کچھ کمی ہو۔
* کم مقبول AI طریقے، جیسے کہ **جینیٹک الگورتھمز** اور **ملٹی ایجنٹ سسٹمز**۔
اس نصاب میں ہم یہ چیزیں شامل نہیں کریں گے:
ہم اس نصاب میں جن موضوعات کا احاطہ نہیں کریں گے:
> [اس کورس کے تمام اضافی وسائل ہمارے Microsoft Learn کلیکشن میں دیکھیں](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
> [اس کورس کے تمام اضافی وسائل ہمارے Microsoft Learn کلیکشن میں تلاش کریں](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* **AI in Business** کے کاروباری کیسز۔ آپ [تعارفی کورس برائے کاروباری صارفین کے لیے AI](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) استعمال کر سکتے ہیں، یا [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)، جو [INSEAD](https://www.insead.edu/) کے تعاون سے تیار کیا گیا ہے۔
* **کلاسیک مشین لرننگ**، جو ہمارے [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) میں اچھی طرح بیان کی گئی ہے۔
* عملی AI ایپلیکیشنز جو **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** کا استعمال کرتے ہیں۔ اس کے لیے، ہم Microsoft Learn کے ماڈیولز شروع کرنے کی سفارش کرتے ہیں، جیسے [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)** وغیرہ۔
* مخصوص ML **کلاؤڈ فریم ورکس**، جیسے [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)۔ آپ [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) اور [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) سیکھنے والے راستے استعمال کر سکتے ہیں۔
* **Conversational AI** اور **چیٹ بوٹس**۔ اس کے لیے ایک الگ [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) سیکھنے والا راستہ موجود ہے، اور مزید تفصیل کے لیے آپ [اس بلاگ پوسٹ](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) کا بھی حوالہ لے سکتے ہیں۔
* **ڈیپ لرننگ کے پیچھے گہری ریاضی**۔ اس کے لیے ہم Ian Goodfellow، Yoshua Bengio اور Aaron Courville کی کتاب [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) کی سفارش کرتے ہیں، جو آن لائن بھی دستیاب ہے [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)۔
* **کاروبار میں AI** کے استعمال کے کاروباری معاملات۔ آپ [Introduction to AI for business users](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) لرننگ راستہ، یا [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) جو [INSEAD](https://www.insead.edu/) کے تعاون سے تیار کیا گیا ہے، اختیار کر سکتے ہیں۔
* **روایتی مشین لرننگ**، جس کی تفصیل ہمارے [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) میں موجود ہے۔
* عملی AI ایپلیکیشنز جو **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** کے استعمال سے بنائی گئی ہیں۔ اس کے لیے ہم تجویز کرتے ہیں کہ آپ Microsoft Learn کے ماڈیولز سے [vision](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)، [طبیعی زبان کی پروسیسنگ](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)، **[Azure OpenAI Service کے ساتھ Generative AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** اور دیگر ماڈیولز کے ساتھ آغاز کریں۔
* مخصوص مشین لرننگ **کلاؤڈ فریم ورکس**، جیسے کہ [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)۔ آپ [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) اور [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) لرننگ راستے استعمال کر سکتے ہیں۔
* **مکالماتی AI** اور **چیٹ بوٹس**۔ ایک الگ [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) لرننگ راستہ موجود ہے، اور آپ تفصیل کے لیے [اس بلاگ پوسٹ](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) کو بھی دیکھ سکتے ہیں۔
* **گہرے ریاضیاتی اصول** جو ڈیپ لرننگ کے پیچھے ہیں۔ اس کے لیے ہم Ian Goodfellow، Yoshua Bengio اور Aaron Courville کی کتاب [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) تجویز کرتے ہیں، جو آن لائن بھی دستیاب ہے [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) پر۔
آسان تعارف کے لیے _Cloud میں AI_ کے موضوعات پر، آپ [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) کا سیکھنے والا راستہ اختیار کر سکتے ہیں۔
AI کو کلاؤڈ میں ہلکے انداز میں سمجھنے کے لیے آپ [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) لرننگ راستہ لے سکتے ہیں۔
# مواد
| | سبق کا لنک | PyTorch/Keras/TensorFlow | لیب |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [کورس سیٹ اپ](./lessons/0-course-setup/setup.md) | [اپنا ترقیاتی ماحول سیٹ اپ کریں](./lessons/0-course-setup/how-to-run.md) | |
| I | [**مصنوعی ذہانت کا تعارف**](./lessons/1-Intro/README.md) | | |
| 01 | [مصنوعی ذہانت کا تعارف اور تاریخ](./lessons/1-Intro/README.md) | - | - |
| 0 | [کورس سیٹ اپ](./lessons/0-course-setup/setup.md) | [اپنا ڈیولپمنٹ ماحول سیٹ کریں](./lessons/0-course-setup/how-to-run.md) | |
| I | [**AI کا تعارف**](./lessons/1-Intro/README.md) | | |
| 01 | [AI کا تعارف اور تاریخ](./lessons/1-Intro/README.md) | - | - |
| II | **علامتی AI** |
| 02 | [Knowledge Representation اور ماہر نظام](./lessons/2-Symbolic/README.md) | [ماہر نظام](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| 02 | [نالج ریپریزنٹیشن اور ماہر نظام](./lessons/2-Symbolic/README.md) | [ماہر نظام](./lessons/2-Symbolic/Animals.ipynb) / [اونٹولوجی](./lessons/2-Symbolic/FamilyOntology.ipynb) /[تصوری گراف](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**نیورل نیٹ ورکس کا تعارف**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [پرسیپٹرون](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [نوٹ بک](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [لیب](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [ملٹی لئیرڈ پرسیپٹرون اور اپنا فریم ورک بنانا](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [نوٹ بک](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [لیب](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [فریم ورکس کا تعارف (PyTorch/TensorFlow) اور اوورفٹنگ](./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) | [لیب](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**کمپیوٹر وژن**](./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)| [مائیکروسافٹ ایزور پر کمپیوٹر وژن دریافت کریں](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [کمپیوٹر وژن کا تعارف۔ OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [نوٹ بک](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [لیب](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [کنولوشنل نیورل نیٹ ورکس](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN کے آرکیٹیکچرز](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [لیب](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [پری ٹرینڈ نیٹ ورکس اور ٹرانسفر لرننگ](./lessons/4-ComputerVision/08-TransferLearning/README.md) اور [ٹریننگ ٹرکس](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [لیب](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [آٹو اینکوڈرز اور 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 | [جنریٹو ایڈورسیرئل نیٹ ورکس اور آرٹسٹک اسٹائل ٹرانسفر](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [آبجیکٹ ڈیٹیکشن](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [لیب](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [سیمانٹک سیگمنٹیشن۔ 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 | [**قدرتی زبان کی پروسیسنگ**](./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) | [مائیکروسافٹ ایزور پر قدرتی زبان کی پروسیسنگ دریافت کریں](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [ٹیکسٹ کی نمائندگی۔ بو/ٹی ایف-آئی ڈی ایف](./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 | [سیمانٹک ورڈ ایمبیڈنگز۔ Word2Vec اور 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 | [لینگویج ماڈلنگ۔ اپنی ہی ایمبیڈنگز کی تربیت](./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) | [لیب](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [ریکرنٹ نیورل نیٹ ورکس](./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 | [جنریٹو ریکرنٹ نیٹ ورکس](./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) | [لیب](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [ٹرانسفارمرز۔ 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 | [نیامڈ اینٹیٹی ریکگنیشن](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [لیب](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [لارج لینگوئج ماڈلز، پرامپٹ پروگرامنگ اور فیو-شاٹ ٹاسکس](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| 03 | [پرسیپٹرون](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [نوٹ بُک](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [لیب](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [کثیر پرت والا پرسیپٹرون اور اپنا فریم ورک بنانا](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [نوٹ بُک](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [لیب](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [فریم ورکس کا تعارف (پائی ٹورچ / ٹینسر فلو) اور اوورفٹنگ](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [پائی ٹورچ](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [کیراس](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [ٹینسر فلو](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [لیب](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**کمپیوٹر وژن**](./lessons/4-ComputerVision/README.md) | [پائی ٹورچ](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [ٹینسر فلو](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [مائیکروسافٹ ایزور پر کمپیوٹر وژن دریافت کریں](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [کمپیوٹر وژن کا تعارف۔ اوپن سی وی](./lessons/4-ComputerVision/06-IntroCV/README.md) | [نوٹ بُک](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [لیب](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [کنولوشنل نیورل نیٹ ورکس](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN فن تعمیرات](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [پائی ٹورچ](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[ٹینسر فلو](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [لیب](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [پہلے سے تربیت یافتہ نیٹ ورکس اور ٹرانسفر لرننگ](./lessons/4-ComputerVision/08-TransferLearning/README.md) اور [ٹریننگ ٹرکس](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [پائی ٹورچ](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [ٹینسر فلو](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [لیب](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [آٹو انکوڈرز اور وی اے ای](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [پائی ٹورچ](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [ٹینسر فلو](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [جنریٹو ایڈورسیریل نیٹ ورکس اور آرٹسٹک اسٹائل ٹرانسفر](./lessons/4-ComputerVision/10-GANs/README.md) | [پائی ٹورچ](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [ٹینسر فلو](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [آبجیکٹ ڈٹیکشن](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [ٹینسر فلو](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [لیب](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [سیمنٹک سیگمنٹیشن۔ یو-نیٹ](./lessons/4-ComputerVision/12-Segmentation/README.md) | [پائی ٹورچ](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [ٹینسر فلو](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
| V | [**قدرتی زبان کی پروسیسنگ**](./lessons/5-NLP/README.md) | [پائی ٹورچ](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[ٹینسر فلو](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [مائیکروسافٹ ایزور پر قدرتی زبان کی پروسیسنگ دریافت کریں](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [متن کی نمائندگی۔ باو/ٹی ایف-آئی ڈی ایف](./lessons/5-NLP/13-TextRep/README.md) | [پائی ٹورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [ٹینسر فلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
| 14 | [سیمنٹک ورڈ ایمبیڈنگز۔ ورڈ2ویک اور گلوو](./lessons/5-NLP/14-Embeddings/README.md) | [پائی ٹورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [ٹینسر فلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
| 15 | [زبان کی ماڈلنگ۔ اپنی ایمبیڈنگز کی تربیت](./lessons/5-NLP/15-LanguageModeling/README.md) | [پائی ٹورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [ٹینسر فلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [لیب](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [ریکارنٹ نیورل نیٹ ورکس](./lessons/5-NLP/16-RNN/README.md) | [پائی ٹورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [ٹینسر فلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
| 17 | [جنریٹو ریکارنٹ نیٹ ورکس](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [پائی ٹورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [ٹینسر فلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [لیب](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [ٹرانسفارمرز۔ بی ای آر ٹی۔](./lessons/5-NLP/18-Transformers/README.md) | [پائی ٹورچ](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[ٹینسر فلو](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
| 19 | [نامزد ادارے کی شناخت](./lessons/5-NLP/19-NER/README.md) | [ٹینسر فلو](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [لیب](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [بڑے زبان کے ماڈلز، پرامپٹ پروگرامنگ اور چند شوٹ کے کام](./lessons/5-NLP/20-LangModels/README.md) | [پائی ٹورچ](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **دیگر AI تکنیکس** || |
| 21 | [جینیٹک الگورتھمز](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [نوٹ بک](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [ڈیپ رینفورسمنٹ لرننگ](./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) | [لیب](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [ملٹی ایجنٹ سسٹمز](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| 21 | [جینیاتی الگورتھمز](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [نوٹ بُک](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [گہری تقویت سیکھنا](./lessons/6-Other/22-DeepRL/README.md) | [پائی ٹورچ](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[ٹینسر فلو](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [لیب](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [کئی ایجنٹ نظام](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **AI اخلاقیات** | | |
| 24 | [AI اخلاقیات اور ذمہ دار AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: ذمہ دار AI اصول](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **اضافی مواد** | | |
| 25 | [ملٹی ماڈل نیٹ ورکس، CLIP اور VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [نوٹ بک](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
| 24 | [AI اخلاقیات اور ذمہ دار AI](./lessons/7-Ethics/README.md) | [مائیکروسافٹ لرن: ذمہ دار AI اصول](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **اضافی** | | |
| 25 | [کثیر وضعیاتی نیٹ ورکس، کلپ اور VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [نوٹ بُک](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## ہر سبق میں شامل ہے
* پری ریڈنگ مواد
* قابل عمل جیوپیٹر نوٹ بکس، جو اکثر فریم ورک کے مخصوص ہوتے ہیں (**PyTorch** یا **TensorFlow**)۔ قابل عمل نوٹ بک میں بہت سا نظریاتی مواد بھی ہوتا ہے، لہٰذا موضوع کو سمجھنے کے لیے آپ کو کم از کم نوٹ بک کا ایک ورژن (چاہے PyTorch ہو یا TensorFlow) دیکھنا ضروری ہے۔
* کچھ موضوعات کے لیے دستیاب **لیبز**، جو آپ کو سیکھے گئے مواد کو کسی مخصوص مسئلے پر آزمانے کا موقع فراہم کرتی ہیں۔
* بعض حصے [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ماڈیولز کے لنکس شامل کرتے ہیں جو متعلقہ موضوعات کا احاطہ کرتے ہیں۔
* پہلے سے پڑھنے کا مواد
* قابلِ عمل جیوپیٹر نوٹ بکس، جو عموماً فریم ورک (**PyTorch** یا **TensorFlow**) کے مخصوص ہوتے ہیں۔ قابلِ عمل نوٹ بک میں بہت سا نظریاتی مواد بھی شامل ہوتا ہے، لہذا موضوع کو سمجھنے کے لیے آپ کو کم از کم نوٹ بک کا ایک ورژن (یا تو PyTorch یا TensorFlow) دیکھنا ضروری ہے۔
* کچھ موضوعات کے لیے **لیبز** دستیاب ہیں، جو آپ کو سکھائے گئے مواد کو کسی مخصوص مسئلے پر لاگو کرنے کا موقع فراہم کرتے ہیں۔
* کچھ حصوں میں [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ماڈیولز کے لنکس شامل ہیں جو متعلقہ موضوعات کو کور کرتے ہیں۔
## آغاز کریں
## شروع کرتے ہیں
### 🎯 AI میں نئے ہیں؟ یہاں سے شروع کریں!
اگر آپ AI میں بالکل نئے ہیں اور فوری، ہاتھوں پر عملی مثالیں چاہتے ہیں، تو ہمارے [**ابتدائی دوستانہ مثالیں**](./examples/README.md) دیکھیں! ان میں شامل ہیں:
اگر آپ AI میں بالکل نئے ہیں اور فوری، عملی مثالیں چاہتے ہیں، تو ہمارے [**ابتدائی دوستانہ مثالیں**](./examples/README.md) دیکھیں! ان میں شامل ہیں:
- 🌟 **ہیلو AI دنیا** - آپ کا پہلا AI پروگرام (پیٹرن کی پہچان)
- 🧠 **سادہ نیورل نیٹ ورک** - نیورل نیٹ ورک کی بنیاد سے تعمیر کریں
- 🖼️ **تصویری درجہ بندی کرنے والا** - تفصیلی تبصروں کے ساتھ تصاویر کی درجہ بندی کریں
- 💬 **متن کے جذبات** - مثبت/منفی متن کا تجزیہ کریں
- 🌟 **ہیلو AI ورلڈ** - آپ کا پہلا AI پروگرام (پیٹرن کی پہچان)
- 🧠 **سادہ نیورل نیٹ ورک** - نیورل نیٹ ورک کھردرا طور پر بنائیں
- 🖼️ **تصویر کی درجہ بندی کرنے والا** - تصاویر کو تفصیلی تبصروں کے ساتھ درجہ بندی کریں
- 💬 **متن کا جذباتی تجزیہ** - مثبت/منفی متن کا تجزیہ کریں
یہ مثالیں آپ کو مکمل نصاب میں شامل ہونے سے پہلے AI کے تصورات کو سمجھنے میں مدد کے لیے بنائی گئی ہیں۔
یہ مثالیں آپ کو مکمل نصاب میں جانے سے پہلے AI کے تصورات سمجھنے میں مدد دیتی ہیں۔
### 📚 مکمل نصاب کی ترتیب
- ہم نے آپ کی ترقیاتی ماحول کی ترتیب میں مدد کے لیے [سیٹ اپ سبق](./lessons/0-course-setup/setup.md) تیار کیا ہے۔ - معلمین کے لیے بھی ہم نے [نصاب ترتیب کا سبق](./lessons/0-course-setup/for-teachers.md) تیار کیا ہے!
- VSCode یا Codespace میں [کوڈ کیسے چلائیں](./lessons/0-course-setup/how-to-run.md)
- ہم نے آپ کی ترقیاتی ماحول کی ترتیب میں مدد کے لیے ایک [سیٹ اپ سبق](./lessons/0-course-setup/setup.md) تیار کیا ہے۔
- اساتذہ کے لیے، ایک [نصاب ترتیب سبق](./lessons/0-course-setup/for-teachers.md) بھی بنایا گیا ہے!
- VSCode یا Codespace میں [کوڈ چلانے کا طریقہ](./lessons/0-course-setup/how-to-run.md)
یہ اقدامات کریں:
ان اقدامات پر عمل کریں:
ذخیرہ کو فورک کریں: اس صفحے کے اوپری دائیں کونے میں "Fork" بٹن پر کلک کریں۔
ریپوزٹری فورک کریں: اس صفحے کے اوپر دائیں کونے میں "Fork" بٹن پر کلک کریں۔
ذخیرہ کو کلون کریں: `git clone https://github.com/microsoft/AI-For-Beginners.git`
ریپوزٹری کلون کریں: `git clone https://github.com/microsoft/AI-For-Beginners.git`
اس ریپو کو ستارہ (🌟) دینا نہ بھولیں تاکہ بعد میں اسے آسانی سے تلاش کیا جا سکے۔
بعد میں آسان تلاش کے لیے اس ریپو کو اسٹار (🌟) کرنا نہ بھولیں۔
## دیگر سیکھنے والوں سے ملیں
## دوسرے طلباء سے ملاقات
دوسرے سیکھنے والوں سے ملنے اور نیٹ ورک بنانے کے لیے ہمارے [سرکاری AI Discord سرور](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) میں شامل ہوں جو یہ کورس کر رہے ہیں اور مدد حاصل کریں۔
ہمارے [سرکاری AI Discord سرور](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) میں شامل ہوں تاکہ اس کورس کو کرنے والے دیگر طلباء سے ملیں، نیٹ ورکنگ کریں اور مدد حاصل کریں۔
اگر آپ کو پروڈکٹ فیڈ بیک یا سوالات ہیں تو ہمارے [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) پر جائیں۔
اگر آپ کو پروڈکٹ کے بارے میں رائے یا سوالات ہوں تو ہمارے [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) پر جائیں۔
## کوئزز
> **کوئزز کے بارے میں ایک نوٹ**: تمام کوئزز Quiz-app فولڈر میں etc\quiz-app کے اندر ہیں، یا [آن لائن یہاں](https://ff-quizzes.netlify.app/)۔ یہ اسباق کے اندر سے لنک کیے گئے ہیں۔ کوئز ایپ مقامی طور پر چلائی جا سکتی ہے یا Azure پر تعینات کی جا سکتی ہے؛ `quiz-app` فولڈر میں ہدایات پر عمل کریں۔ انہیں بتدریج مقامی زبانوں میں بھی ڈھالا جا رہا ہے۔
> **کوئزز کے بارے میں نوٹ**: تمام کوئزز Quiz-app فولڈر میں etc\quiz-app میں موجود ہیں، یا [آن لائن یہاں](https://ff-quizzes.netlify.app/)۔ یہ اسباق میں لنک ہیں۔ کوئز ایپ کو مقامی طور پر چلایا جا سکتا ہے یا Azure پر تعینات کیا جا سکتا ہے؛ `quiz-app` فولڈر میں دی ہدایات پر عمل کریں۔ یہ آہستہ آہستہ مقامی زبانوں میں ترجمہ کیے جا رہے ہیں۔
## مدد درکار ہے
کیا آپ کے پاس تجاویز ہیں یا آپ نے املا یا کوڈ کی غلطیاں دیکھی ہیں؟ ایک مسئلہ اٹھائیں یا پل ریکویسٹ بنائیں۔
کیا آپ کے پاس تجاویز ہیں یا ہجے یا کوڈ کے غلطیاں ملی ہیں؟ کوئی ایشو اٹھائیں یا پل ریکویسٹ بنائیں۔
## خصوصی شکریہ
* **✍️ مرکزی مصنف:** [Dmitry Soshnikov](http://soshnikov.com), PhD
* **🔥 مدیر:** [Jen Looper](https://twitter.com/jenlooper), PhD
* **✍️ بنیادی مصنف:** [Dmitry Soshnikov](http://soshnikov.com), PhD
* **🔥 ایڈیٹر:** [Jen Looper](https://twitter.com/jenlooper), PhD
* **🎨 سکیچ نوٹ مصور:** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ کوئز بنانے والی:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 مرکزی شراکت دار:** [Evgenii Pishchik](https://github.com/Pe4enIks)
* **✅ کوئز کری ایٹر:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 مرکزی شراکت دار:** [Evgenii Pishchik](https://github.com/Pe4enIks)
## دیگر نصاب
## دیگر نصابات
ہماری ٹیم دوسرے نصاب بھی تیار کرتی ہے! دیکھیں:
ہماری ٹیم دیگر نصابات بھی تیار کرتی ہے! یہ دیکھیں:
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
[![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)
[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
---
---
### Azure / Edge / MCP / Agents
### Azure / Edge / MCP / Agents
[![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)
[![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)
---
### جنریٹو AI سیریز
---
### Generative AI Series
[![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)
[![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)
---
### بنیادی تعلیم
---
### Core Learning
[![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)
[![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)
---
### کوپائلٹ سیریز
---
### Copilot Series
[![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)
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
## مدد حاصل کرنا
## مدد حاصل کریں
اگر آپ پھنس گئے ہیں یا AI ایپ بنانے کے سلسلے میں کوئی سوالات ہیں، تو MCP کے بارے میں بات چیت میں ساتھی سیکھنے والے اور تجربہ کار ڈیولپرز سے شامل ہوں۔ یہ ایک سپورٹو کمیونٹی ہے جہاں سوالات خوش آمدید ہیں اور علم آزادانہ طور پر شیئر کیا جاتا ہے۔
اگر آپ پھنس جائیں یا AI ایپس بنانے کے بارے میں کوئی سوال ہو، تو ساتھ پڑھنے والے اور تجربہ کار ڈویلپرز کے ساتھ MCP پر گفتگو میں شامل ہوں۔ یہ ایک معاون کمیونٹی ہے جہاں سوالات کا خیرمقدم کیا جاتا ہے اور علم آزادانہ طور پر شیئر کیا جاتا ہے۔
[![Microsoft Foundry 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)
اگر آپ کو پروڈکٹ فیڈ بیک یا تعمیر کے دوران خرابیوں کا سامنا ہو تو زیل میں جائیں:
اگر آپ کو پروڈکٹ میں رائے یا تعمیر کے دوران غلطیاں ملیں تو ملاحظہ کریں:
[![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)
---
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**ڈس کلیمر**:
اس دستاویز کا ترجمہ AI ترجمہ سروس [Co-op Translator](https://github.com/Azure/co-op-translator) کا استعمال کرتے ہوئے کیا گیا ہے۔ اگرچہ ہم درستگی کے لیے کوشاں ہیں، براہِ کرم اس بات کا خیال رکھیں کہ خودکار ترجموں میں غلطیاں یا غیر یقینی صورتحال ہو سکتی ہے۔ اصل دستاویز اپنی مادری زبان میں معتبر ماخذ سمجھی جانی چاہیے۔ اہم معلومات کے لیے پیشہ ور انسانی ترجمہ کی سفارش کی جاتی ہے۔ ہم اس ترجمے کے استعمال سے پیدا ہونے والے کسی بھی غلط فہمی یا غلط تشریح کے لیے ذمہ دار نہیں ہیں۔
**تردید**:
اس دستاویز کا ترجمہ AI ترجمہ سروس [Co-op Translator](https://github.com/Azure/co-op-translator) کے ذریعے کیا گیا ہے۔ اگرچہ ہم درستگی کے لیے کوشاں ہیں، براہ کرم آگاہ رہیں کہ خودکار تراجم میں غلطیاں یا کمی بیشی ہو سکتی ہے۔ اصل دستاویز اپنی مادری زبان میں ہی مستند ذریعہ سمجھا جانا چاہیے۔ اہم معلومات کے لیے پیشہ ور انسانی ترجمہ تجویز کیا جاتا ہے۔ ہم اس ترجمے کے استعمال سے پیدا ہونے والی کسی بھی غلط فہمی یا غلط تعبیر کے لیے ذمہ دار نہیں ہیں۔
<!-- CO-OP TRANSLATOR DISCLAIMER END -->

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@ -6,8 +6,8 @@
"language_code": "zh-CN"
},
"README.md": {
"original_hash": "75fe3383afc51eaa84b82ace619ffea7",
"translation_date": "2026-02-06T07:31:48+00:00",
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"source_file": "README.md",
"language_code": "zh-CN"
},
@ -89,6 +89,12 @@
"source_file": "lessons/1-Intro/assignment.md",
"language_code": "zh-CN"
},
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},
"lessons/2-Symbolic/README.md": {
"original_hash": "f9f06b266b8b2bfc6b8792ff2bb1bea4",
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@ -12,160 +12,168 @@
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
# 人工智能入门课程
# 人工智能初学者课程
|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
|:---:|
| AI入门 - _由 [@girlie_mac](https://twitter.com/girlie_mac) 绘制的思维导图_ |
| AI For Beginners - _作者 [@girlie_mac](https://twitter.com/girlie_mac) 的手绘笔记_ |
通过我们为期12周、共24课时的课程，探索**人工智能**（AI）的世界！课程包含实用课堂、测验和实验。内容适合初学者，涵盖 TensorFlow 和 PyTorch 等工具，以及人工智能伦理。
通过我们的12周、24课时课程探索**人工智能**（AI）的世界！课程包含实用课程、测验和实验。课程适合初学者，涵盖了TensorFlow和PyTorch等工具，以及人工智能伦理。
### 🌐 多语言支持
#### 通过 GitHub Action 支持（自动且始终保持最新）
#### 通过GitHub Action支持（自动且始终保持最新）
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[阿拉伯语](../ar/README.md) | [孟加拉语](../bn/README.md) | [保加利亚语](../bg/README.md) | [缅甸语](../my/README.md) | [中文（简体）](./README.md) | [中文（繁体，香港）](../zh-HK/README.md) | [中文（繁体，澳门）](../zh-MO/README.md) | [中文（繁体，台湾）](../zh-TW/README.md) | [克罗地亚语](../hr/README.md) | [捷克语](../cs/README.md) | [丹麦语](../da/README.md) | [荷兰语](../nl/README.md) | [爱沙尼亚语](../et/README.md) | [芬兰语](../fi/README.md) | [法语](../fr/README.md) | [德语](../de/README.md) | [希腊语](../el/README.md) | [希伯来语](../he/README.md) | [印地语](../hi/README.md) | [匈牙利语](../hu/README.md) | [印度尼西亚语](../id/README.md) | [意大利语](../it/README.md) | [日语](../ja/README.md) | [卡纳达语](../kn/README.md) | [韩语](../ko/README.md) | [立陶宛语](../lt/README.md) | [马来语](../ms/README.md) | [马拉雅拉姆语](../ml/README.md) | [马拉地语](../mr/README.md) | [尼泊尔语](../ne/README.md) | [尼日利亚皮钦语](../pcm/README.md) | [挪威语](../no/README.md) | [波斯语（法尔西语）](../fa/README.md) | [波兰语](../pl/README.md) | [葡萄牙语（巴西）](../pt-BR/README.md) | [葡萄牙语（葡萄牙）](../pt-PT/README.md) | [旁遮普语（古鲁穆奇文）](../pa/README.md) | [罗马尼亚语](../ro/README.md) | [俄语](../ru/README.md) | [塞尔维亚语（西里尔文）](../sr/README.md) | [斯洛伐克语](../sk/README.md) | [斯洛文尼亚语](../sl/README.md) | [西班牙语](../es/README.md) | [斯瓦希里语](../sw/README.md) | [瑞典语](../sv/README.md) | [他加禄语（菲律宾语）](../tl/README.md) | [泰米尔语](../ta/README.md) | [泰卢固语](../te/README.md) | [泰语](../th/README.md) | [土耳其语](../tr/README.md) | [乌克兰语](../uk/README.md) | [乌尔都语](../ur/README.md) | [越南语](../vi/README.md)
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](./README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-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](../fr/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)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-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)
> **想要本地克隆？**
> 该仓库包含50多种语言的翻译，显著增加下载大小。要跳过翻译文件，可使用 Sparse Checkout：
> **倾向于本地克隆？**
>
> 本仓库包含50多种语言的翻译，因此下载体积较大。若想无翻译克隆，请使用稀疏检出：
>
> **Bash / macOS / Linux:**
> ```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'
> ```
> 这样可更快速下载且包含完成课程所需的一切内容。
>
> **CMD (Windows):**
> ```cmd
> 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"
> ```
>
> 这样可以获得完成课程所需的全部内容，下载速度更快。
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**如果您希望支持更多翻译语言，详见 [这里](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
**如果您希望支持额外的翻译语言，支持的语言列表请见[这里](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
## 加入社区
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
## 你将学到什么
## 您将学到什么
**[课程思维导图](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
在本课程中，你将学习：
在本课程中，您将学习：
* 人工智能的不同方法，包括使用**知识表示**和推理的“传统”符号方法 ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))。
* **神经网络**和**深度学习**，这是现代人工智能的核心。我们将通过两大流行框架 [TensorFlow](http://Tensorflow.org) 和 [PyTorch](http://pytorch.org) 的代码示例，说明这些关键主题背后的概念。
* 用于处理图像和文本的**神经架构**。我们将涵盖近期模型，但可能在最新技术方面稍显不足。
* 较少流行的AI方法，如**遗传算法**和**多智能体系统**。
* 不同的人工智能方法，包括基于**知识表示**和推理的“传统”符号方法（[GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)）。
* 现代人工智能核心的**神经网络**和**深度学习**。我们将通过两个最受欢迎框架的代码示例（[TensorFlow](http://Tensorflow.org) 和 [PyTorch](http://pytorch.org)）来解释这些重要主题背后的概念。
* 处理图像和文本的**神经架构**。将涵盖近期模型，但对最前沿技术可能稍显不足。
* 不太常见的AI方法，如**遗传算法**和**多智能体系统**。
本课程不涵盖：
> [在我们的 Microsoft Learn 集合中查找本课程的所有额外资源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
> [查找本课程的所有额外资源，请访问我们的 Microsoft Learn 收藏](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* 关于**AI在商业中的应用**案例。推荐学习 Microsoft Learn 上的[面向商业用户的AI入门](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum)学习路径，或与[INSEAD](https://www.insead.edu/)合作开发的[AI 商业学院](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)。
* **经典机器学习**，可参见我们的[机器学习入门课程](http://github.com/Microsoft/ML-for-Beginners)。
* 使用**[认知服务](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**构建的实际 AI 应用。推荐从 Microsoft Learn 上的[视觉](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然语言处理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Azure OpenAI 服务的生成式 AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)**等模块入手。
* 特定的机器学习**云框架**，如 [Azure 机器学习](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) 或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。推荐使用学习路径 [使用 Azure 机器学习构建和运营机器学习解决方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 和 [使用 Azure Databricks 构建和运营机器学习解决方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum)。
* **对话式AI**和**聊天机器人**。有专门的[创建对话式 AI 解决方案](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum)学习路径，也可参考[这篇博客文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/)了解更多细节。
* 深度学习背后的**深层数学**。推荐 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 所著的[深度学习](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，该书也在线提供：[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
* 在**业务中应用AI**的商业案例。可以考虑学习Microsoft Learn上的 [面向业务用户的AI介绍](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) 学习路径，或微软与 [INSEAD](https://www.insead.edu/) 合作开发的 [AI商业学院](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)。
* **经典机器学习**，我们在 [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) 中有详细描述。
* 使用 **[认知服务](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** 构建的实际AI应用。推荐先学习 Microsoft Learn 中的 [视觉](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然语言处理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Azure OpenAI 服务的生成式AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 等模块。
* 特定的机器学习 **云框架**，如 [Azure 机器学习](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) 或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。可以参考 [使用 Azure 机器学习构建和运营机器学习解决方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 和 [使用 Azure Databricks 构建和运营机器学习解决方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) 学习路径。
* **对话式AI** 和 **聊天机器人**。另有单独的 [创建对话式AI解决方案](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) 学习路径，也可以参考 [这篇博客](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) 获得更多细节。
* 深度学习背后的**深层数学**。推荐参考 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 的《[Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)》，该书也可在线阅读：[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
对于云端 AI 相关的入门介绍，可考虑学习 [Azure 人工智能入门](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum)学习路径。
如果想轻松入门 _云端AI_ 主题，可以考虑学习 [在 Azure 上开始使用人工智能](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 学习路径。
# 内容
| | 课程链接 | PyTorch/Keras/TensorFlow | 实验 |
| | Lesson Link | PyTorch/Keras/TensorFlow | Lab |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [课程设置](./lessons/0-course-setup/setup.md) | [搭建开发环境](./lessons/0-course-setup/how-to-run.md) | |
| I | [**AI简介**](./lessons/1-Intro/README.md) | | |
| 01 | [AI简介与历史](./lessons/1-Intro/README.md) | - | - |
| II | **符号 AI** |
| 02 | [知识表示与专家系统](./lessons/2-Symbolic/README.md) | [专家系统](./lessons/2-Symbolic/Animals.ipynb) / [本体](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念图](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**神经网络介绍**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [感知机](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [笔记本](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [实验](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [多层感知机和创建我们自己的框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [笔记本](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [实验](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [框架简介（PyTorch/TensorFlow）及过拟合](./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) | [实验](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**计算机视觉**](./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)| [在 Microsoft Azure 上探索计算机视觉](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 0 | [课程环境设置](./lessons/0-course-setup/setup.md) | [设置您的开发环境](./lessons/0-course-setup/how-to-run.md) | |
| I | [**人工智能简介**](./lessons/1-Intro/README.md) | | |
| 01 | [人工智能介绍与历史](./lessons/1-Intro/README.md) | - | - |
| II | **符号人工智能** |
| 02 | [知识表示与专家系统](./lessons/2-Symbolic/README.md) | [专家系统](./lessons/2-Symbolic/Animals.ipynb) / [本体论](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念图](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**神经网络简介**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [感知器](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [笔记本](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [实验](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [多层感知器及自建框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [笔记本](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [实验](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [框架简介（PyTorch/TensorFlow）和过拟合](./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) | [实验](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**计算机视觉**](./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)| [探索 Microsoft Azure 上的计算机视觉](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [计算机视觉简介。OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [笔记本](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [实验](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [卷积神经网络](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN 结构](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [实验](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 07 | [卷积神经网络](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN 架构](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [实验](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [预训练网络与迁移学习](./lessons/4-ComputerVision/08-TransferLearning/README.md) 和 [训练技巧](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [实验](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [自动编码器和变分自编码器](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 09 | [自动编码器与变分自动编码器](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [生成对抗网络与艺术风格迁移](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [目标检测](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [实验](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [语义分割。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 | [**自然语言处理**](./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) | [在 Microsoft Azure 上探索自然语言处理](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [文本表示。袋模型/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 | [语义词嵌入。Word2Vec 和 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 | [语言建模。训练你自己的嵌入](./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) | [实验](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| V | [**自然语言处理**](./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) | [探索 Microsoft Azure 上的自然语言处理](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [文本表示。词袋模型/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 | [语义词向量。Word2Vec 和 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 | [语言建模。训练你自己的词向量](./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) | [实验](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [循环神经网络](./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 | [生成式循环网络](./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) | [实验](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [变换器。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) | |
| 17 | [生成循环网络](./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) | [实验](./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 | [命名实体识别](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [实验](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [大型语言模型，提示编程和少样本任务](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| 20 | [大型语言模型，提示编程与少样本任务](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **其他 AI 技术** || |
| 21 | [遗传算法](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [笔记本](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [深度强化学习](./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) | [实验](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [多智能体系统](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **AI 伦理** | | |
| 24 | [AI 伦理与负责任的 AI](./lessons/7-Ethics/README.md) | [Microsoft Learn：负责任的 AI 原则](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **额外内容** | | |
| 25 | [多模态网络，CLIP 和 VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [笔记本](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## 每节课程内容
| 24 | [AI 伦理与负责任 AI](./lessons/7-Ethics/README.md) | [Microsoft Learn：负责任 AI 原则](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **附加内容** | | |
| 25 | [多模态网络，CLIP 与 VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [笔记本](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## 每节课包含
* 预读材料
* 可执行的 Jupyter 笔记本，通常针对特定框架（**PyTorch** 或 **TensorFlow**）。这些可执行笔记本也包含大量理论材料，因此要理解主题，你需要至少通读其中一个版本的笔记本（PyTorch 或 TensorFlow）。
* 部分主题提供 **实验**，给你机会尝试将学到的知识应用于具体问题。
* 部分章节包含链接到涵盖相关主题的[**微软学习**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)模块。
* 可执行的 Jupyter 笔记本，通常针对特定框架（**PyTorch** 或 **TensorFlow**）。可执行笔记本还包含大量理论材料，因此要理解主题，您需要至少阅读一个版本的笔记本（PyTorch 或 TensorFlow）。
* 一些主题提供 **实验室**，让您有机会将所学内容应用到具体问题中。
* 部分章节包含指向涵盖相关主题的 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 模块的链接。
## 入门指南
### 🎯 AI 新手？从这里开始！
如果你对 AI 完全陌生，想要快速、动手的示例，请查看我们的[**初学者友好示例**](./examples/README.md)！其中包括：
如果您是 AI 完全新手且想要快速的动手示例，请查看我们的 [**初学者友好示例**](./examples/README.md)！其中包括：
- 🌟 **Hello AI World** - 你的第一个 AI 程序（模式识别）
- 🌟 **Hello AI World** - 您的第一个 AI 程序（模式识别）
- 🧠 **简单神经网络** - 从零构建神经网络
- 🖼️ **图像分类器** - 带有详细注释的图像分类
- 💬 **文本情感分析** - 分析文本的积极/消极情感
- 🖼️ **图像分类器** - 使用详细注释对图像进行分类
- 💬 **文本情感分析** - 分析文本的正面/负面情感
这些示例旨在帮助你理解 AI 概念，然后再深入完整的课程内容。
这些示例旨在帮助您理解 AI 概念，然后再深入完整课程。
### 📚 完整课程设置
- 我们创建了一个 [安装课程](./lessons/0-course-setup/setup.md) 来帮助你设置开发环境。
- 对于教育者，我们还创建了一个[课程设置指导](./lessons/0-course-setup/for-teachers.md)！
- 如何[在 VSCode 或 Codespace 中运行代码](./lessons/0-course-setup/how-to-run.md)
- 我们创建了一个 [环境设置课程](./lessons/0-course-setup/setup.md)，帮助您搭建开发环境。
- 面向教育者，我们也创建了一个 [课程设置指导](./lessons/0-course-setup/for-teachers.md)！
- 了解如何在 VSCode 或 Codespace 中 [运行代码](./lessons/0-course-setup/how-to-run.md)
请按照以下步骤操作：
请按以下步骤操作：
派生仓库：点击本页右上角的“Fork”按钮。
Fork 仓库：点击本页面右上角的“Fork”按钮。
克隆仓库：`git clone https://github.com/microsoft/AI-For-Beginners.git`
别忘了给该仓库加星（🌟），以后更容易找到。
别忘了给该仓库点星 (🌟)，方便以后查找。
## 认识其他学习者
加入我们的[官方 AI Discord 服务器](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)，结识和交流同样在学习本课程的其他学习者，获得支持。
加入我们的[官方 AI Discord 服务器](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)，与正在学习本课程的其他学习者交流与建立联系，获得帮助支持。
如果你在构建过程中有产品反馈或问题，访问我们的 [Azure AI Foundry 开发者论坛](https://aka.ms/foundry/forum)
如果在构建中有产品反馈或问题，请访问我们的 [Azure AI Foundry 开发者论坛](https://aka.ms/foundry/forum)
## 测验
> **关于测验说明**：所有测验都包含在 etc\quiz-app 下的 Quiz-app 文件夹中，或可在[此处在线访问](https://ff-quizzes.netlify.app/)。测验链接嵌入在课程内容中，该测验应用可本地运行或部署到 Azure；请遵循 `quiz-app` 文件夹中的说明。测验正在逐步本地化。
> **关于测验的说明**：所有测验文件均在 etc\quiz-app 的 Quiz-app 文件夹中，或可[在线访问](https://ff-quizzes.netlify.app/)。它们链接于课程中，测验应用可在本地运行或部署到 Azure；请按照 `quiz-app` 文件夹中的说明操作。测验正在逐步本地化。
## 需要帮助
你有建议或发现拼写或代码错误吗？请提出 issue 或创建拉取请求。
您有建议或发现拼写或代码错误？请提出问题或创建拉取请求。
## 特别感谢
* **✍️ 主要作者：** [Dmitry Soshnikov](http://soshnikov.com)，博士
* **🔥 编辑员：** [Jen Looper](https://twitter.com/jenlooper)，博士
* **🎨 手绘插画师：** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ 测验作者：** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 核心贡献者：** [Evgenii Pishchik](https://github.com/Pe4enIks)
* **✍️ 主要作者：** [Dmitry Soshnikov](http://soshnikov.com)，博士
* **🔥 编辑：** [Jen Looper](https://twitter.com/jenlooper)，博士
* **🎨 速写插画师：** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ 测验创建者：** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 核心贡献者：** [Evgenii Pishchik](https://github.com/Pe4enIks)
## 其他课程
我们的团队还制作了其他课程！查看：
我们的团队还制作了其他课程！敬请查看：
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
@ -181,7 +189,7 @@
[![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)
---
### 生成式 AI 系列
[![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)
@ -189,7 +197,7 @@
[![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)
---
### 核心学习
[![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)
@ -200,7 +208,7 @@
[![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)
---
### Copilot 系列
[![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)
@ -209,11 +217,11 @@
## 获取帮助
如果你遇到困难或在构建 AI 应用时有任何问题，加入 MCP 讨论区与其他学习者和经验丰富的开发者一起交流。这里是一个支持性社区，欢迎提问并自由分享知识。
如果您在构建 AI 应用时遇到困难或有任何疑问，欢迎加入学习者和资深开发者一起讨论 MCP 的社区。这里是一个支持性强的社区，鼓励提问并自由分享知识。
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
如果你在构建过程中有产品反馈或遇到错误，访问：
如有产品反馈或构建中遇到错误，请访问：
[![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)
@ -221,5 +229,5 @@
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**免责声明**：
本文件由 AI 翻译服务 [Co-op Translator](https://github.com/Azure/co-op-translator) 翻译而成。我们尽力保证翻译的准确性，但请注意，自动翻译可能存在错误或不准确之处。以原始语言版本文件为权威依据。对于重要信息，建议采用专业人工翻译。因使用本翻译而产生的任何误解或误读，本公司概不负责。
本文件采用人工智能翻译服务 [Co-op Translator](https://github.com/Azure/co-op-translator) 进行翻译。尽管我们努力确保准确性，但请注意，自动翻译可能存在错误或不准确之处。原始文件的母语版本应视为权威来源。对于关键信息，建议使用专业人工翻译。因使用本翻译而产生的任何误解或误译，我们不承担任何责任。
<!-- CO-OP TRANSLATOR DISCLAIMER END -->

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[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
# 人工智能初學者教學大綱
# 人工智能初學者 - 課程綱要
|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)|
|:---:|
| AI For Beginners - _由 [@girlie_mac](https://twitter.com/girlie_mac) 繪製的手繪筆記_ |
| AI 初學者 - _手繪筆記由 [@girlie_mac](https://twitter.com/girlie_mac) 提供_ |
探索**人工智能**（AI）世界，透過我們的12週、24課教學大綱！包含實務課程、小測驗及實驗室。課程對初學者友好，涵蓋 TensorFlow、PyTorch 等工具，以及 AI 倫理
以我們12週、24課程的綱要，一同探索**人工智能**（AI）的世界！內容包含實作課程、小測驗和實驗室。此課程為初學者設計，涵蓋 TensorFlow 和 PyTorch 等工具，以及AI倫理。
### 🌐 多語言支援
#### 透過 GitHub Action 支援（自動化且總是最新）
#### 透過 GitHub Action 支援（自動且永遠保持最新）
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
[阿拉伯文](../ar/README.md) | [孟加拉文](../bn/README.md) | [保加利亞文](../bg/README.md) | [緬甸語](../my/README.md) | [中文（簡體）](../zh-CN/README.md) | [中文（繁體，香港）](../zh-HK/README.md) | [中文（繁體，澳門）](./README.md) | [中文（繁體，臺灣）](../zh-TW/README.md) | [克羅地亞文](../hr/README.md) | [捷克文](../cs/README.md) | [丹麥文](../da/README.md) | [荷蘭文](../nl/README.md) | [愛沙尼亞文](../et/README.md) | [芬蘭文](../fi/README.md) | [法文](../fr/README.md) | [德文](../de/README.md) | [希臘文](../el/README.md) | [希伯來文](../he/README.md) | [印地文](../hi/README.md) | [匈牙利文](../hu/README.md) | [印度尼西亞文](../id/README.md) | [意大利文](../it/README.md) | [日文](../ja/README.md) | [卡納達文](../kn/README.md) | [韓文](../ko/README.md) | [立陶宛文](../lt/README.md) | [馬來文](../ms/README.md) | [馬拉雅拉姆文](../ml/README.md) | [馬拉地文](../mr/README.md) | [尼泊爾文](../ne/README.md) | [奈及利亞洋泾浜语](../pcm/README.md) | [挪威文](../no/README.md) | [波斯文 (法爾西語)](../fa/README.md) | [波蘭文](../pl/README.md) | [葡萄牙文（巴西）](../pt-BR/README.md) | [葡萄牙文（葡萄牙）](../pt-PT/README.md) | [旁遮普文（Gurmukhi）](../pa/README.md) | [羅馬尼亞文](../ro/README.md) | [俄文](../ru/README.md) | [塞爾維亞文（西里爾字母）](../sr/README.md) | [斯洛伐克文](../sk/README.md) | [斯洛文尼亞文](../sl/README.md) | [西班牙文](../es/README.md) | [斯瓦希里文](../sw/README.md) | [瑞典文](../sv/README.md) | [他加祿文（菲律賓文）](../tl/README.md) | [泰米爾文](../ta/README.md) | [泰盧固文](../te/README.md) | [泰文](../th/README.md) | [土耳其文](../tr/README.md) | [烏克蘭文](../uk/README.md) | [烏爾都文](../ur/README.md) | [越南文](../vi/README.md)
[阿拉伯語](../ar/README.md) | [孟加拉語](../bn/README.md) | [保加利亞語](../bg/README.md) | [緬甸語 (緬甸)](../my/README.md) | [中文 (簡體)](../zh-CN/README.md) | [中文 (繁體，香港)](../zh-HK/README.md) | [中文 (繁體，澳門)](./README.md) | [中文 (繁體，臺灣)](../zh-TW/README.md) | [克羅地亞語](../hr/README.md) | [捷克語](../cs/README.md) | [丹麥語](../da/README.md) | [荷蘭語](../nl/README.md) | [愛沙尼亞語](../et/README.md) | [芬蘭語](../fi/README.md) | [法語](../fr/README.md) | [德語](../de/README.md) | [希臘語](../el/README.md) | [希伯來語](../he/README.md) | [印地語](../hi/README.md) | [匈牙利語](../hu/README.md) | [印尼語](../id/README.md) | [義大利語](../it/README.md) | [日語](../ja/README.md) | [坎納達語](../kn/README.md) | [韓語](../ko/README.md) | [立陶宛語](../lt/README.md) | [馬來語](../ms/README.md) | [馬拉雅拉姆語](../ml/README.md) | [馬拉地語](../mr/README.md) | [尼泊爾語](../ne/README.md) | [奈及利亞皮欽語](../pcm/README.md) | [挪威語](../no/README.md) | [波斯語 (法爾西)](../fa/README.md) | [波蘭語](../pl/README.md) | [葡萄牙語 (巴西)](../pt-BR/README.md) | [葡萄牙語 (葡萄牙)](../pt-PT/README.md) | [旁遮普語 (古魯穆奇)](../pa/README.md) | [羅馬尼亞語](../ro/README.md) | [俄語](../ru/README.md) | [塞爾維亞語 (西里爾字母)](../sr/README.md) | [斯洛伐克語](../sk/README.md) | [斯洛維尼亞語](../sl/README.md) | [西班牙語](../es/README.md) | [斯瓦希里語](../sw/README.md) | [瑞典語](../sv/README.md) | [他加祿語 (菲律賓語)](../tl/README.md) | [泰米爾語](../ta/README.md) | [泰盧固語](../te/README.md) | [泰語](../th/README.md) | [土耳其語](../tr/README.md) | [烏克蘭語](../uk/README.md) | [烏爾都語](../ur/README.md) | [越南語](../vi/README.md)
> **傾向於本地克隆？**
> 此倉庫包含超過50種語言翻譯，因此下載大小會大幅增加。若要不包含翻譯克隆，請使用稀疏檢出：
> **想要在本機端克隆？**
>
> 本儲存庫含有50多種語言翻譯，會大幅增加下載大小。要下載無翻譯版本，請使用稀疏簽出：
>
> **Bash / macOS / Linux:**
> ```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'
> ```
> 這樣你可更快完成課程下載所需的所有內容。
>
> **CMD (Windows):**
> ```cmd
> 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"
> ```
>
> 這能以更快速的速度下載，並包含你完成課程所需的所有內容。
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
**若您希望支援更多翻譯語言，請參考此處清單 [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
**如果你希望支持其他翻譯語言，請參閱[這裡](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
## 加入社群
[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
## 你將學到的
## 你將學到的內容
**[課程心智圖](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
在本教學大綱中，你將學習：
在本課程中，你將學習：
* 不同的人工智能方法，包括傳統的符號方法，使用**知識表示**和推理（[GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)）。
* 現代 AI 核心的**神經網絡**和**深度學習**。我們會用兩個最受歡迎的框架 - [TensorFlow](http://Tensorflow.org)和[PyTorch](http://pytorch.org)的程式碼來說明這些重要主題背後的概念。
* 處理影像與文字的**神經架構**。涵蓋近期模型，但可能略缺最新尖端技術。
* 較不流行的 AI 方法，如**遺傳算法**和**多代理系統**。
* 不同的人工智能方法，包括「老派」的符號方法，搭配**知識表示**和推理（[GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)）。
* 位於現代AI核心的**神經網絡**和**深度學習**。我們將用市場上兩個最受歡迎的框架——[TensorFlow](http://Tensorflow.org)和[PyTorch](http://pytorch.org)的程式碼說明這些重要主題背後的概念。
* 處理影像和文字的**神經網路架構**。我們會涵蓋近代模型，但可能會略缺乏最新技術。
* 較少人使用的AI方法，例如**遺傳算法**和**多智能體系統**。
本教學大綱不涵蓋：
本課程不涵蓋的部分：
> [在我們的 Microsoft Learn 合集中找到本課程的所有額外資源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
> [在我們的 Microsoft Learn 系列中找更多本課程的額外資源](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
* 使用 **AI 在商業上的案例**。建議可參考 Microsoft Learn 的 [商業用戶 AI 入門](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum)課程路徑，或與 [INSEAD](https://www.insead.edu/) 合作開發的 [AI 商業學院](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)。
* **傳統機器學習**，可參考我們的 [機器學習入門教學大綱](http://github.com/Microsoft/ML-for-Beginners)。
* 使用 **[認知服務](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** 建立的實務 AI 應用。建議從 Microsoft Learn 的 [視覺](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然語言處理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Azure OpenAI 服務的生成式 AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** 等模組開始。
* 特定機器學習的 **雲端框架**，例如 [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) 或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。建議使用 [利用 Azure Machine Learning 建立及運作機器學習解決方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) 和 [利用 Azure Databricks 建立與運作機器學習解決方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum)課程路徑。
* **對話式 AI** 和 **聊天機器人**。這方面有獨立的 [建立對話式 AI 解決方案](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum)課程路徑，也可參考[此部落格文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/)了解更多細節。
* 深度學習背後的 **深奧數學**。推薦使用 Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 的著作 [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，該書線上版本也可於 [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) 取得。
* **企業AI**的商業案例。建議可參加 Microsoft Learn 上的[商業用戶 AI 入門](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum)學習路徑，或與[INSEAD](https://www.insead.edu/)合作開發的[AI 商業學院](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum)。
* **經典機器學習**，詳細說明請見我們[機器學習初學者課程](http://github.com/Microsoft/ML-for-Beginners)。
* 使用**[認知服務](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**構建的實際AI應用。建議你從 Microsoft Learn 的[視覺](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)、[自然語言處理](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)、**[Azure OpenAI 服務的生成式 AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)**等模組開始。
* 特定的機器學習**雲端框架**，如 [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)、或 [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)。建議參考[使用 Azure Machine Learning 構建並操作機器學習解決方案](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum)及[使用 Azure Databricks 構建與操作機器學習解決方案](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum)學習路徑。
* **對話式AI**和**聊天機器人**。另有[建立對話式AI解決方案](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum)學習路徑，更多細節可參閱[這篇部落格文章](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/)。
* **深度學習的數學基礎**。建議閱讀 Ian Goodfellow、Yoshua Bengio 與 Aaron Courville 所著的[深度學習](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618)，該書也可線上閱讀於[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/)。
想溫和入門 _AI 雲端化_ 主題，可以參考 [Azure 上的人工智能入門](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) 學習路徑。
若想輕鬆入門_雲端人工智能_，可考慮參加[在 Azure 上開始人工智能之旅](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum)學習路徑。
# 內容
| | 課程連結 | PyTorch/Keras/TensorFlow | 實驗室 |
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
| 0 | [課程設定](./lessons/0-course-setup/setup.md) | [設定你的開發環境](./lessons/0-course-setup/how-to-run.md) | |
| I | [**AI 簡介**](./lessons/1-Intro/README.md) | | |
| 0 | [課程設置](./lessons/0-course-setup/setup.md) | [設定開發環境](./lessons/0-course-setup/how-to-run.md) | |
| I | [**人工智能導論**](./lessons/1-Intro/README.md) | | |
| 01 | [人工智能介紹與歷史](./lessons/1-Intro/README.md) | - | - |
| II | **符號式 AI** |
| II | **符號式人工智能** |
| 02 | [知識表示與專家系統](./lessons/2-Symbolic/README.md) | [專家系統](./lessons/2-Symbolic/Animals.ipynb) / [本體論](./lessons/2-Symbolic/FamilyOntology.ipynb) /[概念圖](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
| III | [**神經網絡介紹**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [感知機](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [筆記本](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [實驗室](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [多層感知機與自建框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [筆記本](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [實驗室](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [框架簡介（PyTorch/TensorFlow）與過擬合](./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) | [實驗室](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**電腦視覺**](./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)| [在 Microsoft Azure 探索電腦視覺](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [電腦視覺入門。OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [筆記本](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [實驗室](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [捲積神經網絡](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN 架構](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [實驗室](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| III | [**神經網絡簡介**](./lessons/3-NeuralNetworks/README.md) |||
| 03 | [感知器](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [筆記本](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [實驗室](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
| 04 | [多層感知器及創建我們自己的框架](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [筆記本](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [實驗室](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
| 05 | [框架介紹 (PyTorch/TensorFlow) 與過擬合](./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) | [實驗室](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
| IV | [**電腦視覺**](./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)| [於 Microsoft Azure 探索電腦視覺](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
| 06 | [電腦視覺簡介。OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [筆記本](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [實驗室](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
| 07 | [卷積神經網絡](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN 架構](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [實驗室](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
| 08 | [預訓練網絡與遷移學習](./lessons/4-ComputerVision/08-TransferLearning/README.md) 和 [訓練技巧](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [實驗室](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
| 09 | [自動編碼器和變分自動編碼器](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
| 10 | [生成對抗網絡與藝術風格轉換](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [物件偵測](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [實驗室](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 09 | [自編碼器與變分自編碼器（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 | [生成對抗網絡與藝術風格轉移](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
| 11 | [物件檢測](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [實驗室](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
| 12 | [語義分割。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 | [**自然語言處理**](./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) | [在 Microsoft Azure 探索自然語言處理](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [文本表示。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 | [語義詞嵌入。Word2Vec 和 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 | [語言模型。訓練自有詞嵌入](./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) | [實驗室](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| V | [**自然語言處理**](./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) | [於 Microsoft Azure 探索自然語言處理](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
| 13 | [文本表示。詞袋模型/ 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 | [語義詞嵌入。Word2Vec 與 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 | [語言建模。訓練你自己的詞嵌入](./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) | [實驗室](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
| 16 | [循環神經網絡](./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 | [生成型循環網絡](./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) | [實驗室](./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) | |
| 17 | [生成循環網絡](./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) | [實驗室](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
| 18 | [變壓器。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 | [命名實體識別](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [實驗室](./lessons/5-NLP/19-NER/lab/README.md) |
| 20 | [大型語言模型、提示程式設計與少量示範任務](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **其他 AI 技術** || |
| 20 | [大型語言模型、提示程式設計及少量示例任務](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
| VI | **其他人工智能技術** || |
| 21 | [遺傳算法](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [筆記本](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
| 22 | [深度強化學習](./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) | [實驗室](./lessons/6-Other/22-DeepRL/lab/README.md) |
| 23 | [多智能體系統](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
| VII | **AI 倫理** | | |
| 24 | [AI 倫理與負責任的 AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: 負責任 AI 原則](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **額外資源** | | |
| VII | **人工智能倫理** | | |
| 24 | [人工智能倫理與負責任的人工智能](./lessons/7-Ethics/README.md) | [Microsoft Learn: 負責任的人工智能原則](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
| IX | **附加內容** | | |
| 25 | [多模態網絡、CLIP 與 VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [筆記本](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
## 每個課程包含
## 每課包含
* 預閱讀材料
* 可執行的 Jupyter 筆記本，通常專門針對框架（**PyTorch** 或 **TensorFlow**）。可執行的筆記本還包含大量理論材料，因此要理解主題，您需要瀏覽至少一個版本的筆記本（PyTorch 或 TensorFlow 其中之一）。
* 為部分主題提供的 **實驗室**，讓您有機會嘗試將所學應用於具體問題。
* 某些章節包含指向涵蓋相關主題的 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 模組的連結。
* 預讀材料
* 可執行的 Jupyter 筆記本，通常專門針對某個框架（**PyTorch** 或 **TensorFlow**）。這些可執行筆記本也包含大量理論材料，因此要理解主題，需至少完成一種版本的筆記本（PyTorch 或 TensorFlow）。
* 部分主題附有 **實驗室**，讓你有機會嘗試將所學套用到具體問題中。
* 部分章節包含指向涵蓋相關主題的 [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) 模組的連結。
## 開始使用
## 開始
### 🎯 AI 新手？從這裡開始！
### 🎯 對 AI 完全陌生？從這裡開始！
如果您完全是 AI 新手並想要快速上手實作範例，請查看我們的 [**初學者友好範例**](./examples/README.md)！這些包含：
如果你是 AI 新手，想要快速的實作範例，請查看我們的 [**初學者友好範例**](./examples/README.md)！其中包括：
- 🌟 **Hello AI World** - 您的第一個 AI 程式（模式識別）
- 🧠 **簡單神經網絡** - 從零開始建立神經網絡
- 🖼️ **影像分類器** - 用詳盡注解進行影像分類
- 💬 **文字情感分析** - 分析正面/負面文字
- 🌟 **Hello AI 世界** - 你的第一個 AI 程式（模式識別）
- 🧠 **簡單神經網絡** - 從零開始構建神經網絡
這些範例旨在幫助您理解 AI 概念，為深入完整課程做準備。
- 🖼️ **圖像分類器** - 對圖片進行分類並附上詳細註解
- 💬 **文本情感分析** - 分析正面/負面文本
### 📚 完整課程設置
這些範例旨在幫助你在深入完整課程之前理解 AI 概念。
- 我們已製作了一個 [設置課程](./lessons/0-course-setup/setup.md) 幫助您完成開發環境設置。
- 對於教育工作者，我們同時準備了 [課程設置指南](./lessons/0-course-setup/for-teachers.md)！
- 如何在 VSCode 或 Codespace 中 [執行程式碼](./lessons/0-course-setup/how-to-run.md)
### 📚 完整課程設置
請依照下列步驟：
- 我們已製作了一個[設置課程](./lessons/0-course-setup/setup.md)，幫助你配置開發環境。
- 對於教育工作者，我們也準備了一個[課程設置教學](./lessons/0-course-setup/for-teachers.md)！
- 如何在 VSCode 或 Codespace 中[執行程式碼](./lessons/0-course-setup/how-to-run.md)
Fork 儲存庫：點擊頁面右上角的「Fork」按鈕。
請依照以下步驟操作：
Clone 儲存庫：`git clone https://github.com/microsoft/AI-For-Beginners.git`
Fork 倉庫：點擊本頁右上角的「Fork」按鈕。
別忘了為此儲存庫點亮星星 (🌟)，方便日後快速找到。
Clone 倉庫：`git clone https://github.com/microsoft/AI-For-Beginners.git`
## 認識其他學習者
別忘了給這個 repo 收藏星星 (🌟)，方便之後快速找到。
加入我們的 [官方 AI Discord 伺服器](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)，在裡面結識並與其他正在學習此課程的人交流，並獲取支援。
## 認識其他學習者
如果您在構建過程中有產品意見或疑問，歡迎訪問我們的 [Azure AI Foundry 開發者論壇](https://aka.ms/foundry/forum)。
加入我們的[官方 AI Discord 伺服器](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum)，與正在參與本課程的其他學習者交流並獲得支援。
## 測驗
如果在建置過程中有產品回饋或問題，歡迎到我們的[Azure AI Foundry 開發者論壇](https://aka.ms/foundry/forum)討論。
> **關於測驗的說明**：所有測驗均包含在 etc\quiz-app 資料夾下的 Quiz-app，或可在線使用 [連結](https://ff-quizzes.netlify.app/)。測驗會在課程中提供連結，測驗應用程式可在本機執行或部署至 Azure；請遵循 `quiz-app` 資料夾中的說明。測驗正在逐步進行本地化。
## 測驗
## 需要幫助
> **關於測驗的說明**：所有測驗均位於 etc\quiz-app 的 Quiz-app 資料夾中，或可透過[線上連結](https://ff-quizzes.netlify.app/)進行。
> 測驗連結均嵌在課程內容中，測驗應用可在本地執行或部署到 Azure；請參考 `quiz-app` 資料夾內的說明。測驗也正陸續進行在地化。
您有建議或發現拼寫或程式碼錯誤嗎？歡迎提交問題單或建立拉取請求。
## 需要幫助
## 特別感謝
你有建議或發現拼寫、程式碼錯誤嗎？歡迎提出 Issue 或建立 Pull Request。
* **✍️ 主要作者：** [Dmitry Soshnikov](http://soshnikov.com)，博士
* **🔥 編輯：** [Jen Looper](https://twitter.com/jenlooper)，博士
* **🎨 筆記插畫師：** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ 測驗創作者：** [Lateefah Bello](https://github.com/CinnamonXI)，[MLSA](https://studentambassadors.microsoft.com/)
* **🙏 核心貢獻者：** [Evgenii Pishchik](https://github.com/Pe4enIks)
## 特別感謝
## 其他課程
* **✍️ 主要作者：** [Dmitry Soshnikov](http://soshnikov.com), 博士
* **🔥 編輯：** [Jen Looper](https://twitter.com/jenlooper), 博士
* **🎨 筆記插畫師：** [Tomomi Imura](https://twitter.com/girlie_mac)
* **✅ 測驗創作者：** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
* **🙏 核心貢獻者：** [Evgenii Pishchik](https://github.com/Pe4enIks)
## 其他課程
我們團隊還製作了其他課程！歡迎查看：
我們團隊還推出其他課程！請查看：
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
### LangChain
[![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)
[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
---
### LangChain
[![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)
[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
---
### Azure / Edge / MCP / Agents
[![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)
### Azure / Edge / MCP / Agents
[![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)
---
---
### 生成式 AI 系列
[![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)
### 生成式 AI 系列
[![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)
---
---
### 核心學習
[![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)
### 核心學習
[![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)
---
---
### Copilot 系列
[![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)
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
### Copilot 系列
[![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)
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
## 尋求協助
## 尋求協助
如果你在建置 AI 應用程式時卡住或有任何問題，加入 MCP 學員和資深開發者的討論。這是個支持性強的社群，歡迎提問並自由分享知識。
如果您卡住了或在構建 AI 應用時有任何問題，可以加入學習者和經驗豐富的開發者一起討論 MCP。這裡是個支持性的社群，歡迎任何提問，並自由分享知識。
[![Microsoft Foundry 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)
若在建置過程中有產品回饋或錯誤，歡迎訪問：
如果您在構建過程中有產品反饋或錯誤，請訪問：
[![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)
---
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
**免責聲明**：
本文件使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們致力於保證準確性，請注意自動翻譯可能包含錯誤或不準確之處。原始語言版本的文件應視為權威來源。對於重要資訊，建議採用專業人工翻譯。我們不對因使用本翻譯所引起的任何誤解或曲解承擔責任。
**免責聲明**：
本文件使用人工智能翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。雖然我們努力確保準確性，但請注意自動翻譯可能包含錯誤或不準確之處。原始文件的原文版本應被視為權威來源。對於重要資訊，建議採用專業人工翻譯。我們不對因使用此翻譯而引致的任何誤解或誤釋承擔責任。
<!-- CO-OP TRANSLATOR DISCLAIMER END -->

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