From 5382c21b43821c3d23a649cb8f712aba34413608 Mon Sep 17 00:00:00 2001 From: "localizeflow[bot]" Date: Mon, 6 Apr 2026 20:28:13 +0000 Subject: [PATCH] chore(i18n): sync translations with latest source changes (chunk 1/1, 6 changes) --- translations/he/.co-op-translator.json | 4 +- translations/he/README.md | 214 ++++++++++++------------- translations/id/.co-op-translator.json | 4 +- translations/id/README.md | 155 +++++++++--------- translations/vi/.co-op-translator.json | 4 +- translations/vi/README.md | 206 ++++++++++++------------ 6 files changed, 293 insertions(+), 294 deletions(-) diff --git a/translations/he/.co-op-translator.json b/translations/he/.co-op-translator.json index 71b1f085..f78921c5 100644 --- a/translations/he/.co-op-translator.json +++ b/translations/he/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "he" }, "README.md": { - "original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30", - "translation_date": "2026-02-28T09:13:03+00:00", + "original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b", + "translation_date": "2026-04-06T20:24:48+00:00", "source_file": "README.md", "language_code": "he" }, diff --git a/translations/he/README.md b/translations/he/README.md index 7c2f10b7..2d94c754 100644 --- a/translations/he/README.md +++ b/translations/he/README.md @@ -1,12 +1,12 @@ -[![GitHub license](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) -[![GitHub contributors](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) -[![GitHub issues](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) -[![GitHub pull-requests](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) +[![רישיון GitHub](https://img.shields.io/github/license/microsoft/AI-For-Beginners.svg)](https://github.com/microsoft/AI-For-Beginners/blob/main/LICENSE) +[![תורמים ב-GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) +[![נושאים ב-GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) +[![בקשות משיכה ב-GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![GitHub watchers](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![GitHub forks](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) -[![GitHub stars](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) +[![צופים ב-GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![מקלות המזלגות ב-GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![כוכבים ב-GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) @@ -14,22 +14,22 @@ # אינטליגנציה מלאכותית למתחילים - תוכנית לימודים -|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)| +|![סקצ׳נוט של @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)| |:---:| -| אינטליגנציה מלאכותית למתחילים - _סקצ׳נוט מאת [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _סקצ׳נוט מאת [@girlie_mac](https://twitter.com/girlie_mac)_ | -חקור את עולמו של **האינטליגנציה המלאכותית** (AI) עם תוכנית הלימודים שלנו המורכבת מ-12 שבועות ו-24 שיעורים! היא כוללת שיעורים מעשיים, חידונים ומעבדות. התוכנית ידידותית למתחילים ומכסה כלי עבודה כמו TensorFlow ו-PyTorch, וכן אתיקה ב-AI +גלו את העולם של **אינטליגנציה מלאכותית** (AI) עם תוכנית הלימודים שלנו לאורך 12 שבועות, הכוללת 24 שיעורים! התוכנית כוללת שיעורים מעשיים, חידונים ומעבדות. התוכנית ידידותית למתחילים וכוללת כלים כמו TensorFlow ו-PyTorch, כמו גם נושאים אתיים ב-AI. ### 🌐 תמיכה בריבוי שפות -#### נתמכת באמצעות GitHub Action (אוטומטית ותמיד מעודכנת) +#### נתמכת דרך פעולת GitHub (אוטומטית ותמיד מעודכנת) -[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](./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) +[ערבית](../ar/README.md) | [בנגלית](../bn/README.md) | [בולגרית](../bg/README.md) | [בורמזית (מיאנמר)](../my/README.md) | [סינית (מפושטת)](../zh-CN/README.md) | [סינית (מסורתית, הונג קונג)](../zh-HK/README.md) | [סינית (מסורתית, מקאו)](../zh-MO/README.md) | [סינית (מסורתית, טייוואן)](../zh-TW/README.md) | [קרואטית](../hr/README.md) | [צ׳כית](../cs/README.md) | [דנית](../da/README.md) | [הולנדית](../nl/README.md) | [אסטונית](../et/README.md) | [פינית](../fi/README.md) | [צרפתית](../fr/README.md) | [גרמנית](../de/README.md) | [יוונית](../el/README.md) | [עברית](./README.md) | [הינדי](../hi/README.md) | [הונגרית](../hu/README.md) | [אינדונזית](../id/README.md) | [איטלקית](../it/README.md) | [יפנית](../ja/README.md) | [קנדית](../kn/README.md) | [חמרית](../km/README.md) | [קוריאנית](../ko/README.md) | [ליטאית](../lt/README.md) | [מלאית](../ms/README.md) | [מלאיאלאם](../ml/README.md) | [מרטהי](../mr/README.md) | [נפאלית](../ne/README.md) | [ניגריאנית פידג׳ין](../pcm/README.md) | [נורווגית](../no/README.md) | [פרסית (פאורסי)](../fa/README.md) | [פולנית](../pl/README.md) | [פורטוגזית (ברזיל)](../pt-BR/README.md) | [פורטוגזית (פורטוגל)](../pt-PT/README.md) | [פנג׳אבית (ג׳ורמוכי)](../pa/README.md) | [רומנית](../ro/README.md) | [רוסית](../ru/README.md) | [סרבית (קירילית)](../sr/README.md) | [סלובקית](../sk/README.md) | [סלובנית](../sl/README.md) | [ספרדית](../es/README.md) | [סواحילית](../sw/README.md) | [שוודית](../sv/README.md) | [טאגאלוג (פיליפינית)](../tl/README.md) | [טמילית](../ta/README.md) | [טלווגו](../te/README.md) | [תאית](../th/README.md) | [טורקית](../tr/README.md) | [אוקראינית](../uk/README.md) | [אורדו](../ur/README.md) | [וייטנאמית](../vi/README.md) > **מעדיפים לשכפל מקומית?** > -> מאגר מידע זה כולל מעל 50 תרגומים בשפות שונות, מה שמגדיל משמעותית את גודל ההורדה. כדי לשכפל ללא תרגומים, השתמשו בביקורת ספסרית (sparse checkout): +> מאגר זה כולל למעלה מ-50 תרגומים לשפות שונות, מה שמגדיל משמעותית את גודל ההורדה. כדי לשכפל ללא תרגומים, השתמשו ב-sparse checkout: > > **Bash / macOS / Linux:** > ```bash @@ -45,10 +45,10 @@ > git sparse-checkout set --no-cone "/*" "!translations" "!translated_images" > ``` > -> זה נותן לכם את כל מה שצריך כדי להשלים את הקורס במהירות הורדה גבוהה יותר. +> כך תקבלו את כל מה שצריך כדי להשלים את הקורס עם הורדה מהירה יותר. -**אם תרצו שיתמכו בשפות תרגום נוספות, רשימת השפות הנתמכות מופיעה [כאן](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**אם תרצו לקבל תמיכה בשפות תרגום נוספות, הן רשומות [כאן](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## הצטרפו לקהילה [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) @@ -57,170 +57,170 @@ **[מפת חשיבה של הקורס](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -בתוכנית הלימודים הזו תלמדו: +בתוכנית לימודים זו תלמדו: -* גישות שונות לאינטליגנציה מלאכותית, כולל הגישה הסימבולית "הטובה הישנה" עם **ייצוג ידע** וניתוח ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **רשתות עצביות** ו**למידה עמוקה**, שהן בליבת ה-AI המודרני. נמחיש את המושגים מאחורי הנושאים החשובים הללו באמצעות קוד בשתי המסגרות הפופולריות ביותר - [TensorFlow](http://Tensorflow.org) ו-[PyTorch](http://pytorch.org). -* **ארכיטקטורות עצביות** לעבודה עם תמונות וטקסט. נסקור מודלים עדכניים אך ייתכן שהסקירה שלנו תהיה מעט חסרה ביחס למצב האמנות. -* גישות AI פחות פופולריות, כגון **אלגוריתמים גנטיים** ו**מערכות רב-סוכנים**. +* גישות שונות לאינטליגנציה מלאכותית, כולל הגישה הסימבולית "הטובה הישנה" עם **ייצוג ידע** והסקת מסקנות ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **רשתות עצביות** ו**למידה עמוקה**, שהן בליבת ה-AI המודרני. נסביר את המושגים שמאחורי הנושאים החשובים הללו באמצעות קוד בשני המסגרות הפופולריות ביותר - [TensorFlow](http://Tensorflow.org) ו-[PyTorch](http://pytorch.org). +* **מבנים עצביים** לעבודה עם תמונות וטקסט. נכסה דגמים עדכניים אך ייתכן שהם לא הכי מתקדמים כיום. +* גישות פחות פופולריות ב-AI, כגון **אלגוריתמים גנטיים** ו**מערכות רב-סוכניות**. -מה לא נכלול בתוכנית הלימודים הזו: +מה לא נכסה בתוכנית לימודים זו: > [מצאו את כל המשאבים הנוספים לקורס זה באוסף Microsoft Learn שלנו](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* מקרים עסקיים של שימוש ב**AI בעסקים**. מומלץ לשקול לקחת את מסלול הלמידה [מבוא ל-AI למשתמשי עסקים](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ב-Microsoft Learn, או את [בית הספר לעסקים של AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), שפותח בשיתוף עם [INSEAD](https://www.insead.edu/). -* **למידת מכונה קלאסית**, שמתוארת היטב בתוכנית הלימודים שלנו [למידת מכונה למתחילים](http://github.com/Microsoft/ML-for-Beginners). -* יישומי AI מעשיים שנבנו באמצעות **[שירותי קוגניציה](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. לצורך זה, אנו ממליצים להתחיל עם המודולים של Microsoft Learn עבור [ראייה](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [עיבוד שפה טבעית](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI גנרטיבי עם Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ואחרים. -* **מסגרות לענן ספציפיות ללמידת מכונה**, כגון [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), או [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). מומלץ להשתמש במסלולי הלמידה [בניית והפעלת פתרונות למידת מכונה עם Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ו-[בניית והפעלת פתרונות למידת מכונה עם Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **AI שיחתי** ו**בוטים שיחתיים**. יש מסלול למידה נפרד [יצירת פתרונות AI שיחתי](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), וניתן גם לעיין ב[פוסט בלוג זה](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) לפרטים נוספים. -* **מתמטיקה עמוקה** מאחורי למידה עמוקה. לשם כך, אנו ממליצים על הספר [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) מאת Ian Goodfellow, Yoshua Bengio ו-Aaron Courville, הזמין גם באינטרנט ב-[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* מקרים עסקיים של שימוש ב-**AI בעסקים**. מומלץ לקחת את מסלול הלמידה [מבוא ל-AI למשתמשי עסקים](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) ב-Microsoft Learn, או את [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), שפותח בשיתוף עם [INSEAD](https://www.insead.edu/). +* **למידת מכונה קלאסית**, המתוארת היטב בתוכנית הלימודים שלנו [למידת מכונה למתחילים](http://github.com/Microsoft/ML-for-Beginners). +* יישומי AI מעשיים המבוססים על **[שירותי קוגניציה](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. לשם כך, מומלץ להתחיל במודולים ב-Microsoft Learn ל[ראייה](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [עיבוד שפה טבעית](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI גנרטיבי עם Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ואחרים. +* **מסגרות ענן ספציפיות ללמידת מכונה**, כגון [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), או [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). מומלץ להשתמש במסלולי הלמידה [בניית פתרונות למידת מכונה עם Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ו[בניית והפעלת פתרונות למידת מכונה עם Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **AI שיחתי** ו**בוטים שיחתיים**. יש מסלול למידה נפרד [יצירת פתרונות AI שיחתי](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), וניתן גם להתייחס [לפוסט בלוג זה](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) לפרטים נוספים. +* **מתמטיקה עמוקה** מאחורי למידה עמוקה. לשם כך, ממליצים על הספר [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) מאת Ian Goodfellow, Yoshua Bengio ו-Aaron Courville, הזמין גם באינטרנט ב-[https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -לקבלת מבוא רך לנושאי _AI בענן_ אפשר לשקול לקחת את מסלול הלמידה [התחילו עם אינטליגנציה מלאכותית על Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +להיכרות עדינה עם נושאי _AI בענן_ תוכלו לשקול לקחת את מסלול הלמידה [התחילו עם אינטליגנציה מלאכותית ב-Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # תוכן -| | Lesson Link | PyTorch/Keras/TensorFlow | Lab | +| | קישור לשיעור | PyTorch/Keras/TensorFlow | מעבדה | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 0 | [הגדרת הקורס](./lessons/0-course-setup/setup.md) | [הגדרת סביבת הפיתוח שלך](./lessons/0-course-setup/how-to-run.md) | | | I | [**מבוא לאינטליגנציה מלאכותית**](./lessons/1-Intro/README.md) | | | | 01 | [מבוא והיסטוריה של AI](./lessons/1-Intro/README.md) | - | - | -| II | **אינטליגנציה מלאכותית סימבולית** | +| II | **AI סימבולי** | | 02 | [ייצוג ידע ומערכות מומחים](./lessons/2-Symbolic/README.md) | [מערכות מומחים](./lessons/2-Symbolic/Animals.ipynb) / [אונטולוגיה](./lessons/2-Symbolic/FamilyOntology.ipynb) /[גרף מושגים](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**מבוא לרשתות עצביות**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [פרסטרון](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [מחברת](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | | 04 | [פרסטרון רב-שכבתי ויצירת המסגרת שלנו](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [מחברת](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [מעבדה](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [מבוא למסגרות (PyTorch/TensorFlow) ולהתאמה-יתר](./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) | [מעבדה](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**חזון ממוחשב**](./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)| [חקור חזון ממוחשב ב-Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [מבוא לחזון ממוחשב. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [מחברת](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [מעבדה](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [רשתות עצביות קונבולוציה](./lessons/4-ComputerVision/07-ConvNets/README.md) & [ארכיטקטורות CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [מעבדה](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [רשתות מאומנות מראש ולמידת העברה](./lessons/4-ComputerVision/08-TransferLearning/README.md) ו[טריקים לאימון](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [מעבדה](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | -| 09 | [קידוד אוטומטי ו-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 | [רשתות GAN והעברת סגנון אומנותי](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 05 | [מבוא למסגרות (PyTorch/TensorFlow) והישרדות יתר](./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) | [מעבדה](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**ראייה ממוחשבת**](./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)| [חקור ראייה ממוחשבת ב-Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [מבוא לראייה ממוחשבת. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [מחברת](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [מעבדה](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [רשתות עצביות קונבולוציוניות](./lessons/4-ComputerVision/07-ConvNets/README.md) & [ארכיטקטורות CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [מעבדה](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [רשתות מאומנות מראש ולמידת העברה](./lessons/4-ComputerVision/08-TransferLearning/README.md) ו-[טיפים לאימון](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [מעבדה](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [אוטואנקודרים ו-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 | [רשתות מתחרות יצירתיות והעברת סגנון אמנותי](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [זיהוי אובייקטים](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [מעבדה](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [סגמנטציה סמנטית. 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 | [**עיבוד שפה טבעית**](./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) | [חקור עיבוד שפה טבעית ב-Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [ייצוג טקסט. 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 | [הטמעות מילים סמנטיות. Word2Vec ו-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 | [מודלי שפה. אימון הטמעות משלך](./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) | [מעבדה](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 15 | [דגמי שפה. אימון הטמעות משלך](./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) | [מעבדה](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 16 | [רשתות עצביות חוזרות](./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 | [רשתות חוזרות גנרטיביות](./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) | [מעבדה](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 17 | [רשתות חוזרות יצירתיות](./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) | [מעבדה](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [טרנספורמרים. 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 | [זיהוי ישויות שמיות](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [מעבדה](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [מודלי שפה גדולים, תכנות פקודות ומשימות עם מעט דוגמאות](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **שיטות נוספות של בינה מלאכותית** || | +| 19 | [זיהוי ישויות ושמות](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [מעבדה](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [דגמי שפה גדולים, תכנות הנחיות ומשימות מספר מועט](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **טכניקות AI נוספות** || | | 21 | [אלגוריתמים גנטיים](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [מחברת](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [למידת חיזוק עמוקה](./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) | [מעבדה](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [מערכות רב-סוכנים](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **אתיקה בבינה מלאכותית** | | | -| 24 | [אתיקה בבינה מלאכותית ובינה מלאכותית אחראית](./lessons/7-Ethics/README.md) | [Microsoft Learn: עקרונות בינה מלאכותית אחראית](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| VII | **אתיקה בינה מלאכותית** | | | +| 24 | [אתיקה ובינה מלאכותית אחראית](./lessons/7-Ethics/README.md) | [Microsoft Learn: עקרונות AI אחראי](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **תוספות** | | | | 25 | [רשתות מולטימודל, CLIP ו-VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [מחברת](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## כל שיעור מכיל -* חומר לקריאה מוקדמת -* מחברות Jupyter ניתנות להרצה, שלרוב מותאמות לסביבת העבודה (**PyTorch** או **TensorFlow**). המחברת הניתנת להרצה מכילה גם חומר תיאורטי רב, ולכן להבנת הנושא יש לעבור לפחות על גרסה אחת של המחברת (או PyTorch או TensorFlow). -* **מעבדות** זמינות בחלק מהנושאים, שמאפשרות לך לנסות ליישם את החומר שלמדת על בעיה ספציפית. -* חלק מהקטעים כוללים קישורים ל[**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) למודולים אשר עוסקים בנושאים קשורים. +## כל שיעור כולל +* חומר קריאה מוקדמת +* מחברות Jupyter ניתנות להרצה, שלעיתים ממוקדות במסגרת מסוימת (**PyTorch** או **TensorFlow**). מחברת הרצה מכילה גם הרבה חומר תיאורטי, לכן כדי להבין את הנושא יש לעבור לפחות על גרסה אחת של המחברת (או PyTorch או TensorFlow). +* **מעבדות** הזמינות לכמה נושאים, שמאפשרות לך לנסות ליישם את החומר שלמדת על בעיה ספציפית. +* חלק מהחלקים מכילים קישורים ל[**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) במודולים שמכסים נושאים קשורים. ## התחלה -### 🎯 חדש לבינה מלאכותית? התחל כאן! +### 🎯 חדש ב-AI? תתחיל כאן! -אם אתה חדש לחלוטין בבינה מלאכותית ורוצה דוגמאות מהירות עם יישום מעשי, בדוק את [**דוגמאות ידידותיות למתחילים**](./examples/README.md)! הן כוללות: +אם אתה חדש לגמרי ב-AI ורוצה דוגמאות מהירות ופרקטיות, בדוק את ה[**דוגמאות למתחילים**](./examples/README.md)! הן כוללות: -- 🌟 **שלום עולם AI** - התוכנית הראשונה שלך בבינה מלאכותית (זיהוי דפוסים) -- 🧠 **רשת נוירונים פשוטה** - בניית רשת עצבית מאפס -- 🖼️ **מסווג תמונות** - סיווג תמונות עם הסברים מפורטים -- 💬 **סנטימנט של טקסט** - ניתוח טקסט חיובי/שלילי +- 🌟 **היי עולם AI** - תוכנית ה-AI הראשונה שלך (זיהוי תבניות) +- 🧠 **רשת נוירונים פשוטה** - בניית רשת נוירונים מאפס +- 🖼️ **מסווג תמונות** - סיווג תמונות עם הערות מפורטות +- 💬 **סנטימנט טקסט** - ניתוח טקסט חיובי/שלילי -דוגמאות אלה נועדו לעזור לך להבין מושגים בבינה מלאכותית לפני שתצלול לתוכן הקורס המלא. +דוגמאות אלו נועדו לעזור לך להבין מושגי AI לפני שתצלול לתוך כל תוכנית הלימודים. -### 📚 הגדרת תכנית הלימודים המלאה +### 📚 הגדרת תוכנית לימודים מלאה -- יצרנו [שיעור הגדרה](./lessons/0-course-setup/setup.md) שיעזור לך להקים את סביבת הפיתוח שלך. - למורים יצרנו גם [שיעור הגדרת תכנית לימודים](./lessons/0-course-setup/for-teachers.md)! -- כיצד [להריץ את הקוד ב-VSCode או Codespace](./lessons/0-course-setup/how-to-run.md) +- יצרנו [שיעור התקנה](./lessons/0-course-setup/setup.md) שיעזור לך בהגדרת סביבת הפיתוח שלך. - למורים, יצאנו גם עם [שיעור הגדרת תוכנית לימודים](./lessons/0-course-setup/for-teachers.md)! +- איך [להריץ את הקוד ב-VSCode או ב-Codespace](./lessons/0-course-setup/how-to-run.md) -עקוב אחר הצעדים הבאים: +עקוב אחרי השלבים האלה: -צור פורק למאגר: לחץ על כפתור "Fork" בפינה הימנית העליונה של הדף הזה. +פצל את המאגר: לחץ על כפתור "Fork" בפינה הימנית עליונה של דף זה. שכפל את המאגר: `git clone https://github.com/microsoft/AI-For-Beginners.git` -אל תשכח לסמן בכוכב (🌟) את המאגר הזה כדי למצוא אותו בקלות מאוחר יותר. +אל תשכח לתת כוכב (🌟) למאגר הזה כדי למצוא אותו בקלות אחר כך. -## הכרת לומדים אחרים +## פגוש לומדים אחרים -הצטרף לשרת ה-Discord הרשמי שלנו ל-AI [‏כאן](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) כדי לפגוש וליצור קשר עם לומדים אחרים שלקחו את הקורס ולקבל תמיכה. +הצטרף לשרת ה-Discord הרשמי שלנו ל-AI: [https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) כדי לפגוש וליצור רשת עם לומדים נוספים שלוקחים קורס זה ולקבל תמיכה. -אם יש לך משוב על המוצר או שאלות בזמן הפיתוח בקר בפורום המפתחים של [Azure AI Foundry](https://aka.ms/foundry/forum) +אם יש לך משוב על המוצר או שאלות בזמן הבנייה בקר ב[פורום מפתחי Azure AI Foundry](https://aka.ms/foundry/forum) -## מבחנים +## חידונים -> **הערה לגבי המבחנים**: כל המבחנים נמצאים בתיקיית Quiz-app ב־etc\quiz-app, או [בפורמט מקוון כאן](https://ff-quizzes.netlify.app/). הם מקושרים מתוך השיעורים, אפליקציית המבחנים ניתנת להרצה מקומית או לפריסה ב-Azure; עקוב אחר ההוראות שבתיקיית `quiz-app`. המבחנים מתורגמים בהדרגה. +> **הערה על חידונים**: כל החידונים נמצאים בתיקיית Quiz-app ב-etc\quiz-app, או [קישור מקוון כאן](https://ff-quizzes.netlify.app/) הם מקושרים מתוך השיעורים. אפליקציית החידונים יכולה לפעול באופן מקומי או להיות מופצת ב-Azure; עקוב אחרי ההוראות בתיקיית `quiz-app`. הם בהדרגה מתורגמים. ## דרוש עזרה -האם יש לך הצעות או שמצאת טעויות כתיב או שגיאות בקוד? פתח נושא חדש או הגש Pull Request. +האם יש לך הצעות או שמצאת שגיאות באיות או בקוד? פתח בעיה או צור בקשת משיכה. ## תודה מיוחדת -* **✍️ מחבר ראשי:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 עורך:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 מאייר סקצ'נות:** [Tomomi Imura](https://twitter.com/girlie_mac) -* **✅ יוצר מבחנים:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 תורמים מרכזיים:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **✍️ מחבר ראשי:** [דמיטרי סושניקוב](http://soshnikov.com), דוקטורט +* **🔥 עורך:** [ג'ן לופר](https://twitter.com/jenlooper), דוקטורט +* **🎨 מאייר סקצ'נוט:** [טומומי אימורה](https://twitter.com/girlie_mac) +* **✅ יוצר חידונים:** [לטיפה בלו](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) +* **🙏 תורמים מרכזיים:** [איבגניי פישצ'יק](https://github.com/Pe4enIks) ## תכניות לימוד נוספות -הצוות שלנו מייצר תכניות לימוד נוספות! בדוק: +הצוות שלנו יוצר תכניות לימוד נוספות! בדוק: -### 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) --- - -### 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) + +### סדרת AI גנרטיבי +[![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) --- - -### 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) + +### למידה בסיסית +[![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 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) + +### סדרת Copilot +[![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) -## קבלת סיוע +## קבלת עזרה -אם נתקעת או יש לך שאלות לגבי פיתוח אפליקציות בינה מלאכותית. הצטרף ללומדים ומפתחים מנוסים בדיונים ב-MCP. זו קהילה תומכת שבה שאלות מתקבלות בשמחה וידע משתף בחופשיות. +אם נתקעת או יש לך שאלות לגבי בניית אפליקציות AI, הצטרף ללומדים נוספים ומפתחים מנוסים בדיונים על MCP. זוהי קהילה תומכת שבה שאלות מתקבלות בברכה והידע משותף בחופשיות. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -אם יש לך משוב על המוצר או שגיאות במהלך הפיתוח בקר ב: +אם יש לך משוב על מוצר או שגיאות בזמן הבנייה בקר ב: [![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) @@ -228,5 +228,5 @@ **כתב ויתור**: -מסמך זה תורגם באמצעות שירות תרגום בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדיוק, יש לקחת בחשבון שתרגומים אוטומטיים עלולים להכיל שגיאות או אי דיוקים. יש לראות במסמך המקורי בשפת המקור כמקור הסמכותי. למידע קריטי מומלץ לקבל תרגום מקצועי על ידי אדם. אנו לא נושאים באחריות לכל אי הבנה או פרשנות שגויה הנובעת משימוש בתרגום זה. +מסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדיוק, יש להיות מודעים לכך שתרגומים אוטומטיים עשויים להכיל שגיאות או אי-דיוקים. המסמך המקורי בשפת המקור שלו יש להיחשב כמקור הסמכותי. למידע קריטי מומלץ להשתמש בתרגום מקצועי אנושי. אנו לא אחראים על הבנות שגויות או פרשנויות שגויות הנובעות משימוש בתרגום זה. \ No newline at end of file diff --git a/translations/id/.co-op-translator.json b/translations/id/.co-op-translator.json index 65123c76..73da7703 100644 --- a/translations/id/.co-op-translator.json +++ b/translations/id/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "id" }, "README.md": { - "original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30", - "translation_date": "2026-02-28T09:16:06+00:00", + "original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b", + "translation_date": "2026-04-06T20:28:05+00:00", "source_file": "README.md", "language_code": "id" }, diff --git a/translations/id/README.md b/translations/id/README.md index 4986a5d6..762bad88 100644 --- a/translations/id/README.md +++ b/translations/id/README.md @@ -16,21 +16,21 @@ |![Sketchnote oleh @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)| |:---:| -| AI Untuk Pemula - _Sketchnote oleh [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _Sketchnote oleh [@girlie_mac](https://twitter.com/girlie_mac)_ | -Jelajahi dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajaran kami! Ini mencakup pelajaran praktis, kuis, dan lab. Kurikulum ini ramah pemula dan mencakup alat seperti TensorFlow dan PyTorch, serta etika dalam AI. +Jelajahi dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajaran kami! Ini mencakup pelajaran praktis, kuis, dan lab. Kurikulum ini ramah pemula dan mencakup alat-alat seperti TensorFlow dan PyTorch, serta etika dalam AI ### 🌐 Dukungan Multi-Bahasa -#### Didukung melalui GitHub Action (Otomatis & Selalu Terbarui) +#### Didukung melalui GitHub Action (Otomatis & Selalu Terbaru) -[Arab](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaria](../bg/README.md) | [Birma (Myanmar)](../my/README.md) | [Cina (Sederhana)](../zh-CN/README.md) | [Cina (Tradisional, Hong Kong)](../zh-HK/README.md) | [Cina (Tradisional, Macau)](../zh-MO/README.md) | [Cina (Tradisional, Taiwan)](../zh-TW/README.md) | [Kroasia](../hr/README.md) | [Ceko](../cs/README.md) | [Denmark](../da/README.md) | [Belanda](../nl/README.md) | [Estonia](../et/README.md) | [Finlandia](../fi/README.md) | [Prancis](../fr/README.md) | [Jerman](../de/README.md) | [Yunani](../el/README.md) | [Ibrani](../he/README.md) | [Hindi](../hi/README.md) | [Hongaria](../hu/README.md) | [Indonesia](./README.md) | [Italia](../it/README.md) | [Jepang](../ja/README.md) | [Kannada](../kn/README.md) | [Korea](../ko/README.md) | [Lituania](../lt/README.md) | [Melayu](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Pidgin Nigeria](../pcm/README.md) | [Norwegia](../no/README.md) | [Persia (Farsi)](../fa/README.md) | [Polandia](../pl/README.md) | [Portugis (Brasil)](../pt-BR/README.md) | [Portugis (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumania](../ro/README.md) | [Rusia](../ru/README.md) | [Serbia (Sirilik)](../sr/README.md) | [Slowakia](../sk/README.md) | [Slovenia](../sl/README.md) | [Spanyol](../es/README.md) | [Swahili](../sw/README.md) | [Swedia](../sv/README.md) | [Tagalog (Filipina)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turki](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnam](../vi/README.md) +[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](./README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Khmer](../km/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) -> **Lebih suka Cloning Secara Lokal?** +> **Lebih suka Clone Secara Lokal?** > -> Repositori ini berisi lebih dari 50 terjemahan bahasa yang secara signifikan meningkatkan ukuran unduhan. Untuk cloning tanpa terjemahan, gunakan sparse checkout: +> Repositori ini mencakup 50+ terjemahan bahasa yang secara signifikan meningkatkan ukuran unduhan. Untuk meng-clone tanpa terjemahan, gunakan sparse checkout: > > **Bash / macOS / Linux:** > ```bash @@ -46,10 +46,10 @@ Jelajahi dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajar > git sparse-checkout set --no-cone "/*" "!translations" "!translated_images" > ``` > -> Ini memberi Anda semua yang Anda butuhkan untuk menyelesaikan kursus dengan unduhan yang jauh lebih cepat. +> Ini memberi Anda semua yang Anda butuhkan untuk menyelesaikan kursus dengan unduhan yang lebih cepat. -**Jika Anda ingin agar bahasa terjemahan tambahan didukung, daftar bahasa yang didukung tersedia [di sini](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Jika Anda ingin mendukung tambahan bahasa terjemahan yang didukung, lihat daftar [di sini](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Bergabung dengan Komunitas [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) @@ -61,40 +61,40 @@ Jelajahi dunia **Kecerdasan Buatan** (AI) dengan kurikulum 12 minggu, 24 pelajar Dalam kurikulum ini, Anda akan mempelajari: * Pendekatan berbeda terhadap Kecerdasan Buatan, termasuk pendekatan simbolik "lama" dengan **Representasi Pengetahuan** dan penalaran ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Jaringan Saraf** dan **Pembelajaran Mendalam**, yang merupakan inti dari AI modern. Kami akan mengilustrasikan konsep di balik topik penting ini menggunakan kode dalam dua kerangka kerja paling populer - [TensorFlow](http://Tensorflow.org) dan [PyTorch](http://pytorch.org). -* **Arsitektur Neural** untuk bekerja dengan gambar dan teks. Kami akan membahas model terbaru namun mungkin agak kurang dalam hal paling mutakhir. +* **Jaringan Saraf** dan **Pembelajaran Mendalam**, yang merupakan inti dari AI modern. Kami akan mengilustrasikan konsep di balik topik penting ini menggunakan kode dalam dua framework paling populer - [TensorFlow](http://Tensorflow.org) dan [PyTorch](http://pytorch.org). +* **Arsitektur Saraf** untuk bekerja dengan gambar dan teks. Kami akan membahas model-model terbaru tetapi mungkin agak kurang dalam yang terkini. * Pendekatan AI yang kurang populer, seperti **Algoritma Genetik** dan **Sistem Multi-Agen**. Yang tidak akan kami bahas dalam kurikulum ini: -> [Temukan semua sumber tambahan untuk kursus ini di koleksi Microsoft Learn kami](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Temukan semua sumber daya tambahan untuk kursus ini di koleksi Microsoft Learn kami](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Kasus bisnis penggunaan **AI dalam Bisnis**. Pertimbangkan mengambil jalur pembelajaran [Pengantar AI untuk Pengguna Bisnis](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) di Microsoft Learn, atau [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), yang dikembangkan bekerja sama dengan [INSEAD](https://www.insead.edu/). -* **Pembelajaran Mesin Klasik**, yang sudah dijelaskan dengan baik dalam [Kurikulum Pembelajaran Mesin untuk Pemula](http://github.com/Microsoft/ML-for-Beginners). +* Kasus bisnis penggunaan **AI dalam Bisnis**. Pertimbangkan untuk mengambil jalur pembelajaran [Pendahuluan AI untuk pengguna bisnis](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) di Microsoft Learn, atau [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), yang dikembangkan bekerja sama dengan [INSEAD](https://www.insead.edu/). +* **Pembelajaran Mesin Klasik**, yang dijelaskan dengan baik di [Kurikulum Pembelajaran Mesin untuk Pemula](http://github.com/Microsoft/ML-for-Beginners) kami. * Aplikasi AI praktis yang dibangun menggunakan **[Layanan Kognitif](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Untuk ini, kami menyarankan Anda memulai dengan modul Microsoft Learn untuk [visi](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [pemrosesan bahasa alami](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI dengan Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** dan lainnya. -* **Kerangka Kerja Cloud ML Spesifik**, seperti [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), atau [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Pertimbangkan menggunakan jalur pembelajaran [Membangun dan mengoperasikan solusi pembelajaran mesin dengan Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) dan [Membangun dan Mengoperasikan Solusi Pembelajaran Mesin dengan Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Framework Cloud ML** tertentu, seperti [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), atau [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Pertimbangkan menggunakan jalur pembelajaran [Membangun dan mengoperasikan solusi pembelajaran mesin dengan Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) dan [Membangun dan Mengoperasikan Solusi Pembelajaran Mesin dengan Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). * **AI Percakapan** dan **Chat Bot**. Ada jalur pembelajaran terpisah [Membuat solusi AI percakapan](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), dan Anda juga dapat merujuk ke [posting blog ini](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) untuk detail lebih lanjut. -* **Matematika Mendalam** di balik pembelajaran mendalam. Untuk ini, kami merekomendasikan [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) oleh Ian Goodfellow, Yoshua Bengio dan Aaron Courville, yang juga tersedia secara online di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* **Matematika Mendalam** di balik pembelajaran mendalam. Untuk ini, kami menyarankan [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) oleh Ian Goodfellow, Yoshua Bengio dan Aaron Courville, yang juga tersedia online di [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Untuk pengenalan ringan ke topik _AI di Cloud_ Anda dapat mempertimbangkan mengambil Jalur Pembelajaran [Mulai dengan kecerdasan buatan di Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +Untuk pengenalan ringan ke topik _AI di Cloud_, Anda dapat mempertimbangkan mengambil Jalur Pembelajaran [Memulai dengan kecerdasan buatan di Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Konten -| | Tautan Pelajaran | PyTorch/Keras/TensorFlow | Lab | +| | Tautan Pelajaran | PyTorch/Keras/TensorFlow | Lab | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Pengaturan Kursus](./lessons/0-course-setup/setup.md) | [Siapkan Lingkungan Pengembangan Anda](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [Pengaturan Kursus](./lessons/0-course-setup/setup.md) | [Pasang Lingkungan Pengembangan Anda](./lessons/0-course-setup/how-to-run.md) | | | I | [**Pengenalan AI**](./lessons/1-Intro/README.md) | | | | 01 | [Pengenalan dan Sejarah AI](./lessons/1-Intro/README.md) | - | - | | II | **AI Simbolik** | | 02 | [Representasi Pengetahuan dan Sistem Pakar](./lessons/2-Symbolic/README.md) | [Sistem Pakar](./lessons/2-Symbolic/Animals.ipynb) / [Ontologi](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf Konsep](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Pengantar Jaringan Neural**](./lessons/3-NeuralNetworks/README.md) ||| +| III | [**Pengenalan Jaringan Saraf**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Multi-Layered Perceptron dan Membuat Kerangka Kerja Kami Sendiri](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Pengantar Kerangka Kerja (PyTorch/TensorFlow) dan Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Visi Komputer**](./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)| [Jelajahi Visi Komputer di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Pengantar Visi Komputer. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Jaringan Neural Konvolusional](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arsitektur CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Jaringan Pra-latih dan Pembelajaran Transfer](./lessons/4-ComputerVision/08-TransferLearning/README.md) dan [Trik Pelatihan](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 04 | [Perceptron Berlapis dan Membuat Framework Sendiri](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Pengenalan Framework (PyTorch/TensorFlow) dan Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Penglihatan Komputer**](./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)| [Jelajahi Penglihatan Komputer di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Pengenalan Penglihatan Komputer. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Jaringan Saraf Konvolusional](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arsitektur CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Jaringan Pra-latih dan Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) dan [Trik Pelatihan](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoencoder dan 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 | [Jaringan Adversarial Generatif & Transfer Gaya Artistik](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Deteksi Objek](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | @@ -102,24 +102,24 @@ Untuk pengenalan ringan ke topik _AI di Cloud_ Anda dapat mempertimbangkan menga | V | [**Pemrosesan Bahasa Alami**](./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) | [Jelajahi Pemrosesan Bahasa Alami di Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [Representasi Teks. 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 | [Embedding kata semantik. Word2Vec dan 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 | [Pemodelan Bahasa. Pelatihan embedding sendiri](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Jaringan Neural Rekuren](./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) | | +| 15 | [Pemodelan Bahasa. Melatih embedding sendiri](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Jaringan Saraf Rekuren](./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 | [Jaringan Rekuren Generatif](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [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 | [Pengenalan Entitas Bernama](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | +| 19 | [Pengakuan Entitas Bernama](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | | 20 | [Model Bahasa Besar, Pemrograman Prompt dan Tugas Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Teknik AI Lainnya** || | -| 21 | [Algoritma Genetika](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 21 | [Algoritma Genetik](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Pembelajaran Penguatan Dalam](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Sistem Multi-Agen](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Etika AI** | | | -| 24 | [Etika AI dan AI yang Bertanggung Jawab](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinsip AI yang Bertanggung Jawab](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | -| IX | **Ekstra** | | | +| 24 | [Etika AI dan AI Bertanggung Jawab](./lessons/7-Ethics/README.md) | [Microsoft Learn: Prinsip AI Bertanggung Jawab](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| IX | **Tambahan** | | | | 25 | [Jaringan Multi-Modal, CLIP dan VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Setiap pelajaran berisi -* Materi pra-pembacaan -* Jupyter Notebooks yang dapat dijalankan, yang sering kali spesifik untuk framework (**PyTorch** atau **TensorFlow**). Notebook yang dapat dijalankan juga berisi banyak materi teoretis, jadi untuk memahami topik, Anda perlu melalui setidaknya satu versi notebook (baik PyTorch atau TensorFlow). +* Materi pra-baca +* Jupyter Notebooks yang dapat dieksekusi, yang sering kali spesifik untuk kerangka kerja (**PyTorch** atau **TensorFlow**). Notebook yang dapat dieksekusi juga berisi banyak materi teoretis, jadi untuk memahami topik ini Anda perlu melalui setidaknya satu versi notebook (baik PyTorch atau TensorFlow). * **Lab** yang tersedia untuk beberapa topik, yang memberi Anda kesempatan untuk mencoba menerapkan materi yang telah Anda pelajari pada masalah tertentu. * Beberapa bagian berisi tautan ke modul [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) yang membahas topik terkait. @@ -127,44 +127,43 @@ Untuk pengenalan ringan ke topik _AI di Cloud_ Anda dapat mempertimbangkan menga ### 🎯 Baru di AI? Mulai Di Sini! -Jika Anda benar-benar baru di AI dan ingin contoh praktis yang cepat, lihat [**Contoh Ramah Pemula**](./examples/README.md) kami! Ini mencakup: +Jika Anda benar-benar baru mengenal AI dan ingin contoh cepat yang praktis, lihat [**Contoh Ramah Pemula**](./examples/README.md) kami! Ini termasuk: -- 🌟 **Halo Dunia AI** - Program AI pertama Anda (pengenalan pola) -- 🧠 **Jaringan Neural Sederhana** - Bangun jaringan neural dari awal -- 🖼️ **Klasifikasi Gambar** - Mengklasifikasikan gambar dengan komentar terperinci +- 🌟 **Hello AI World** - Program AI pertama Anda (pengenalan pola) +- 🧠 **Jaringan Neural Sederhana** - Membangun jaringan neural dari awal +- 🖼️ **Klasifikator Gambar** - Mengklasifikasikan gambar dengan komentar rinci - 💬 **Sentimen Teks** - Menganalisis teks positif/negatif -Contoh-contoh ini dirancang untuk membantu Anda memahami konsep AI sebelum menyelami kurikulum penuh. +Contoh-contoh ini dirancang untuk membantu Anda memahami konsep AI sebelum menelusuri kurikulum lengkap. ### 📚 Pengaturan Kurikulum Lengkap -- Kami telah membuat [pelajaran pengaturan](./lessons/0-course-setup/setup.md) untuk membantu Anda mengatur lingkungan pengembangan Anda. -- Untuk Pendidik, kami juga telah membuat [pelajaran pengaturan kurikulum](./lessons/0-course-setup/for-teachers.md) untuk Anda! +- Kami telah membuat [pelajaran pengaturan](./lessons/0-course-setup/setup.md) untuk membantu Anda menyiapkan lingkungan pengembangan Anda. - Untuk para Pendidik, kami juga telah membuat [pelajaran pengaturan kurikulum](./lessons/0-course-setup/for-teachers.md) untuk Anda! - Cara [Menjalankan kode di VSCode atau Codespace](./lessons/0-course-setup/how-to-run.md) -Ikuti langkah-langkah ini: +Ikuti langkah berikut: Fork Repository: Klik tombol "Fork" di sudut kanan atas halaman ini. -Clone Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Klon Repository: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Jangan lupa beri bintang (🌟) repo ini agar lebih mudah ditemukan nanti. +Jangan lupa beri bintang (🌟) pada repo ini untuk memudahkan pencarian nanti. -## Bertemu dengan Pembelajar Lain +## Temui Pelajar Lain -Bergabunglah dengan [server Discord AI resmi kami](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) untuk bertemu dan berjejaring dengan pembelajar lain yang mengikuti kursus ini serta mendapatkan dukungan. +Bergabunglah dengan [server Discord AI resmi kami](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) untuk bertemu dan berjejaring dengan pelajar lain yang mengikuti kursus ini serta mendapatkan dukungan. -Jika Anda memiliki masukan produk atau pertanyaan saat membangun, kunjungi [Forum Developer Azure AI Foundry kami](https://aka.ms/foundry/forum) +Jika Anda memiliki masukan produk atau pertanyaan selama pembangunan, kunjungi [Forum Pengembang Azure AI Foundry](https://aka.ms/foundry/forum) -## Kuis +## Kuis -> **Catatan tentang kuis**: Semua kuis terdapat di folder Quiz-app di etc\quiz-app, atau [Online Di Sini](https://ff-quizzes.netlify.app/) Mereka terhubung dari dalam pelajaran dan aplikasi kuis dapat dijalankan secara lokal atau dideploy ke Azure; ikuti instruksi di folder `quiz-app`. Mereka sedang secara bertahap dilokalisasi. +> **Catatan tentang kuis**: Semua kuis terdapat dalam folder Quiz-app di etc\quiz-app, atau [Online Di Sini](https://ff-quizzes.netlify.app/) Mereka terhubung dari dalam pelajaran, aplikasi kuis dapat dijalankan secara lokal atau dideploy ke Azure; ikuti petunjuk di folder `quiz-app`. Mereka sedang secara bertahap dilokalisasi. -## Membutuhkan Bantuan +## Butuh Bantuan -Apakah Anda punya saran atau menemukan kesalahan ejaan atau kode? Buat masalah atau kirim permintaan tarik. +Apakah Anda memiliki saran atau menemukan kesalahan ejaan atau kode? Buat masalah atau buat permintaan tarik. -## Ucapan Terima Kasih Khusus +## Terima Kasih Khusus * **✍️ Penulis Utama:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Editor:** [Jen Looper](https://twitter.com/jenlooper), PhD @@ -172,57 +171,57 @@ Apakah Anda punya saran atau menemukan kesalahan ejaan atau kode? Buat masalah a * **✅ Pembuat Kuis:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Kontributor Inti:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Kurikulum Lainnya +## Kurikulum Lain -Tim kami mengembangkan kurikulum lainnya! Lihat: +Tim kami menghasilkan kurikulum lain! Lihat: ### 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) +[![LangChain4j untuk Pemula](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 untuk Pemula](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 untuk Pemula](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 / Agen +[![AZD untuk Pemula](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 untuk Pemula](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 untuk Pemula](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) +[![Agen AI untuk Pemula](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) --- ### Seri AI Generatif -[![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) +[![AI Generatif untuk Pemula](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) +[![AI Generatif (.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) +[![AI Generatif (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) +[![AI Generatif (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) --- ### Pembelajaran Inti -[![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) +[![ML untuk Pemula](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 untuk Pemula](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 untuk Pemula](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) +[![Keamanan Siber untuk Pemula](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) +[![Pengembangan Web untuk Pemula](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 untuk Pemula](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) +[![Pengembangan XR untuk Pemula](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) --- ### Seri Copilot -[![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) +[![Copilot untuk Pemrograman Berpasangan AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot untuk 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) +[![Petualangan Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) ## Mendapatkan Bantuan -Jika Anda mengalami kebuntuan atau memiliki pertanyaan tentang membangun aplikasi AI. Bergabunglah dengan pembelajar dan pengembang berpengalaman dalam diskusi tentang MCP. Ini adalah komunitas yang mendukung di mana pertanyaan disambut dan pengetahuan dibagikan secara bebas. +Jika Anda terjebak atau memiliki pertanyaan tentang membangun aplikasi AI. Bergabunglah dengan para pelajar dan pengembang berpengalaman dalam diskusi tentang MCP. Ini adalah komunitas yang mendukung di mana pertanyaan disambut dan pengetahuan dibagikan dengan bebas. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Jika Anda memiliki masukan produk atau mengalami kesalahan selama pembangunan kunjungi: +Jika Anda memiliki masukan produk atau kesalahan selama pembangunan kunjungi: [![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) @@ -230,5 +229,5 @@ Jika Anda memiliki masukan produk atau mengalami kesalahan selama pembangunan ku **Penafian**: -Dokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berusaha mencapai akurasi, harap dipahami bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang otoritatif. Untuk informasi penting, disarankan menggunakan terjemahan profesional oleh manusia. Kami tidak bertanggung jawab atas kesalahpahaman atau interpretasi yang keliru yang timbul dari penggunaan terjemahan ini. +Dokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berupaya untuk akurasi, harap diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang otoritatif. Untuk informasi penting, disarankan menggunakan jasa terjemahan manusia profesional. Kami tidak bertanggung jawab atas kesalahpahaman atau kesalahan interpretasi yang timbul dari penggunaan terjemahan ini. \ No newline at end of file diff --git a/translations/vi/.co-op-translator.json b/translations/vi/.co-op-translator.json index c306a739..86d6a361 100644 --- a/translations/vi/.co-op-translator.json +++ b/translations/vi/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "vi" }, "README.md": { - "original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30", - "translation_date": "2026-02-28T09:14:32+00:00", + "original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b", + "translation_date": "2026-04-06T20:26:37+00:00", "source_file": "README.md", "language_code": "vi" }, diff --git a/translations/vi/README.md b/translations/vi/README.md index 13ffecbc..600293db 100644 --- a/translations/vi/README.md +++ b/translations/vi/README.md @@ -2,35 +2,35 @@ [![Người đóng góp GitHub](https://img.shields.io/github/contributors/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/graphs/contributors/) [![Vấn đề GitHub](https://img.shields.io/github/issues/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/issues/) [![Yêu cầu kéo GitHub](https://img.shields.io/github/issues-pr/microsoft/AI-For-Beginners.svg)](https://GitHub.com/microsoft/AI-For-Beginners/pulls/) -[![Chào đón PR](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) +[![Chào mừng PR](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) -[![Người theo dõi GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) -[![Nhánh GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) +[![Người xem GitHub](https://img.shields.io/github/watchers/microsoft/AI-For-Beginners.svg?style=social&label=Watch)](https://GitHub.com/microsoft/AI-For-Beginners/watchers/) +[![Forks GitHub](https://img.shields.io/github/forks/microsoft/AI-For-Beginners.svg?style=social&label=Fork)](https://GitHub.com/microsoft/AI-For-Beginners/network/) [![Sao GitHub](https://img.shields.io/github/stars/microsoft/AI-For-Beginners.svg?style=social&label=Star)](https://GitHub.com/microsoft/AI-For-Beginners/stargazers/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/microsoft/ai-for-beginners/HEAD) [![Gitter](https://badges.gitter.im/Microsoft/ai-for-beginners.svg)](https://gitter.im/Microsoft/ai-for-beginners?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Trí tuệ nhân tạo dành cho người mới bắt đầu - Một chương trình học +# Trí Tuệ Nhân Tạo cho Người Mới Bắt Đầu - Một Chương Trình Học |![Sketchnote bởi @girlie_mac https://twitter.com/girlie_mac](https://github.com/microsoft/AI-For-Beginners/raw/main/lessons/sketchnotes/ai-overview.png)| |:---:| -| AI Dành Cho Người Mới Bắt Đầu - _Sketchnote bởi [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _Sketchnote bởi [@girlie_mac](https://twitter.com/girlie_mac)_ | -Khám phá thế giới của **Trí tuệ nhân tạo** (AI) với chương trình học 12 tuần, 24 bài học của chúng tôi! Nó bao gồm các bài học thực tiễn, câu đố và phòng lab. Chương trình thích hợp cho người mới bắt đầu và bao quát các công cụ như TensorFlow và PyTorch, cũng như đạo đức trong AI +Khám phá thế giới của **Trí Tuệ Nhân Tạo** (AI) với chương trình học 12 tuần, 24 bài học! Bao gồm các bài học thực tế, câu đố và phòng lab. Chương trình thân thiện với người mới bắt đầu và bao gồm các công cụ như TensorFlow và PyTorch, cũng như đạo đức trong AI -### 🌐 Hỗ trợ đa ngôn ngữ +### 🌐 Hỗ Trợ Đa Ngôn Ngữ #### Hỗ trợ qua GitHub Action (Tự động & Luôn Cập Nhật) -[Tiếng Ả Rập](../ar/README.md) | [Tiếng Bengal](../bn/README.md) | [Tiếng Bungari](../bg/README.md) | [Tiếng Miến Điện (Myanmar)](../my/README.md) | [Tiếng Trung (Giản thể)](../zh-CN/README.md) | [Tiếng Trung (Phồn thể, Hồng Kông)](../zh-HK/README.md) | [Tiếng Trung (Phồn thể, Macau)](../zh-MO/README.md) | [Tiếng Trung (Phồn thể, Đài Loan)](../zh-TW/README.md) | [Tiếng Croatia](../hr/README.md) | [Tiếng Séc](../cs/README.md) | [Tiếng Đan Mạch](../da/README.md) | [Tiếng Hà Lan](../nl/README.md) | [Tiếng Estonia](../et/README.md) | [Tiếng Phần Lan](../fi/README.md) | [Tiếng Pháp](../fr/README.md) | [Tiếng Đức](../de/README.md) | [Tiếng Hy Lạp](../el/README.md) | [Tiếng Do Thái](../he/README.md) | [Tiếng Hindi](../hi/README.md) | [Tiếng Hungary](../hu/README.md) | [Tiếng Indonesia](../id/README.md) | [Tiếng Ý](../it/README.md) | [Tiếng Nhật](../ja/README.md) | [Tiếng Kannada](../kn/README.md) | [Tiếng Hàn](../ko/README.md) | [Tiếng Litva](../lt/README.md) | [Tiếng Mã Lai](../ms/README.md) | [Tiếng Malayalam](../ml/README.md) | [Tiếng Marathi](../mr/README.md) | [Tiếng Nepal](../ne/README.md) | [Tiếng Pidgin Nigeria](../pcm/README.md) | [Tiếng Na Uy](../no/README.md) | [Tiếng Ba Tư (Farsi)](../fa/README.md) | [Tiếng Ba Lan](../pl/README.md) | [Tiếng Bồ Đào Nha (Brazil)](../pt-BR/README.md) | [Tiếng Bồ Đào Nha (Bồ Đào Nha)](../pt-PT/README.md) | [Tiếng Punjab (Gurmukhi)](../pa/README.md) | [Tiếng Romania](../ro/README.md) | [Tiếng Nga](../ru/README.md) | [Tiếng Serbia (Chữ Cyrillic)](../sr/README.md) | [Tiếng Slovakia](../sk/README.md) | [Tiếng Slovenia](../sl/README.md) | [Tiếng Tây Ban Nha](../es/README.md) | [Tiếng Swahili](../sw/README.md) | [Tiếng Thụy Điển](../sv/README.md) | [Tiếng Tagalog (Philippines)](../tl/README.md) | [Tiếng Tamil](../ta/README.md) | [Tiếng Telugu](../te/README.md) | [Tiếng Thái](../th/README.md) | [Tiếng Thổ Nhĩ Kỳ](../tr/README.md) | [Tiếng Ukraina](../uk/README.md) | [Tiếng Urdu](../ur/README.md) | [Tiếng Việt](./README.md) +[Tiếng Ả Rập](../ar/README.md) | [Tiếng Bengal](../bn/README.md) | [Tiếng Bulgaria](../bg/README.md) | [Tiếng Miến Điện (Myanmar)](../my/README.md) | [Tiếng Trung (Giản thể)](../zh-CN/README.md) | [Tiếng Trung (Phồn thể, Hồng Kông)](../zh-HK/README.md) | [Tiếng Trung (Phồn thể, Macau)](../zh-MO/README.md) | [Tiếng Trung (Phồn thể, Đài Loan)](../zh-TW/README.md) | [Tiếng Croatia](../hr/README.md) | [Tiếng Czech](../cs/README.md) | [Tiếng Đan Mạch](../da/README.md) | [Tiếng Hà Lan](../nl/README.md) | [Tiếng Estonia](../et/README.md) | [Tiếng Phần Lan](../fi/README.md) | [Tiếng Pháp](../fr/README.md) | [Tiếng Đức](../de/README.md) | [Tiếng Hy Lạp](../el/README.md) | [Tiếng Hebrew](../he/README.md) | [Tiếng Hindi](../hi/README.md) | [Tiếng Hungary](../hu/README.md) | [Tiếng Indonesia](../id/README.md) | [Tiếng Ý](../it/README.md) | [Tiếng Nhật](../ja/README.md) | [Tiếng Kannada](../kn/README.md) | [Tiếng Khmer](../km/README.md) | [Tiếng Hàn](../ko/README.md) | [Tiếng Litva](../lt/README.md) | [Tiếng Mã Lai](../ms/README.md) | [Tiếng Malayalam](../ml/README.md) | [Tiếng Marathi](../mr/README.md) | [Tiếng Nepal](../ne/README.md) | [Tiếng Pidgin Nigeria](../pcm/README.md) | [Tiếng Na Uy](../no/README.md) | [Tiếng Ba Tư (Farsi)](../fa/README.md) | [Tiếng Ba Lan](../pl/README.md) | [Tiếng Bồ Đào Nha (Brazil)](../pt-BR/README.md) | [Tiếng Bồ Đào Nha (Bồ Đào Nha)](../pt-PT/README.md) | [Tiếng Punjabi (Gurmukhi)](../pa/README.md) | [Tiếng Rumani](../ro/README.md) | [Tiếng Nga](../ru/README.md) | [Tiếng Serbia (Chữ Kirin)](../sr/README.md) | [Tiếng Slovak](../sk/README.md) | [Tiếng Slovenia](../sl/README.md) | [Tiếng Tây Ban Nha](../es/README.md) | [Tiếng Swahili](../sw/README.md) | [Tiếng Thụy Điển](../sv/README.md) | [Tiếng Tagalog (Philippines)](../tl/README.md) | [Tiếng Tamil](../ta/README.md) | [Tiếng Telugu](../te/README.md) | [Tiếng Thái](../th/README.md) | [Tiếng Thổ Nhĩ Kỳ](../tr/README.md) | [Tiếng Ukraina](../uk/README.md) | [Tiếng Urdu](../ur/README.md) | [Tiếng Việt](./README.md) -> **Ưu tiên sao chép cục bộ?** +> **Ưu tiên Nhân Bản Có Cục Bộ?** > -> Kho lưu trữ này bao gồm hơn 50 bản dịch ngôn ngữ, làm tăng đáng kể kích thước tải xuống. Để sao chép mà không có bản dịch, hãy sử dụng sparse checkout: +> Kho lưu trữ này bao gồm hơn 50 bản dịch ngôn ngữ làm tăng đáng kể dung lượng tải xuống. Để nhân bản mà không tải các bản dịch, hãy sử dụng sparse checkout: > > **Bash / macOS / Linux:** > ```bash @@ -46,123 +46,123 @@ Khám phá thế giới của **Trí tuệ nhân tạo** (AI) với chương tr > git sparse-checkout set --no-cone "/*" "!translations" "!translated_images" > ``` > -> Điều này cung cấp cho bạn mọi thứ bạn cần để hoàn thành khóa học với tốc độ tải xuống nhanh hơn nhiều. +> Điều này cung cấp cho bạn mọi thứ cần thiết để hoàn thành khóa học với tốc độ tải xuống nhanh hơn nhiều. -**Nếu bạn muốn có thêm các ngôn ngữ dịch hỗ trợ, các ngôn ngữ được liệt kê [ở đây](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Nếu bạn muốn có thêm các ngôn ngữ dịch được hỗ trợ, danh sách có tại [đây](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## Tham gia cộng đồng +## Tham gia Cộng đồng [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -## Những gì bạn sẽ học +## Bạn sẽ học được gì -**[Sơ đồ tư duy của Khóa học](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Sơ đồ Tư duy của Khóa học](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** -Trong chương trình học này, bạn sẽ học: +Trong chương trình này, bạn sẽ học: -* Các phương pháp tiếp cận khác nhau với Trí tuệ Nhân tạo, bao gồm phương pháp biểu tượng "cũ kỹ" với **Biểu diễn tri thức** và suy luận ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Mạng nơ-ron** và **Học sâu**, là cốt lõi của AI hiện đại. Chúng tôi sẽ minh họa các khái niệm đằng sau những chủ đề quan trọng này bằng mã trong hai nền tảng phổ biến nhất – [TensorFlow](http://Tensorflow.org) và [PyTorch](http://pytorch.org). -* **Kiến trúc thần kinh** để làm việc với hình ảnh và văn bản. Chúng tôi sẽ bao gồm các mô hình gần đây nhưng có thể còn thiếu một chút về trạng thái nghệ thuật mới nhất. -* Các phương pháp AI ít phổ biến hơn, chẳng hạn như **Thuật toán Di truyền** và **Hệ đa tác nhân**. +* Các cách tiếp cận khác nhau với Trí Tuệ Nhân Tạo, bao gồm phương pháp biểu tượng "xưa cũ" với **Biểu diễn Kiến thức** và suy luận ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Mạng Nơ-ron** và **Học Sâu**, là lõi của AI hiện đại. Chúng tôi sẽ minh họa các khái niệm đằng sau những chủ đề quan trọng này thông qua mã nguồn trong hai framework phổ biến nhất - [TensorFlow](http://Tensorflow.org) và [PyTorch](http://pytorch.org). +* **Kiến trúc Nơ-ron** để làm việc với hình ảnh và văn bản. Chúng tôi sẽ đề cập đến các mô hình gần đây nhưng có thể còn thiếu trong các công nghệ tiên tiến nhất hiện nay. +* Các phương pháp AI ít phổ biến hơn, chẳng hạn như **Thuật Toán Di Truyền** và **Hệ thống Đa Tác Nhân**. -Những gì chúng tôi sẽ không bao gồm trong chương trình này: +Những gì chúng ta sẽ không đề cập trong chương trình này: -> [Tìm tất cả các nguồn bổ sung cho khóa học này trong bộ sưu tập Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Tìm tất cả tài nguyên bổ sung cho khóa học này trong bộ sưu tập Microsoft Learn của chúng tôi](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Trường hợp kinh doanh sử dụng **AI trong doanh nghiệp**. Hãy cân nhắc theo học đường dẫn [Giới thiệu AI cho người dùng doanh nghiệp](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) trên Microsoft Learn, hoặc [Trường Kinh doanh AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), được phát triển hợp tác cùng [INSEAD](https://www.insead.edu/). -* **Học máy cổ điển**, được mô tả rõ trong [Chương trình học Máy học cho người mới bắt đầu](http://github.com/Microsoft/ML-for-Beginners). -* Các ứng dụng AI thực tế xây dựng bằng **[Dịch vụ nhận thức](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Để làm điều này, chúng tôi khuyến nghị bạn bắt đầu với các module trên Microsoft Learn về [thị giác](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [xử lý ngôn ngữ tự nhiên](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI sinh tạo với Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** và các lĩnh vực khác. -* Các **Khung máy học trên điện toán đám mây** cụ thể như [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), hoặc [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Hãy cân nhắc sử dụng các đường dẫn học [Xây dựng và vận hành giải pháp học máy với Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) và [Xây dựng và vận hành giải pháp học máy với Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **AI hội thoại** và **Chat Bot**. Có một đường dẫn học riêng [Tạo các giải pháp AI hội thoại](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), và bạn cũng có thể tham khảo [bài đăng blog này](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) để biết thêm chi tiết. -* **Toán học chuyên sâu** đằng sau học sâu. Để làm điều này, chúng tôi khuyến nghị cuốn sách [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) của Ian Goodfellow, Yoshua Bengio và Aaron Courville, cũng có thể đọc trực tuyến tại [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Các trường hợp kinh doanh sử dụng **AI trong Kinh doanh**. Bạn nên học [Giới thiệu AI dành cho người dùng doanh nghiệp](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) trên Microsoft Learn, hoặc [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), phát triển hợp tác với [INSEAD](https://www.insead.edu/). +* **Học Máy Cổ điển**, đã được mô tả rõ trong [Chương trình Học Máy cho Người Mới bắt đầu](http://github.com/Microsoft/ML-for-Beginners). +* Các ứng dụng AI thực tiễn xây dựng bằng **[Dịch vụ Nhận thức](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Để làm điều này, chúng tôi khuyên bạn bắt đầu với các module Microsoft Learn về [thị giác máy tính](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [xử lý ngôn ngữ tự nhiên](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[AI Tạo Sinh với Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** và các module khác. +* Các **Khung Điện toán Đám mây** ML cụ thể, như [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), hoặc [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Cân nhắc sử dụng các khóa học [Xây dựng và vận hành giải pháp học máy với Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) và [Xây dựng và Vận hành giải pháp học máy với Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **AI Đàm Thoại** và **Chat Bots**. Có một khóa học riêng [Tạo giải pháp AI đàm thoại](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), và bạn cũng có thể tham khảo [bài viết blog này](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) để biết thêm chi tiết. +* **Toán học sâu** đằng sau học sâu. Để hiểu phần này, chúng tôi khuyên bạn đọc [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) của Ian Goodfellow, Yoshua Bengio và Aaron Courville, có sẵn trực tuyến tại [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Để giới thiệu nhẹ nhàng về các chủ đề _AI trên đám mây_, bạn có thể cân nhắc theo học Đường dẫn học [Bắt đầu với trí tuệ nhân tạo trên Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +Để có phần giới thiệu nhẹ nhàng về chủ đề _AI trên Đám mây_, bạn có thể muốn học đường dẫn học [Bắt đầu với trí tuệ nhân tạo trên Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Nội dung -| | Đường dẫn Bài học | PyTorch/Keras/TensorFlow | Phòng Lab | -| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Thiết lập Khóa học](./lessons/0-course-setup/setup.md) | [Thiết lập Môi trường Phát triển của Bạn](./lessons/0-course-setup/how-to-run.md) | | +| | Bài học | PyTorch/Keras/TensorFlow | Phòng Lab | +| :-: | :-----------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | -------------------------------------------------------------- | +| 0 | [Cài đặt khóa học](./lessons/0-course-setup/setup.md) | [Cài đặt môi trường phát triển của bạn](./lessons/0-course-setup/how-to-run.md) | | | I | [**Giới thiệu về AI**](./lessons/1-Intro/README.md) | | | | 01 | [Giới thiệu và Lịch sử AI](./lessons/1-Intro/README.md) | - | - | -| II | **AI biểu tượng** | -| 02 | [Biểu diễn kiến thức và Hệ chuyên gia](./lessons/2-Symbolic/README.md) | [Hệ chuyên gia](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Đồ thị khái niệm](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | -| III | [**Giới thiệu về Mạng thần kinh**](./lessons/3-NeuralNetworks/README.md) ||| +| II | **AI Biểu Tượng** | +| 02 | [Biểu diễn tri thức và hệ chuyên gia](./lessons/2-Symbolic/README.md) | [Hệ Chuyên Gia](./lessons/2-Symbolic/Animals.ipynb) / [Bản thể học](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Đồ thị Khái niệm](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| III | [**Giới thiệu về Mạng Nơ-ron**](./lessons/3-NeuralNetworks/README.md) ||| | 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Sổ tay](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Phòng thí nghiệm](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | -| 04 | [Perceptron đa lớp và Tạo Framework riêng của chúng ta](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Sổ tay](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Phòng thí nghiệm](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | -| 05 | [Giới thiệu về Frameworks (PyTorch/TensorFlow) và Hiện tượng quá khớp](./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) | [Phòng thí nghiệm](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | -| IV | [**Thị giác máy tính**](./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)| [Khám phá Thị giác máy tính trên Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 04 | [Mạng Perceptron Nhiều Lớp và Tạo Framework riêng của chúng ta](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Sổ tay](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Phòng thí nghiệm](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Giới thiệu về Frameworks (PyTorch/TensorFlow) và Quá khớp](./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) | [Phòng thí nghiệm](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Thị giác máy tính**](./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)| [Khám phá Thị giác Máy tính trên Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | | 06 | [Giới thiệu về Thị giác máy tính. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Sổ tay](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Phòng thí nghiệm](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | -| 07 | [Mạng thần kinh tích chập](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Kiến trúc CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Phòng thí nghiệm](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Mạng đã được huấn luyện trước và Học chuyển giao](./lessons/4-ComputerVision/08-TransferLearning/README.md) và [Mẹo huấn luyện](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Phòng thí nghiệm](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 07 | [Mạng Nơ-ron Tích chập](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Kiến trúc CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Phòng thí nghiệm](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Mạng đã Huấn luyện trước và Học chuyển giao](./lessons/4-ComputerVision/08-TransferLearning/README.md) và [Các Mẹo Huấn luyện](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Phòng thí nghiệm](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoencoder và 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 | [Mạng đối kháng sinh tạo & Chuyển đổi phong cách nghệ thuật](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | -| 11 | [Phát hiện đối tượng](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Phòng thí nghiệm](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | -| 12 | [Phân đoạn ngữ nghĩa. 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 | [**Xử lý ngôn ngữ tự nhiên**](./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) | [Khám phá Xử lý ngôn ngữ tự nhiên trên Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| -| 13 | [Biểu diễn văn bản. 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 | [Nhúng ngữ nghĩa từ. Word2Vec và 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 | [Mô hình ngôn ngữ. Huấn luyện nhúng của riêng bạn](./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) | [Phòng thí nghiệm](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Mạng thần kinh hồi tiếp](./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 | [Mạng hồi tiếp sinh tạo](./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) | [Phòng thí nghiệm](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 10 | [Mạng Tạo Sinh Đối Kháng & Chuyển đổi Phong cách Nghệ thuật](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Phát hiện Đối tượng](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Phòng thí nghiệm](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | +| 12 | [Phân đoạn Ngữ nghĩa. 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 | [**Xử lý Ngôn ngữ Tự nhiên**](./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) | [Khám phá Xử lý Ngôn ngữ Tự nhiên trên Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| +| 13 | [Biểu diễn Văn bản. 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 | [Nhúng từ ngữ ngữ nghĩa. Word2Vec và 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 | [Mô hình Ngôn ngữ. Huấn luyện nhúng riêng](./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) | [Phòng thí nghiệm](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Mạng Nơ-ron Tái hiện](./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 | [Mạng Nơ-ron Tái hiện Sinh Sinh](./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) | [Phòng thí nghiệm](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Nhận dạng Thực thể có tên](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Phòng thí nghiệm](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Mô hình ngôn ngữ lớn, Lập trình Prompt và Nhiệm vụ Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | -| VI | **Các kỹ thuật AI khác** || | -| 21 | [Thuật toán di truyền](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Sổ tay](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | -| 22 | [Học tăng cường sâu](./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) | [Phòng thí nghiệm](./lessons/6-Other/22-DeepRL/lab/README.md) | -| 23 | [Hệ đa tác nhân](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 19 | [Nhận dạng Thực thể có Tên](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Phòng thí nghiệm](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Mô hình Ngôn ngữ Lớn, Lập trình Đề bài và Tác vụ Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| VI | **Các Kỹ thuật AI khác** || | +| 21 | [Thuật toán Di truyền](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Sổ tay](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | +| 22 | [Học Tăng cường Sâu](./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) | [Phòng thí nghiệm](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Hệ Thống Đa Tác nhân](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Đạo đức AI** | | | -| 24 | [Đạo đức AI và AI có trách nhiệm](./lessons/7-Ethics/README.md) | [Microsoft Learn: Nguyên tắc AI có trách nhiệm](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | +| 24 | [Đạo đức AI và AI có Trách nhiệm](./lessons/7-Ethics/README.md) | [Microsoft Learn: Nguyên tắc AI có Trách nhiệm](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Phần bổ sung** | | | -| 25 | [Mạng đa phương thức, CLIP và VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Sổ tay](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [Mạng Đa phương thức, CLIP và VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Sổ tay](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | -## Mỗi bài học bao gồm +## Mỗi bài học chứa * Tài liệu đọc trước -* Các Jupyter Notebooks có thể thực thi, thường dành riêng cho framework (**PyTorch** hoặc **TensorFlow**). Notebook có thể thực thi cũng chứa rất nhiều tài liệu lý thuyết, vì vậy để hiểu chủ đề bạn cần xem qua ít nhất một phiên bản của notebook (hoặc PyTorch hoặc TensorFlow). -* **Phòng thí nghiệm** có sẵn cho một số chủ đề, giúp bạn có cơ hội thử áp dụng tài liệu đã học vào một bài toán cụ thể. -* Một số phần chứa liên kết đến các module [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) bao gồm các chủ đề liên quan. +* Sổ tay Jupyter có thể thực thi, thường dành riêng cho từng framework (**PyTorch** hoặc **TensorFlow**). Sổ tay có thể thực thi cũng chứa nhiều tài liệu lý thuyết, vì vậy để hiểu chủ đề bạn cần phải hoàn thành ít nhất một phiên bản của sổ tay (hoặc PyTorch hoặc TensorFlow). +* **Phòng thí nghiệm** có sẵn cho một số chủ đề, cho phép bạn thử áp dụng tài liệu đã học vào một vấn đề cụ thể. +* Một số phần có liên kết đến các mô-đun [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) bao gồm các chủ đề liên quan. ## Bắt đầu -### 🎯 Mới với AI? Bắt đầu tại đây! +### 🎯 Mới làm quen với AI? Bắt đầu từ đây! -Nếu bạn hoàn toàn mới với AI và muốn các ví dụ nhanh, thực hành, hãy xem [**Ví dụ dành cho người mới bắt đầu**](./examples/README.md)! Bao gồm: +Nếu bạn hoàn toàn mới với AI và muốn có các ví dụ nhanh, thực hành, hãy xem [**Ví dụ thân thiện với người mới bắt đầu**](./examples/README.md)! Bao gồm: - 🌟 **Hello AI World** - Chương trình AI đầu tiên của bạn (nhận dạng mẫu) -- 🧠 **Mạng Nơ-ron đơn giản** - Xây dựng mạng nơ-ron từ đầu -- 🖼️ **Phân loại ảnh** - Phân loại hình ảnh với bình luận chi tiết +- 🧠 **Mạng Neural Đơn giản** - Xây dựng một mạng neural từ đầu +- 🖼️ **Bộ phân loại hình ảnh** - Phân loại hình ảnh với chú thích chi tiết - 💬 **Phân tích cảm xúc văn bản** - Phân tích văn bản tích cực/tiêu cực -Những ví dụ này được thiết kế để giúp bạn hiểu các khái niệm AI trước khi vào chương trình học đầy đủ. +Các ví dụ này được thiết kế để giúp bạn hiểu các khái niệm AI trước khi bắt đầu toàn bộ chương trình học. -### 📚 Thiết lập chương trình học đầy đủ +### 📚 Thiết lập toàn bộ chương trình học - Chúng tôi đã tạo một [bài học thiết lập](./lessons/0-course-setup/setup.md) để giúp bạn thiết lập môi trường phát triển. -- Đối với giáo viên, chúng tôi cũng có bài học [thiết lập chương trình học](./lessons/0-course-setup/for-teachers.md) dành cho bạn! +- Dành cho giáo viên, chúng tôi cũng đã tạo một [bài học thiết lập chương trình học](./lessons/0-course-setup/for-teachers.md) cho bạn! - Cách [chạy mã trong VSCode hoặc Codespace](./lessons/0-course-setup/how-to-run.md) -Làm theo các bước sau: +Thực hiện các bước sau: Fork kho lưu trữ: Nhấn nút "Fork" ở góc trên bên phải của trang này. Clone kho lưu trữ: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Đừng quên đánh dấu sao (🌟) repo này để dễ tìm lại sau. +Đừng quên đánh dấu sao (🌟) kho lưu trữ này để dễ tìm lại sau. ## Gặp gỡ các học viên khác -Tham gia [máy chủ Discord AI chính thức của chúng tôi](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) để gặp gỡ và kết nối với các học viên khác đang học khóa này và nhận hỗ trợ. +Tham gia [server Discord AI chính thức của chúng tôi](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) để gặp gỡ và kết nối với các học viên khác đang tham gia khóa học và nhận hỗ trợ. -Nếu bạn có phản hồi về sản phẩm hoặc câu hỏi trong quá trình xây dựng, hãy truy cập [Diễn đàn Nhà phát triển Azure AI Foundry](https://aka.ms/foundry/forum) +Nếu bạn có phản hồi về sản phẩm hoặc câu hỏi trong khi xây dựng, hãy truy cập [Diễn đàn nhà phát triển Azure AI Foundry](https://aka.ms/foundry/forum) ## Bài kiểm tra -> **Lưu ý về bài kiểm tra**: Tất cả các bài kiểm tra đều nằm trong thư mục Quiz-app tại etc\quiz-app, hoặc [Trực tuyến tại đây](https://ff-quizzes.netlify.app/) Chúng được liên kết trong các bài học, ứng dụng quiz có thể chạy cục bộ hoặc triển khai lên Azure; làm theo hướng dẫn trong thư mục `quiz-app`. Các bài này đang dần được bản địa hóa. +> **Lưu ý về bài kiểm tra**: Tất cả các bài kiểm tra đều nằm trong thư mục Quiz-app tại etc\quiz-app, hoặc [Trực tuyến tại đây](https://ff-quizzes.netlify.app/) Chúng được liên kết trong các bài học, ứng dụng quiz có thể chạy cục bộ hoặc triển khai trên Azure; làm theo hướng dẫn trong thư mục `quiz-app`. Chúng đang dần được địa phương hóa. ## Cần giúp đỡ -Bạn có đề xuất hoặc phát hiện lỗi đánh máy hay lỗi code? Hãy tạo issue hoặc pull request. +Bạn có đề xuất hoặc phát hiện lỗi chính tả hay lỗi mã? Hãy tạo một issue hoặc gửi pull request. ## Lời cảm ơn đặc biệt @@ -170,65 +170,65 @@ Bạn có đề xuất hoặc phát hiện lỗi đánh máy hay lỗi code? Hã * **🔥 Biên tập viên:** [Jen Looper](https://twitter.com/jenlooper), Tiến sĩ * **🎨 Minh họa sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Người tạo bài kiểm tra:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Đóng góp chính:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🙏 Những đóng góp chính:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Các chương trình học khác -Nhóm của chúng tôi sản xuất các chương trình học khác! Hãy xem: +Nhóm của chúng tôi còn sản xuất các chương trình học khác! Xem: ### LangChain -[![LangChain4j cho người mới bắt đầu](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 cho người mới bắt đầu](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 cho người mới bắt đầu](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) +[![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 cho người mới bắt đầu](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 cho người mới bắt đầu](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 cho người mới bắt đầu](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 cho người mới bắt đầu](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- -### Chuỗi AI sinh tạo -[![AI sinh tạo cho người mới bắt đầu](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) -[![AI sinh tạo (.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) -[![AI sinh tạo (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) -[![AI sinh tạo (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) +### Chuỗi Generative AI +[![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) --- ### Học cốt lõi -[![ML cho người mới bắt đầu](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) -[![Khoa học dữ liệu cho người mới bắt đầu](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 cho người mới bắt đầu](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) -[![An ninh mạng cho người mới bắt đầu](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) -[![Phát triển web cho người mới bắt đầu](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 cho người mới bắt đầu](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) -[![Phát triển XR cho người mới bắt đầu](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) +[![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) --- ### Chuỗi Copilot -[![Copilot cho lập trình ghép đôi AI](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot cho 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) -[![Cuộc phiêu lưu Copilot](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) +[![Copilot 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) -## Nhận sự trợ giúp +## Nhận trợ giúp -Nếu bạn bị mắc kẹt hoặc có bất kỳ câu hỏi nào về việc xây dựng ứng dụng AI. Tham gia cùng các học viên và nhà phát triển có kinh nghiệm trong các cuộc thảo luận về MCP. Đây là một cộng đồng hỗ trợ, nơi các câu hỏi được chào đón và kiến thức được chia sẻ tự do. +Nếu bạn bị mắc kẹt hoặc có bất kỳ câu hỏi nào về việc xây dựng ứng dụng AI, hãy tham gia cùng các học viên khác và các nhà phát triển dày dặn kinh nghiệm trong các cuộc thảo luận về MCP. Đây là cộng đồng hỗ trợ, nơi các câu hỏi được chào đón và kiến thức được chia sẻ rộng rãi. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Nếu bạn có phản hồi về sản phẩm hoặc phát hiện lỗi trong quá trình xây dựng, hãy truy cập: +Nếu bạn có phản hồi về sản phẩm hoặc lỗi khi xây dựng, hãy truy cập: [![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) --- -**Tuyên bố từ chối trách nhiệm**: -Tài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ gốc nên được coi là nguồn thông tin chính thức. Đối với các thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp của con người. Chúng tôi không chịu trách nhiệm về bất kỳ sự hiểu lầm hay sai lệch nào phát sinh từ việc sử dụng bản dịch này. +**Tuyên bố miễn trừ trách nhiệm**: +Tài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi nỗ lực để đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ mẹ đẻ nên được coi là nguồn chính xác và đáng tin cậy. Đối với thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp của con người. Chúng tôi không chịu trách nhiệm về bất kỳ sự hiểu nhầm hoặc diễn giải sai nào phát sinh từ việc sử dụng bản dịch này. \ No newline at end of file