microsoft/generative-ai-for-beginners
每日信息看板 · 2026-02-04
2026-02-03T20:15:36Z
Published
AI 总结
微软在GitHub开源《Generative AI for Beginners》V3课程,提供21课与Python/TypeScript示例及多语言翻译,帮助开发者系统入门并快速构建生成式AI应用。
- 21节课覆盖生成式AI基础到实战构建(文本、聊天、向量检索、图像生成等)
- 课程区分“Learn/Build”,并尽可能提供Python与TypeScript代码示例
- 支持Azure OpenAI、OpenAI API与GitHub Marketplace模型目录等运行路径
- 包含RAG、函数调用、AI Agents、安全、LLMOps生命周期、微调与SLM等主题
- 提供50+语言翻译并通过GitHub Action自动更新,可用sparse checkout减少克隆体积
- 配套Discord与开发者论坛用于学习交流、反馈与贡献(PR/Issue)
#GitHub #repo #开源项目 #Microsoft #Generative AI #Python #TypeScript #RAG #Azure OpenAI #Agent
内容摘录
!Generative AI For Beginners
21 Lessons teaching everything you need to know to start building Generative AI applications
GitHub license
GitHub contributors
GitHub issues
GitHub pull-requests
PRs Welcome
GitHub watchers
GitHub forks
GitHub stars
Microsoft Foundry Discord
🌐 Multi-Language Support
Supported via GitHub Action (Automated & Always Up-to-Date)
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
Arabic | Bengali | Bulgarian | Burmese (Myanmar) | Chinese (Simplified) | Chinese (Traditional, Hong Kong) | Chinese (Traditional, Macau) | Chinese (Traditional, Taiwan) | Croatian | Czech | Danish | Dutch | Estonian | Finnish | French | German | Greek | Hebrew | Hindi | Hungarian | Indonesian | Italian | Japanese | Kannada | Korean | Lithuanian | Malay | Malayalam | Marathi | Nepali | Nigerian Pidgin | Norwegian | Persian (Farsi) | Polish | Portuguese (Brazil) | Portuguese (Portugal) | Punjabi (Gurmukhi) | Romanian | Russian | Serbian (Cyrillic) | Slovak | Slovenian | Spanish | Swahili | Swedish | Tagalog (Filipino) | Tamil | Telugu | Thai | Turkish | Ukrainian | Urdu | Vietnamese
**Prefer to Clone Locally?**
This repository includes 50+ language translations which significantly increases the download size. To clone without translations, use sparse checkout:
This gives you everything you need to complete the course with a much faster download.
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
Generative AI for Beginners (Version 3) - A Course
Learn the fundamentals of building Generative AI applications with our 21-lesson comprehensive course by Microsoft Cloud Advocates.
🌱 Getting Started
This course has 21 lessons. Each lesson covers its own topic so start wherever you like!
Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible.
For .NET Developers checkout Generative AI for Beginners (.NET Edition)!
Each lesson also includes a "Keep Learning" section with additional learning tools.
What You Need
To run the code of this course, you can use either:
Azure OpenAI Service - **Lessons:** "aoai-assignment"
GitHub Marketplace Model Catalog - **Lessons:** "githubmodels"
OpenAI API - **Lessons:** "oai-assignment"
Basic knowledge of Python or TypeScript is helpful - \*For absolute beginners check out these Python and TypeScript courses
A GitHub account to fork this entire repo to your own GitHub account
We have created a **Course Setup** lesson to help you with setting up your development environment.
Don't forget to star (🌟) this repo to find it easier later.
🧠 Ready to Deploy?
If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**.
🗣️ Meet Other Learners, Get Support
Join our official Azure AI Foundry Discord server to meet and network with other learners taking this course and get support.
Ask questions or share product feedback in our Azure AI Foundry Developer Forum on Github.
🚀 Building a Startup?
Visit Microsoft for Startups to find out how to get started building with Azure credits today.
🙏 Want to help?
Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request
📂 Each lesson includes:
A short video introduction to the topic
A written lesson located in the README
Python and TypeScript code samples supporting Azure OpenAI and OpenAI API
Links to extra resources to continue your learning
🗃️ Lessons
| # | **Lesson Link** | **Description** | **Video** | **Extra Learning** |
| --- | -------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------- | ------------------------------------------------------------------------------ |
| 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Video Coming Soon | Learn More |
| 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Video | Learn More |
| 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Video | Learn More |
| 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Video | Learn More |
| 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Video | Learn More |
| 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Video | Learn More |
| 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI / OpenAI API | Video | Learn More |
| 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Video | Learn More |
| 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Video | Learn More |
| 09 | Building Image Generation Applications | **Build:** An image generation application | Video | Learn More |
| 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Video | Learn More |
| 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Video | Learn More |
| 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Video | Learn More |
| 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Video | Learn More |
| 14 | The Generative AI Application Lif…