Generative AI for Beginners (Microsoft Official 21-Lesson Course)
Over 60,000 GitHub stars: Microsoft's premier open-source course covering prompt engineering, RAG architecture, fine-tuning, and multi-agent systems.
📌 What is this course?
A 21-lesson open-source curriculum created by Microsoft’s Cloud Advocates team, designed to take developers from absolute beginners to capable builders of generative AI applications.
Each lesson includes visual sketch notes, video overviews, Jupyter notebooks, sample code, and knowledge-check assignments.
🎯 Who is this for?
- Developers who want a comprehensive, university-grade curriculum created by Microsoft.
- Engineers looking to master RAG (Retrieval-Augmented Generation), Vector Databases, and Agent architectures.
- Teams designing enterprise-ready AI applications with security and compliance considerations.
📚 Key Curriculum Modules
- Lessons 01~03: GenAI & LLM Architecture Overview.
- Lessons 04~06: Advanced Prompt Engineering Patterns.
- Lessons 07~08: Building Text Generation and Chat Applications.
- Lessons 09~10: Search Applications with Vector Databases.
- Lessons 11~12: Deep Dive into RAG (Retrieval-Augmented Generation).
- Lessons 13~15: Multimodal Applications (Vision & Audio).
- Lessons 16~18: Fine-Tuning Open Source Models & Autonomous Agents.
- Lessons 19~21: Enterprise AI Safety, Compliance, and DevOps.
💡 Learning Tips
- GitHub Codespaces Integration: You can open the entire repository inside GitHub Codespaces with one click to get an instant cloud development environment.
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