# MIT releases free course on AI agents covering RAG, MCP, and production use

Source: https://farcaster.xyz/kazani/0x802a8280
Kiwi News: https://news.kiwistand.com/stories/MIT-releases-free-course-on-AI-agents-covering-RAG-MCP-and-production-use?index=0x69578b7f98fca56247221b5e000f546d85772739a717d6c22c9a40ee3f23e28526a43d7c
Submitted by @kazani on 2026-01-02 UTC, 3 upvotes, 0 comments

## Summary

The text reports that MIT has released a free, comprehensive course on AI agents covering fundamentals and applied use cases, and it links to a GitHub repository for the material. Listed topics include what AI agents are and how they differ from chatbots, planning and task decomposition, retrieval-augmented generation (RAG) for grounding agents in external knowledge, and the Model Context Protocol (MCP) for structuring context, memory, and tool access. The course also includes examples and case studies of real implementations and is described as a practical base for building agentic systems in production.

## Article

🎓 MIT drops a free course on AI agents, theory and real-world practice

The folks at MIT have released a free, comprehensive course on AI agents, covering both fundamentals and applied use cases.

https://github.com/aishwaryanr/awesome-generative-ai-guide/tree/main/free_courses/agentic_ai_crash_course

🔸 AI agents, what they are, how they differ from chatbots, and where they actually make sense.

🔸 Planning, task decomposition, decision-making loops, and agent control logic.

🔸 RAG (Retrieval-Augmented Generation), grounding agents in external knowledge and tools.

🔸 MCP (Model Context Protocol), structuring context, memory, and tool access for scalable agents.

🔸 Examples & case studies, real implementations, not just academic theory.

🔸 Designed as a practical base for anyone building agentic systems in production.

MIT isn’t just teaching how to talk to models, it’s teaching how to make AI act, which is quickly becoming the most valuable skill in applied AI.