Master RAG from fundamentals to production with hands-on vector store and LLM integration projects
Video-first training aligned with our skills registry and MCP directory.
Developers building AI applications who need to implement retrieval-augmented generation for better LLM outputs
ML practitioners exploring RAG pipelines, vector databases, and semantic search for their projects
Engineers adding AI search and Q&A capabilities to existing applications using RAG patterns
18 lectures · 2.5 hours total
By the end of the program, you'll be able to:
Real-world projects you'll build during the course
“Best RAG course I've found. Covers everything from basics to production deployment.”
“The multi-modal section was incredibly valuable. Now I can build RAG systems for any content type.”
“Practical and well-paced. Great balance of theory and hands-on implementation.”
Multi-modal RAG Stack: A Hands-on Journey Through Vector Stores, LLM Integration, and Advanced Retrieval Methods
Deep dives (free): What are agent skills? Complete guide · What is MCP? Model Context Protocol guide.
Join 4,147 students learning Basic to Advanced
