Self-paced video course
Retrieval-Augmented Generation (RAG)
Build a 'chat-with-your-docs' app the right way — embeddings, chunking, evaluation — in 80 minutes.
What you'll earn
Verified · Shareable · Printed with your name
Earn a verified certificate
Shareable on LinkedIn · Issued by shansoai.com · Your name printed exactly as you sign up.
Curriculum
M1: Why RAG?
~20 minHallucinations, stale data, context limits. Vector embeddings explained without math.
M2: Your First RAG
~20 minEnd-to-end RAG with LangChain, OpenAI embeddings, and a vector store. 50 lines of code.
M3: Chunking & Hybrid Search
~20 minChunk sizes, overlaps, semantic vs hybrid search, and re-ranking — production patterns.
M4: Chat-With-PDFs Capstone
~20 minShip a production-quality 'chat with your PDFs' app + measure answer quality with RAGAS.
Who this is for
Developers and product builders adding AI to their app — especially anyone building chat-with-docs or knowledge assistants.
Prerequisites
- Basic Python
- OpenAI or Anthropic API key
- 5 PDFs or text docs
One-time payment · Lifetime access
- 4 self-paced video modules
- Quizzes after every module
- Final assessment (30 questions, 80% to pass)
- Verified certificate from shansoai.com
- No subscription · No recurring fees