RAG for Beginners (Intermediate): Build a Document Q&A Assistant
Learn the practical foundations of RAG: chunking, embeddings, retrieval, and grounded answers.
Learn the practical foundations of RAG: chunking, embeddings, retrieval, and grounded answers.
RAG helps LLMs answer using your documents. In this course you will build a document Q&A assistant and learn what makes retrieval actually work.
7–10 hours (self-paced).
Intermediate Python (functions, modules, virtual env)
Basic LLM/prompt familiarity is helpful
Ability to run a small Python project
Build a working RAG document assistant
Choose effective chunking and retrieval settings
Reduce hallucinations with grounded prompting
Debug retrieval quality using a checklist
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Students
0
Language
English
Duration
06h 30mLevel
intermediateExpiry period
LifetimeCertificate
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Dr. Kay
English
Certificate Course
0 Students
06h 30m