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LLM Applications: RAG Systems 101

Build an AI assistant that talks to your own data using embeddings, vector databases and retrieval pipelines.

Beginner 5 hours Free
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LLM Applications: RAG Systems 101

The compact introduction to retrieval-augmented generation: how embeddings and vector search actually work, building a retrieval pipeline end to end, prompt design for grounded answers, and the evaluation habits that keep a RAG system honest. The free on-ramp to the full AI Engineering program.

Curriculum

  1. 1

    LLM fundamentals and API usage

  2. 2

    Embeddings and vector databases

  3. 3

    Building the retrieval pipeline

  4. 4

    Prompt design and evaluation

  5. 5

    Production RAG architecture

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