From retrieval to agents that do the work

Understand RAG architecture, then explore agents that execute and verify work.

These are suggestions, not required prerequisite courses. Start with the problem you need to solve.

From retrieval to agents that do the work

  1. Start here

    RAG System Master

    Start here to improve your retrieval and generation architecture.

    Explore this course first
  2. Next · optional

    Harness · Loop · Graph Engineering

    Once you have built RAG, explore how agents execute and verify tasks.

    Explore the course
  3. Expand · optional

    Practical Decision AI: Laya Models and Human-in-the-Loop

    When you need to separate automated decisions from human review, explore decision models.

    Explore the course
RAG System Master
Basic RAG and prompting concepts, Python LLM API integration experience, and basic vector database skills.
Harness · Loop · Graph Engineering
Basic programming, the ability to run code, and experience with AI coding tools such as Claude Code or Cursor.
Practical Decision AI: Laya Models and Human-in-the-Loop
You need to read Python functions and dictionaries and run basic code.

Need a different starting point?

You can build a website without Java experience or start workflow automation without coding experience.