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Learning path · Intermediate · 11 steps

AI Engineer

Build production AI features: LLM fundamentals with runnable examples, coding with AI assistants, retrieval-augmented generation, agents and MCP, and the evals and guardrails that keep them reliable and safe.

  1. Free tutorial AI Engineering Tutorial

    Start here: tokens, prompts, tools, RAG and evals with examples you run in the browser

  2. Course Coding with AI Assistants

    Use AI coding tools well while you learn

  3. Course Integrating LLM APIs

    Production LLM integration

  4. Course RAG in Production

    Retrieval that finds the right text and answers faithfully

  5. Decision guide RAG Chunking Strategies Compared
  6. Decision guide Vector Databases Compared
  7. Course AI Agents and MCP in Production

    Agents that stay bounded, safe and debuggable; MCP servers

  8. Decision guide AI Agent Frameworks Compared
  9. Decision guide MCP vs In-App Tool Calling
  10. Course LLM Evals and Guardrails

    Know it works and keep it safe

  11. Quiz (sign in) Native AI & RAG Quiz

    Pass with 70% to finish the path

Open this path in the app to see which steps you've completed.

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