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Pathway

AI Engineer

Go from using AI to building it — RAG, agents, MCP, and a crew that runs itself.

Outcome

Prompt with intent, evaluate output like a pro, build a RAG app that answers from your own documents with citations, give it hands as a tool-calling agent that acts on real systems safely, expose those tools as a custom MCP server any AI client can plug into, coordinate a whole crew of agents to diagnose and fix a real incident, and finally give that crew memory and durable, scheduled autonomy so it works the night shift — recalling past incidents, resuming cleanly after a crash, and queuing fixes for your morning approval — with a human still at the gate.

The Roadmap · 8 courses
Foundationscomplete these before the core courses
  1. 1
    Foundation +100 XP

    Learn Python

    Foundation 1 — enough code literacy to judge and steer what the AI gives you.

    View course
  2. 2
    Foundation +800 XP

    Linux Essentials

    Foundation 2 — a Linux VM to build and run these AI projects on. The agent and RAG work happen on your own machine, not in the browser.

    View course

  3. Complete both foundations before the core courses. Python Essentials gives you the code literacy to judge and steer the AI; Linux Essentials gets you the Linux VM these projects build and run on — there is no browser sandbox for this work.

    Core coursesbuild on the foundations above
    3
    Core +1350 XP
    🧠

    Working Effectively with AI as a Developer & DevOps Engineer

    Think, structure prompts, iterate, and build an AI DevOps Assistant.

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  4. 4
    Core +1510 XP
    🔎

    Retrieval-Augmented Generation with Python

    Build a real AI app — a RAG system that answers from your own docs, grounded and cited.

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  5. 5
    Core +1570 XP
    🤖

    Building AI Agents with Python

    Give the AI hands — a tool-calling agent that checks systems, searches your docs, and fixes things behind a safety gate.

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  6. 6
    Core +1400 XP
    🔌

    Build a Custom MCP Server with Python

    Turn those tools into a custom MCP server any AI client can use — your agent, Claude Desktop, Claude Code — with the safety gate built in.

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  7. 7
    Core +1400 XP
    🐝

    Multi-Agent Systems & Orchestration with Python

    Coordinate a crew of specialist agents — triage, diagnose, research, plan, review, remediate — to fix a real incident, then port it to LangGraph.

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  8. 8
    Core +1890 XP
    🧠

    Agent Memory & Long-Running Workflows with Python

    The capstone — give the crew memory across runs and durable, scheduled autonomy so it works the night shift: it recalls past incidents, resumes cleanly after a crash, and queues every fix for your morning approval.

    View course
Coming soon to this pathway
Agent evaluation & testing

Start the AI Engineer pathway.

First up: Learn Python — clear the 2 foundations first, then the core courses build on them.

Start the pathway