All pathways
🤖
Pathway

AI-Assisted Developer

Use AI as a real force-multiplier — not a crutch.

OutcomePrompt 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, then coordinate a whole crew of agents to diagnose and fix a real incident — with a human still at the gate.
The Roadmap · 6 courses
  1. 1
    Foundation +100 XP

    Learn Python

    Enough code literacy to judge what the AI gives you.

    View course
  2. 2
    Core +1350 XP
    🧠

    Working Effectively with AI as a Developer & DevOps Engineer

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

    View course
  3. 3
    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.

    View course
  4. 4
    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.

    View course
  5. 5
    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.

    View course
  6. 6
    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.

    View course
Coming soon to this pathway
Agent memory & long-running workflows

Start the AI-Assisted Developer pathway.

First up: Learn Python — everything after builds on it.

Start the pathway