Production
Mastering Claude Code & AI Agents
Go from beginner to building production-ready AI systems.
This one has not been recorded yet. Everything below is what it would cover — written down so you can tell us whether it is worth making. The button puts you on the list for this course and nothing else.
This is for you if
- You want the whole arc in one place, ending somewhere you would deploy.
- You have built agents that worked on your machine and nowhere else.
- You would rather learn the system than collect tricks.
Afterwards you can
- Build a multi-step agent system that keeps working when you are not watching.
- Handle the failures that only appear in production: timeouts, partial work, bad state.
- Decide what to make an agent and what to leave as ordinary code.
- Put one in front of real users without holding your breath.
What is in it
- From one agent to several, and what that costs
- State, retries, and work that half-finished
- The boundary: agent or plain code
- Observability — knowing what it did at three in the morning
- Going live, and the first week