PLANNED PROGRAMME / ENROLMENT NOT YET OPEN
Production AI Agent Engineer.
Twelve modules, one continuing project, and a deliberate order: every module opens with an everyday situation before it uses a single technical word.
Each module carries a reference architecture, a starting point, a hands-on lab, a failure to cause on purpose, automated checks, and a stated result. Pricing has not been announced and enrolment is not open.
RELEASE 1 · FOUNDATIONS OF A PRODUCTION SYSTEM
- 01 Model Gateways & Provider Abstraction One front desk for every AI service you use, so swapping one out does not mean rewriting your app.
- 02 Event-Driven Agent Infrastructure Take the order first, cook it after — so a slow kitchen never turns customers away at the door.
- 03 Tool Execution & Permission Boundaries Giving your AI a set of keys — and thinking hard about which doors each key opens.
- 04 State, Memory & Durable Execution Work that remembers where it got to, even if the power goes out mid-task.
RELEASE 2 · KNOWLEDGE, COORDINATION AND MEASUREMENT
- 05 Production RAG & Knowledge Systems Letting your AI look things up in your own documents — without handing someone the wrong file.
- 06 Agent Orchestration Knowing when to follow a simple rule, and when you genuinely need to ask the AI.
- 07 MCP & External Agent Infrastructure Plugging into other people’s tools — and not believing everything they tell you.
- 08 Evaluation Engineering Proving a change made things better, instead of hoping it did.
RELEASE 3 · OPERATIONS, SECURITY AND SHIPPING
- 09 Observability & Agent Operations Being able to answer "what happened?" about something that happened three weeks ago.
- 10 Agent Security & Excessive Agency Assuming someone will trick your AI, and making sure that is not enough to hurt you.
- 11 Production Reliability Staying useful when something you depend on is slow, broken, or quietly wrong.
- 12 Deployment & Production Operations Shipping changes calmly, and undoing them faster than you shipped them.