Choose a domain to practise. Pass mark: 75% per domain. Free — no signup required.
Architecture patterns, feasibility assessment, AI properties and their design consequences, multi-agent orchestration.
Model tier selection, prompt caching, technique selection, positional attention, long-context strategy.
MCP, tool design, RAG architecture, observability at scale, agent-to-agent communication, authorization.
Eval grading ladder, golden datasets, A/B testing, model rollout, leading indicators, cost optimisation.
Safety layer stack, HITL placement, prompt injection, compliance controls, fail-open vs fail-closed, bias.
Discovery methodology, tradeoff framing, outcome documentation, change management, handoff artefacts.
Shared configuration, AI code review independence, operational diagnosis, safe rollout at scale.