The finale. Take one enterprise AI agent — a strategic-sourcing & contract-risk agent — and evolve it live through every concept in the workshop, in the order you learned them. Start at a naive monolith and switch on microservices, async/event-driven, scale-out, fault tolerance, caching, security and observability — watching the cost, latency, throughput and CPU meters move, the architecture reshape, and an enterprise-readiness scorecard fill in. Flip the green/red lens to see the difference between the agent knobs every course stops at and the architecture layer that makes it production-grade. Each stage links to its deep-dive lab.
The strategic-sourcing & contract-risk agent starts as one main.py: the LLM plus every tool — RAG, ERP, finance, legal, approval — and the database, all in a single process. It works in the demo. Then real traffic arrives.