AI Agent Governance and Observability

About this course

This course contains the use of artificial intelligence. AI agents are moving from demos to production. They call tools, access data, make decisions, and take actions autonomously. Most teams ship them with application-level guardrails and hope for the best.

This course teaches you to govern AI agents as runtime infrastructure - not as chatbots with extra steps.

You will learn to build the production control plane that enterprises, SaaS platforms, and regulated industries require before an autonomous agent touches real users, real data, or real money.

WHAT MAKES THIS COURSE DIFFERENT:This is not a prompt engineering course. It is not a framework tutorial. It is the engineering discipline that sits between "the agent works in staging" and "the agent is trusted in production."

Every lesson is built around a single running scenario - a fictional enterprise insurer called Thornfield - so you see how each control (identity, tracing, evaluation, policy, approval, rollback) works in a realistic system with real constraints.

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