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Level 4 of 4 · Advanced
Evaluate & Supervise AI
Understanding AI systems and agents, designing human oversight, evaluating performance, recognizing failure modes, managing risk, and deciding what should and should not be automated. No programming is required.
About 90 minutes
By the end of this level you should be able to
- Describe the components of an AI-enabled system or agent
- Design human oversight and evaluate whether an AI workflow works
- Recognize failure modes and decide what should not be automated
Lessons in this level
Lesson 1 of 6
From Chatbots to AI Systems
What makes up an AI-enabled system beyond the model: instructions, tools, memory, retrieval, and orchestration.
About 15 minutesLesson 2 of 6
Agents, Tools, and MCP
How conversations, workflows, and agents differ, and what tool use, connectors, and permissions change.
About 15 minutesLesson 3 of 6
Designing Human Oversight
Placing checkpoints, approvals, escalation, and auditability where decisions should remain human.
About 15 minutesLesson 4 of 6
Evaluating AI Systems
Testing whether an AI system or workflow actually improves the underlying task, using test cases, rubrics, and evaluations.
About 15 minutesLesson 5 of 6
Managing AI Risk and Failure
How AI-assisted work fails, from automation bias to prompt injection, and how to monitor, recover, and fail gracefully.
About 15 minutesLesson 6 of 6
Designing Your AI Strategy
Choosing deliberately where AI adds value, when not to automate, and how to stay current without chasing every product.
About 15 minutes