What an Agent Is and What It Is Not
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
Introduction to Agentic AI and Workflow Automation
An agentic workflow design with trigger, state, tools, approval points, logs, evaluation cases, and a do-not-automate boundary.
Tasks, Goals, Instructions, and Stopping Rules
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Tools, Permissions, and Safe Action Boundaries
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State, Memory, Context, and Handoff
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
Planning, Routing, and Deterministic Workflow Steps
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Human Approval and Escalation
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Failure Modes: Loops, Over-Action, Hallucinated Tools, and Stale Context
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Evaluating an Agentic Workflow
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Designing Workplace Automations Safely
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Capstone: Agent Workflow Design and Risk Review
Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.
First-release boundary
This is a text-first course shell. Leonardo/image creation, image QC, dependency-heavy runtime QA, external review, and learner pilot evidence remain separate later quality steps.