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AI Agent Course From First Idea to Evaluation

Design an AI agent workflow with clear inputs, permissions, checks, test cases and human ownership.

32 lessons · intermediate
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  1. What an AI agent actually is
  2. When not to use an agent
  3. Agent roles
  4. Score your first agent use case
  5. Write an agent mission
  6. Define task inputs and outputs
  7. Build an instruction contract
  8. Turn a weak agent prompt into a reusable agent spec
  9. Tools vs context vs memory
  10. Map the tools your agent needs
  11. Add context without overloading the agent
  12. Design an MCP-style tool/resource/prompt map
  13. Linear workflow vs agent loop
  14. Build a 3-step agent workflow
  15. Add handoffs and checkpoints
  16. Design a multi-agent workflow without chaos
  17. Identify risky agent actions
  18. Add human-in-the-loop review
  19. Write guardrails that block bad outputs
  20. Create a safe escalation path
  21. Define what good means
  22. Create test cases for agent behavior
  23. Debug failed agent runs
  24. Build an agent evaluation checklist
  25. Turn an agent into a repeatable SOP
  26. Monitor cost
  27. Decide what humans still own
  28. Create an agent improvement loop
  29. Choose your capstone use case
  30. Build the full agent workflow spec
  31. Review the capstone with QA criteria
  32. Create the launch and maintenance plan
Lesson 1 of 32

What an AI agent actually is

Explain an AI agent as a repeatable system with a goal, instructions, context, tools and checks.

Understand the idea

An AI agent is not just a prompt or a chatbot. It is a designed workflow that can take input, follow instructions, use context or tools, produce an output and check whether the result is good enough.

Example

A support triage agent can read a ticket, classify urgency, search approved policy notes, draft a reply and send risky cases to a person instead of answering directly.

Write your first agent idea

Choose one bounded task and name the user, goal, approved inputs or tools and the output a person will review.

Try this prompt

This agent helps [user] achieve [goal] by using [inputs or tools] and producing [output]. A person must review [risk or decision].

Check your understanding

Which description best defines an AI agent?

Check the answer

A repeatable goal-driven workflow with instructions, inputs, actions and checks.

An agent becomes useful when the goal, permitted actions, evidence and stopping conditions are designed together.

Keep in mind

  • Keep the agent bounded and reviewable.
  • Name its tools, inputs, output and human owner.
  • Add tests and guardrails before expanding autonomy.

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