MICRO-COURSE

AI Agent Engineering

AI Agent Engineering: 13 short lessons, one for each concept. Agent loops, tool selection, planning, execution, state, memory, checkpoints, task decomposition, human approval, termination conditions, recovery, execution budgets, and workflow-versus-agent decisions.

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02 / UNDERSTAND

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Agent loops, tool selection, planning, execution, state, memory, checkpoints, task decomposition, human approval, termination conditions, recovery, execution budgets, and workflow-versus-agent decisions.

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Concept scope

03 / TRY IT

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Choose one question about AI Agent Engineering that you want to answer.
Write down a small example, its inputs or starting point, and the result you expect.
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A short example, reasoning and an open question

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Explain the concept in your own words and identify where it fits in the subject.
Show one small example, the expected result and the reasoning behind it.
Record one limitation or edge case and a question to discuss with a mentor.

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CONTINUE WITH ONE CONCEPT

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13 results1–12

Lesson

Agent loops

A short lesson on agent loops from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Tool selection

A short lesson on tool selection from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Planning

A short lesson on planning from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Execution

A short lesson on execution from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

State

A short lesson on state from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Memory

A short lesson on memory from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Checkpoints

A short lesson on checkpoints from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Task decomposition

A short lesson on task decomposition from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Human approval

A short lesson on human approval from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Termination conditions

A short lesson on termination conditions from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Recovery

A short lesson on recovery from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Execution budgets

A short lesson on execution budgets from the AI Agent Engineering micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

AI Agent Engineering

Recorded video

Start with the topic guide.

Concept scope

Prepare a focused example

Check your understanding

Need a walkthrough?Stay with this topic.

Request a live session for this topic.

Explore 13 focused topics.

Agent loops

Tool selection

Planning

Execution

State

Memory

Checkpoints

Task decomposition

Human approval

Termination conditions

Recovery

Execution budgets

Need a walkthrough?
Stay with this topic.