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AI agentsHands-onIntermediate

Build Your First Useful AI Agent

Go from a repetitive workplace task to a small, testable agent that can plan steps, use tools and stay inside clear human guardrails.

2h 05m total18 lessons1 guided project4.8 illustrative rating
David Okoye
David Okoye
AI product builder and learning designer
Developer creating an AI workflow
Free preview · Lesson 014:12
What you will be able to do

Build one agent you can explain, test and trust.

01

Choose a sensible agent task

Spot work that benefits from planning and tools—not work that needs human judgment alone.

02

Map the workflow

Turn an unclear process into inputs, decisions, tool calls, outputs and review points.

03

Prototype without overbuilding

Create a small working flow using a visual builder and reusable prompt patterns.

04

Evaluate before you automate

Test quality, handle failure cases and define where a person must approve the result.

Course plan

Six practical chapters.

Every chapter ends with a small decision or build step, so the final project grows as you learn.

Welcome: agents without the hype4:12
Task, workflow or agent?6:38
Choose your project use case6:10
Draw the happy path7:04
Find judgment and risk points8:16
Create an agent brief6:40
Write the system instruction8:01
Structure context and memory6:20
Add output contracts5:39
Tools as controlled abilities7:18
Build the first tool step10:11
Set access boundaries6:31
Create a small test set6:41
Score quality consistently8:12
Design a safe failure7:07
Improve, then retest6:00
Run a human-in-the-loop demo7:28
Pitch the next safe iteration6:32
Team reviewing an AI project
Your guided project

A meeting-to-action agent.

Build a prototype that turns a meeting transcript into decisions, owners and draft follow-ups—then routes the result to a person for approval.

Agent briefWorkflow mapEvaluation setDemo script
Meet your instructor
David Okoye

David Okoye

David teaches teams to make AI systems useful before making them complex. His courses focus on workflow design, evaluation, agent patterns and the human decisions that keep automation trustworthy.

7 courses32 guided labs4.9 illustrative score
View instructor profile →
Keep building

Related practical courses.

Pair agent-building with better prompting, responsible use and clear team leadership.