Find the right opportunity
Decide where an agent helps, where a simpler workflow fits, and what success means.
AGENTIC AI FOR PRODUCT MANAGERS
Make better
decisions about
AI agents.
Learn how agents work, test their quality, estimate their costs, and plan a product that uses them.
18 self-paced modules · No coding required · No course fee
AN AGENT, MADE VISIBLEIllustrative example
01 / REQUEST
“Prepare a customer refund.”
02 / MODEL DECISION
Check the order and refund policy.
Order lookupPolicy lookup
03 / HUMAN CHECK
A person approves before money moves.
A checkpoint adds time and gives a person the final decision.
Same request. A different product decision.
FROM CURIOSITY TO PRODUCT JUDGEMENT
Go beyond the demo.
Test what actually works
Inspect failures, build an evaluation plan, and choose evidence over a convincing answer.
Make trade-offs visible
Estimate total cost, choose safeguards, and explain your product decisions.
Build a portfolio
Turn each module into a practical brief, test plan, policy, or product specification.
A REAL TASTE OF THE COURSE
Start anywhere.
See how you learn.
Three selected lessons. No account needed.
Watch, read, and explore at your own pace.
01 / FOUNDATIONS
What is a model? ↗
Start with the idea behind the technology.
Open free sample05 / GROUNDING
The shape of an answer ↗
Explore how splitting a document changes what an agent can find.
Open free sample17 / BUILD STUDIO
Inspect a reference build ↗
See how a product manager examines a supplied workflow.
Open free sampleTHE COMPLETE PATH
Build understanding.
Then build your case.
Follow the sequence, revisit a difficult idea, or practise what you need. Your free account keeps your place.
Explore the full course ↗STARTChoose Your Course Project+
See how the course works, then choose a product to practise on.
01Language Models, Tokens & Prompts+
See how a language model uses small pieces of text called tokens to answer your instructions.
02APIs, JSON & Workflows+
Read the messages and steps that let software systems work together.
03AI Agents & Multi-Step Reliability+
Understand agents that choose actions and why errors add up across steps.
04Context Limits & Model Sampling+
Understand what a model can use at once and how it chooses between possible answers.
05Retrieval-Augmented Generation (RAG)+
Find relevant information and give it to the model before it answers.
06The Agent Loop+
Follow the cycle of choosing an action, using a tool, checking the result, and stopping.
07Tools, Context Engineering & MCP+
Describe tools and connect them through Model Context Protocol, a shared connection format.
08Multi-Agent Coordination+
Decide when several agents should work together and how to divide their work.
09Agent Memory & State+
Decide what an agent should remember and how to track unfinished work.
10Agent Evaluation+
Build tests that show whether an agent does the job well enough.
11Agent User Experience & Trust+
Design what people see, approve, and control when an agent acts.
12Agent Reliability & Security+
Find failures, limit damage, and protect tools and information.
13Agent Costs & Model Selection+
Estimate the cost of a completed task and choose models that fit the job.
14Agent Product Requirements+
Write the goals, limits, and evidence needed to build your agent product.
15Agent Pricing & Go-to-Market+
Choose who the product serves, how to charge, and how to reach customers.
16Agent Development & Team Roles+
Plan how a product team builds, tests, releases, and maintains an agent.
17Building & Testing Your Agent+
Build one bounded workflow, measure its results, and improve one important failure.
18Agent Readiness & Portfolio+
Review your evidence, decide what is ready, and keep a useful record of your work.
ON YOUR TERMS
A course that fits around your work.
Try it
Explore the public samples before joining.
Join free
Create an account to access the entire course.
Learn and practise
Read or watch, make predictions, and try the simulations.
Keep your place
Save progress across devices and revisit due review cards.
BEFORE YOU BEGIN
A few useful answers.
Is the course really free?
Yes. There is no course fee. Some optional external tools may have their own charges; you can decide whether to use them.
Do I need to know how to code?
No. The course uses explanations, browser simulations, practical decisions, and workflow tools.
How long do I have to complete it?
It is self-paced. The 18 modules describe the learning sequence, not a deadline.
Why create an account?
An account unlocks the full course and saves your learning progress across devices. The three public samples work without one.
Are the videos private?
The videos are Unlisted on YouTube. Anyone who receives a video link can play it. Your account protects the course pages and your saved progress.
YOUR NEXT PRODUCT DECISION STARTS HERE
Understand the agent.
Own the decision.
Join the course free ↗No course fee. No coding required.