AI product leader

Decide which AI products to build, and launch them responsibly.

This is you

You are a product manager, a product owner, a founder or a business leader. You decide what to build, and why. You want to know what AI can really do, what it costs, and how to launch it safely.

Where you are going

An AI product leader

Know what AI can and cannot do, without the hype
Choose AI use cases with clear value, and say no to the bad ones
Define what “good enough” means before your team builds
Launch AI features with the right controls for risk, privacy and cost

3 stages
10 courses, 10 available now
About 67–89 hours of study
2 certificates of completion + 7 concepts certificates

How much code you need

No code
Read code
Some code
Code is central

You do not need to write or run any code on this path. Some lessons show code for the engineers who read them too: you can skip it. The diagrams, the examples and the knowledge checks give you everything that you need.

Your route, stage by stage

Each stop is a course. Its shape tells you how much of it to take.

Full course. The whole course, with its practice. It leads to a certificate of completion.
Concepts. Only the concept modules, read without running code. They lead to a concepts certificate.
Optional. Useful for some people. You do not need it, and it is not counted in the time.

You, today
Stage 1 Know what AI can doabout 14–19 h
1. AI Career Foundations: Roles, Skills and Roadmaps
  Full course4–6 h
  See how AI products are made, and who makes them.
2. LLMs: How They Work and How to Choose One
  Concepts4–6 h
  What LLMs can and cannot do, and how to choose one.
  Focus: Modules 1–4. Read the code and the notebooks; you do not need to run them.
3. Machine Learning: From Problem to Reliable Model
  Concepts6–7 h
  How a prediction product works, and how to measure it.
  Focus: Modules 1–3. Read the code and the notebooks; you do not need to run them.
Stage 2 Decide what to buildabout 27–35 h
1. RAG: Building AI That Uses Your Data
  Concepts10–13 h
  AI that answers from your own data.
  Focus: Modules 1 and 4–6. Read the code and the notebooks; you do not need to run them.
2. AI Agents and Workflow Orchestration
  Concepts7–9 h
  When an agent is the right product, and when it is not.
  Focus: Modules 1, 4 and 6. Read the code and the notebooks; you do not need to run them.
3. Evaluating and Testing AI Systems
  Concepts10–13 h
  Define “good enough” before your team builds.
  Focus: Modules 1–5. Read the code and the notebooks; you do not need to run them.
Stage 3 Launch and leadabout 26–35 h
1. AI Security, Privacy and Responsible Design
  Concepts7–10 h
  Risk, privacy and human oversight.
  Focus: Modules 1, 2, 4 and 5. Read the code and the notebooks; you do not need to run them.
2. AI System Design and Cost Engineering
  Concepts7–9 h
  What AI costs, and how to keep the cost under control.
  Focus: Modules 1–3 and 6. Read the code and the notebooks; you do not need to run them.
3. Leading AI Products and Teams
  Full course12–16 h
  The core of this path: choose use cases, plan and lead the launch.
4. Document and Multimodal AI
  Optional16–22 h
  For products that read documents and images.
You arriveAn AI product leader

Earn certificates as you go

You do not need to finish the whole path to show what you learned. Each full course gives a certificate of completion, and each concepts course gives a concepts certificate. Share each one when you get it.

Make it my path All learning paths

Choose this goal in your profile. My learning then shows your progress on this route, and the weeks it takes at your pace.