AI Product Management
Understand the role before you specialise. What an AI product manager actually is, and how it differs from the roles it is often confused with.
Fundamentals is where everyone should start. Before model fluency, strategy or leadership, you need a clear picture of what the job is, what it owns, and how it differs from a traditional product manager or a data scientist. Get this right and every other track makes more sense.
Guides and tools
Everything in the AI PM Fundamentals track. Live pages open now, more are on the build roadmap.
What is an AI product manager?
The role explained without jargon: what an AI PM owns and the skills that matter.
Read guide → LiveAI PM vs PM vs Data Scientist
How the three roles differ and overlap, and which fits your background.
Read guide →AI PM roles and responsibilities
A closer look at what lands on an AI product manager's desk day to day.
In progressThe AI product lifecycle
How building an AI product differs from a normal product lifecycle.
In progressGenerative AI PM, explained
What changes when your product is built on generative models.
In progressCommon questions
Frequently asked questions
Where should a total beginner start?
Start here, with what an AI product manager is, then read how the role compares to a PM and a data scientist. Once the role is clear, move to the Fluency track to build the model understanding the job needs.
Is this track technical?
No. Fundamentals is conceptual and beginner-friendly. It explains the role and its boundaries without requiring any coding or model knowledge. The technical fluency comes in the next track.
How many guides are in this track?
Two are live now, with more on the roadmap covering responsibilities, the AI product lifecycle and generative AI product roles. Live guides open immediately.