AI-Native Product Professional Series
Eight self-paced courses and one certification exam that take you from using AI tools occasionally to running product work with them by default — how to delegate product work to agents and judge what they hand back, how to sense a market and run discovery with it, how to turn an idea into requirements precise enough to prototype from, and how to show the return once it ships. No coding required, and it works with whatever AI tools your team already has.
One certification, eight courses, and a standard your team can actually hold.
Most product organizations have already crossed the line where AI is part of how the work gets done. What they don’t have is a shared bar for what good looks like. One person prompts their way to a roadmap in an afternoon; the next spends a week on the same thing by hand; a third hands a slice of the work to an agent and ships what comes back unread. Everyone is improvising, and nobody can tell you which of the three is doing it right.
This series exists to end the improvising. It starts by setting the bar — what AI is good for in your role, how to judge what a model hands back on criteria you can defend, which initiatives are worth running at all, and how the framework you already run has to bend to accommodate all three. Then it walks the product arc with AI in the loop: sensing a market, running discovery without letting the model invent your customers, delegating the recurring work to agents you have briefed properly, turning an idea into requirements precise enough to prototype from, and proving the return once it ships. Each course stands alone; taken together they build one method, and the exam is where you prove you can run it.
It’s self-paced because product work doesn’t pause for a cohort. Start anywhere in the list, finish in any order, and sit the exam when the whole method is in your hands rather than on a checklist.
What’s inside — 8 courses
Coming soon rows are included in the series. Each one opens automatically the day it lands.
AI Agent-Driven Workflows
Delegate product work to AI agents
AI-Empowered Customer and Market Sensing
Turn market signals into product vision
AI-Empowered Product Discovery
Prove demand before you build
Designing and Prototyping Products with AI
Turn AI prototypes into buildable products
Delivering Real Product Returns on AI Investments
Govern AI releases so value compounds
Maximizing the Value of AI for Product Work
Prove which AI initiatives are worth it
Coming soonEvaluating AI Quality in Product Work
Judge AI output quality with defensible criteria
Coming soonCreating Great Products in the Age of AI
Lead product work through the AI shift
Coming soonCertification exam — AI-Native Product Professional
90 minutes, two attempts included. Sit it whenever you’re ready.
Included
Who should take this series
This is for you if you own product outcomes.
You’re a PM, product leader, or product ops lead accountable for what ships. You need one method for AI-assisted product work that you can model yourself and hold a team to.
This is for you if you’re standardizing how a team uses AI.
Your people are already improvising with AI tools. You want a shared bar — and a credential that says the bar was actually met, not just attended.
This isn’t for you if you’re looking for a technical build.
If you want to fine-tune, deploy, or secure models yourself, this is the wrong room. The series makes you fluent in running product work with AI; it won’t leave you able to stand up the systems.
How the series works
Buy the series and get instant access.
The series and its certification exam, included at no additional charge. Access lands the moment you check out — there’s no cohort to wait for and no order to follow.
Work through the eight courses in any order,
at about nine hours total. Each one stands alone with its own modules and completion badge, so you can slot them between releases rather than setting aside a day.
Sit the exam when you’re ready.
90 minutes, scenario-based rather than recall-based. Pass and the AI-Native Product Professional credential lands in your Credentials tab, shareable and verifiable.
A certification is only worth what the method behind it is worth.
Plenty of AI credentials certify that you sat through something. This one is built the other way around: the exam only asks about work you’d actually do — scoping a discovery pass with AI in the loop, briefing an agent to run work you can stand behind, judging AI output against criteria you can defend, deciding whether a prototype is worth building. Pass it and you have a defensible answer when someone asks what your team’s standard for AI work actually is. That’s the part that outlives whichever model is current this quarter.
