Are you ready to be an AI Product Manager?Free AI Product Management skill check.
The AI Product Management skill check is five multiple-choice questions, one each on Problem framing, Evals, Success metrics, Unit economics and Responsible launch. It is free, takes about three minutes, and grades you from Novice to Expert with every answer explained.
- 5 questions
- About 3 minutes
- Free
Choose a course
Every course in the AI Tutor has its own check: five questions, one per topic.
Career tracks 11 courses
For a new role: engineer, scientist, analyst or builder.
Sign up free to start. Your answers are graded when you finish and saved to your record.
The AI Product Management skill check.Five topics, one question each.
Question 1 is below exactly as the check asks it. The answer, and why it is right, come with your result.
AI Product Managers sit at the intersection of technology, business, and user experience. You don't need to write production code, but you do need enough technical literacy to make informed decisions, ask the right questions, and earn your engineering team's respect.
This diagnostic tests five areas of general technical literacy that separate effective AI PMs from those who get steamrolled in technical discussions: API design and system communication, algorithmic thinking, version control workflows, code quality principles, and testing methodology.
Three minutes to find out whether your technical foundations are PM-ready.
- Problem framing
AI PMs are judged on picking problems worth solving, not on adding AI.
- Evals
Evals are how an AI PM decides a feature is ready, and how they defend that call.
- Success metrics
Choosing the metric that shows real user value is core AI product work.
- Unit economics
Model costs scale with usage, so AI PMs own cost per task alongside quality.
- Responsible launch
Shipping AI that can be wrong safely is part of every AI PM interview loop.
A stakeholder asks for “an AI feature” in your onboarding flow. What do you settle first?
- AWhich model provider to use
- BThe cheapest vendor quote
- CThe launch date
- DThe user problem, how often it happens and what a good outcome looks like
“Learn AI” means three things.This check tests one of them.
It tests product judgement for AI features: framing the problem, evals, success metrics, unit economics and launch. No code.
- 01
Machine learning foundations
How models learn from data: the statistics, training and evaluation underneath them.
For you ifyou want to train and judge models, as an ML engineer or data scientist.
Take the Machine Learning check - 02
Applied LLM engineering
Building software on models like Claude and GPT: prompts, retrieval, agents, evals and shipping.
For you ifyou write code and want to build AI features, not train models from scratch.
Take the Generative AI check - 03This check
AI for your job
Using AI tools well in the work you already do: briefing them, checking what comes back, keeping data safe.
For you ifyou do not plan to code and want AI to make the work you do faster and better.
Three steps.About three minutes.
It is free and nothing is booked. Save the report to keep it on your account.
- 01
Pick a course
Any of the 21 courses in the AI Tutor, from Generative AI to AI for Teachers. Each check covers five topics.
- 02
Answer five questions
One question per topic, four options each. Nothing is marked until you finish.
- 03
See your readiness
Your readiness out of 10, a skill map, every answer explained, and the path through the course.
Programmes that build on this check.Your result shows where to start.
Each one teaches AI Product Management by building, and ends in deployed work graded against a rubric you can read.
Before you start.Three quick answers.
Do AI PMs need to code?
Not production code, but you need enough technical literacy to evaluate trade-offs, read PRDs, and communicate with engineers. This check tests that literacy.
Why general tech topics instead of AI-specific ones?
AI PMs need broad technical foundations first. The full course covers AI-specific topics like model evaluation, MLOps, responsible AI, and AI product strategy.
Is this relevant for traditional PMs moving into AI?
Exactly who this is for. If you can pass this, you have the technical baseline to start learning AI-specific PM skills.
Rather talk to a person?
Tell us what you want to do with AI. We’ll suggest a programme on a 15-minute call.