Know when to say no to AI
Not every problem needs AI. You’ll have frameworks to evaluate opportunities and kill bad ideas early.
AI Product Thinking
You're making AI decisions every week. Do you have a framework for them?
The problem
Section titled “The problem”Every PM is suddenly an “AI PM.” You’re asked to evaluate AI features, write AI PRDs, and decide between build, buy, or blend — but nobody taught you how. The paid courses give you slides. The blog posts give you hype. Neither gives you a framework you can use Monday morning.
This curriculum does. 9 chapters. Every lesson ends with a decision scenario — real numbers, real constraints, your call. Not knowledge collection. Decision training.
After this course, you will…
Section titled “After this course, you will…”Make build vs. buy decisions with confidence
RAG vs. fine-tuning vs. prompting — you’ll understand the tradeoffs at PM level and choose deliberately.
Ship AI features that users trust
Eval frameworks, red teaming, guardrails — you’ll know how to measure quality before users see problems.
Lead AI product teams
AI PRDs, cross-functional collaboration, responsible AI governance — from execution to organization.
How each lesson works
Section titled “How each lesson works”Every lesson follows the same pattern — no lectures, just structured decision practice:
1. Context
A real situation sets the stage. You’re the PM. Here’s what happened.
2. Concept & Framework
The theory you need — and a decision tool you can apply immediately.
3. Decision Scenario
Real numbers. Real constraints. Two viable options. You decide.
4. Reflect
What did you learn? How does this connect to previous decisions?
Three tracks — start where you are
Section titled “Three tracks — start where you are”| Track | Chapters | You’re here if… |
|---|---|---|
| Foundations | 1–3 | You’re new to AI product decisions. Start from the basics. |
| Builder | 4–6 | You’re actively building AI features and need technical PM skills. |
| Leader | 7–9 | You’re shaping AI strategy, hiring AI teams, or setting governance. |
All tracks end with a Capstone Project — a full AI product case where you apply everything.
Case Studies: Real decisions from Notion AI · GitHub Copilot · Clearview AI · Duolingo Max
Who is this for?
Section titled “Who is this for?”This is you
PM, Tech Lead, or Founder making AI product decisions — without a structured way to evaluate them.
What you need
No ML background. No coding. Just the willingness to practice decisions, not memorize facts.
Time: ~30-40 hours total. Each chapter works standalone (2-4 hours). At your own pace.
Not sure where to start?
Section titled “Not sure where to start?”-
Do you know what a token is and how temperature affects output? Yes → Start at Chapter 2.
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Can you weigh build vs. buy vs. blend for AI components? Yes → Start at Chapter 4.
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Have you already evaluated or shipped an AI feature? Yes → Start at Chapter 7.
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All no? → Start at Chapter 1. The curriculum builds on itself.
Frequently asked questions
Section titled “Frequently asked questions”Do I need a technical background?
No. Technical concepts like RAG, fine-tuning, and model selection are explained at PM level — deep enough to make informed decisions, not deep enough to implement.
How is this different from paid AI PM courses?
Paid courses collect knowledge. This one trains decisions. Every lesson ends with a scenario where you make a call with real numbers. No certificates, no fluff — just skills you use Monday morning.
How long does it take?
Each chapter takes 2-4 hours. The full curriculum takes 30-40 hours. Complete it in 2-3 months at a comfortable pace, or focus on one track.
Can I skip chapters?
Yes. Use the self-assessment above to find your starting point. The three tracks work as entry points.
Is this available in German?
Yes. Every lesson exists in both English and German. Use the language switcher in the top navigation.
Related project
Section titled “Related project” Level Up AI The technical counterpart for developers: a free AI Engineering learning path with code challenges. Same quality, different perspective.
Why this exists
Section titled “Why this exists”The gap between “AI is transforming everything” and “here’s how to make good AI product decisions” is enormous. PMs deserve better than buzzword-filled slide decks. Every framework here is tested against real cases, every scenario grounded in real constraints. Built for people who ship.