AI-First Product Management — build products the AI-native way.
Product strategy, prompt-driven prototyping and AI feature scoping for PMs who want to lead, not follow.
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50+ founders consulted last month
Most PM courses still teach roadmaps for a pre-AI world. This one teaches you to scope, prototype and ship AI-native product features — with the same rigor as any other product decision.
Course outcomes
Every module ships with a working tool or template you keep using after class.
Scope AI features properly
Frameworks for deciding where AI genuinely helps versus where it's a distraction.
Build clickable AI prototypes fast
No-code and LLM-API prototyping so you can test ideas in days, not sprints.
Design UX for uncertainty
Patterns for confidence scores, fallbacks and human-in-the-loop flows.
Ship a real AI feature case study
A portfolio-ready case study from scoping to launch metrics.
Why AI-first, not AI-added
Bolting a chatbot onto an existing product isn't AI strategy. This course teaches you to identify where AI genuinely changes the user experience, and how to scope, prototype and ship it responsibly.
Who this is for
- Product managers who want to own AI features, not hand them to engineering
- Founders building AI-native products
- PMs preparing for AI-focused product roles
Week-by-week breakdown
A clear, transparent syllabus — no surprises.
PM fundamentals for AI products
What changes — and what doesn't — when your feature involves a model.
Scoping & feasibility
Deciding what's buildable, what's safe, and what's worth building.
Prototyping with no-code + LLM APIs
Get a working prototype in front of users fast.
Metrics, evals & launch
Define success metrics and evaluation criteria before you ship.
01Do I need a technical background?
No coding required, though comfort with basic technical concepts helps.
02Is this for PMs only?
Primarily, but founders and designers making AI product decisions get value too.
03What tools do you use in class?
No-code prototyping tools plus OpenAI/Anthropic APIs for hands-on exercises.
04Is there a capstone project?
Yes — you'll scope and prototype a real AI feature by the end of the cohort.
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