Map Your AI Product Opportunities — and Own the Ones That Matter
Join Mike Emonts (Principal PM, Azure AI · Microsoft) for a free live session.
Mike Emonts
Principal PM, Azure AI · Microsoft
⭐ 4.9 / 5
Design product strategy for a world where intelligence is built-in.
AI is not just a new capability. It fundamentally changes how products create value, how users interact with software, and how companies compete. Most teams approach AI as an add-on — layering copilots and automation on top of existing workflows. The result is incremental improvement, not transformation. This course is about something different: how to rethink product strategy from the ground up in an AI-first world. You'll learn how to identify where AI actually changes the product paradigm, design around probabilistic systems, and make strategic decisions where capabilities are evolving faster than roadmaps.
What You'll Learn
AI Product Frameworks
The exact mental models top PMs use to evaluate AI opportunities, define scope, and prioritize ruthlessly.
Build vs Buy vs Partner
How to make AI architecture decisions as a PM — without needing to write code.
Metrics & Evals for AI Products
How to define success for AI features where outputs are probabilistic, not binary.
Ship AI Features Fast
From PRD to production: the workflow top AI PMs use to move from idea to launched in weeks, not quarters.
Who Is This For?
This course is designed for:
Current PMs
Who want to own AI features confidently and get ahead of the AI curve in their role.
Transitioning Professionals
Engineers or analysts moving into PM who want to lead AI products from day one.
Senior PMs & Leads
Who need to set AI strategy, influence roadmaps, and brief engineering on AI requirements.
Course Outline
6 weeks · 3 sessions per week
Projects You'll Ship
Leave with real work to show, not just a certificate.
AI Opportunity Canvas
Map AI opportunities in your product space using a structured framework used at top tech companies.
AI Feature PRD
Write a production-grade PRD for a real AI feature — reviewed live by your instructor.
AI Product Capstone
End-to-end AI product strategy: problem definition, solution design, metrics, and go-to-market — presented in the final session.
Your Instructors
Mike Emonts
Principal PM, Azure AI · Microsoft
⭐ 4.9 / 5
Mike is a Principal Product Manager at Microsoft, where he builds and scales AI-powered products across Azure AI and GPT-based systems. With deep experience across product strategy, AI platforms, and cross-org execution, he helps PMs develop product sense and think clearly about building in the AI-first era.
What Students Say
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"I went from understanding AI to owning the roadmap. Sara's opportunity canvas is now standard on every AI initiative we evaluate."
Marcus Webb
Senior PM · Figma
⭐⭐⭐⭐⭐
"The PRD framework alone saved us weeks of back-and-forth with engineering. I use it on every AI feature now."
Danielle Park
Product Lead · Lattice
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"I went in an IC PM. I came out ready to lead an AI product team. The capstone was the portfolio piece that got me promoted."
Jordan Hayes
Director of Product · Brex
Course Schedule
All sessions are instructor-led and live. Recordings available within 24 hours.
SUNDAY
9:00 AM PDT
Live ClassPrimary topic deep dive with instructor. Includes lecture, case studies, and live Q&A.
WEDNESDAY
6:00 PM PDT
Coaching SessionSmall group technical coaching. Bring your questions and current blockers.
THURSDAY
6:00 PM PDT
Practice SessionHands-on practice and peer review. Work through assignments with cohort support.
Frequently Asked Questions
Related reading
The JD-backed research behind this course — from Dexity Intel.
What Does a Product Manager Career Look Like in 2026? →How far do you want to go?
Start free to experience our offering, choose the program length you would want to commit to.
You build. Nobody demos at you.
Every session is follow-along — you build the thing yourself while a practitioner works beside you. That is why the hours look long: they are yours to build in, with an expert on hand to guide you. None of it is a traditional lecture.
In the session, you'll: