Build an AI-confident Product Team
Michael Hirsch
Product Leadership + AI Expert
While Your Peers Position Themselves as AI Leaders, Where Does That Leave You?
Your team is using AI—but it's chaos. Everyone's got different tools. Someone swears by ChatGPT, another uses Claude. No one can explain what's working. Your "AI strategy" is random experiments with no measurable impact.
Other product leaders are building systematic capabilities, transforming teams, and getting executive recognition.
This course moves you from AI chaos to AI confidence.
In three weeks, you'll:
Assess your team's AI readiness using a 6-competency framework
Design systematic upskilling plans that build real capability
Build AI product strategies with clear metrics and timelines
Lead governance decisions that balance innovation with responsibility
What makes this different: You work on your actual challenges—not case studies. You use frameworks I've developed with enterprise product teams. You create implementation plans for your context, not generic best practices.
Real outcomes from past students: Kate was promoted to Group Product Manager and now leads her company's AI development team. Dan launched his company's AI Studio despite having no coding experience.
No technical background required. Just product leadership experience and commitment to execution.
What you’ll learn
Stop managing AI chaos. Build systematic capabilities that drive measurable impact using frameworks previously tested with enterprise teams.
Use a 6-competency assessment framework to reveal capability gaps across productivity, strategy, development, ethics, and leadership
Apply the same diagnostic tool I use with enterprise teams—no guesswork, just systematic evaluation of strengths and weaknesses
Leave with a completed scorecard showing your three highest-leverage improvement opportunities and exactly where to focus effort
Design role-specific 90-day learning paths that match individual skill levels rather than forcing everyone through the same approach
Create implementation roadmaps with clear milestones, accountability mechanisms, and success metrics that prove capability growth
Build sustainable learning cultures through peer mentoring and knowledge-sharing systems that outlive any single training initiative
Apply the 5 Principles framework—transparency, fairness, accountability, privacy, safety—to systematically evaluate every AI feature
Use decision trees showing when features need deep ethics review versus quick evaluation—eliminate both bottlenecks and blind spots
Build governance processes that scale across your organization without creating bureaucratic overhead that slows every decision
Work on your actual team dynamics and organizational constraints throughout the course—not fictional case studies or generic examples
Use templates and frameworks refined with enterprise product teams—ready for immediate implementation, not theoretical exercises
Leave with four completed deliverables: team assessment, upskilling plan, governance framework, and implementation roadmap
Who this course is for
Product Managers stuck taking notes while less experienced colleagues lead AI initiatives because they can articulate strategic value better
Senior PMs recently promoted to team leadership discovering that building AI-capable organizations requires completely different skill sets
Product Leaders managing AI experimentation theater: everyone uses different tools, no one can explain what works, leadership wants answers
What's included
Live sessions
Learn directly from Michael Hirsch in a real-time, interactive format.
Battle-Tested Frameworks (Not Academic Theory)
Assessment tools, decision matrices, and implementation templates I use with enterprise product teams. These frameworks were developed leading teams through high-stakes decisions at Sony, Qualcomm, and T-Mobile—not theorized in classrooms. You get current versions of everything—the same tools I'm deploying with clients today.
Peer Network of Product Leaders Facing the Same Chaos
Learn alongside senior PMs and product leaders from Google, Amazon, Boeing, and Qualcomm facing similar challenges. This isn't networking theater—it's your cohort navigating organizational dynamics, executive skepticism, and team capability gaps together. The relationships often outlast the course as students stay connected.
Four Strategic Frameworks (Applied to Your Work)
Work through four critical frameworks during the course: (1) Team AI Readiness Assessment identifying capability gaps, (2) 90-Day Upskilling Plan with role-specific paths, (3) AI Governance Framework for your context, (4) Product Roadmap with AI initiatives. How far you take each depends on you—but you'll have the structure to finish them.
Work on Your Challenges (Not Fictional Case Studies)
Every framework gets applied to your actual organizational challenges. You'll assess your real team, analyze your actual product roadmap, evaluate your specific governance needs. No hypothetical scenarios about companies you don't work for. This is strategic capability building using your work as the canvas.
Direct Instructor Access (Not Just Office Hours)
Email me when you hit roadblocks applying frameworks to your specific situation. I respond to all student questions—usually within 24 hours. This isn't "limited office hours once a week." You're not in this alone. If you're stuck translating a framework to your context, ask. I'll help you work through it.
Small Cohort Format (Actually Interactive)
Capped at 15 participants so everyone gets attention, feedback, and coaching on their specific challenges. You're not audience member #147 watching someone else get help. Large cohorts create anonymity. Small cohorts create accountability, real discussion, and the ability to dig into nuanced organizational dynamics that don't fit tidy frameworks.
Professional Certification (Signal AI Leadership)
Certificate of completion that demonstrates strategic AI capability—not just tool usage—to stakeholders, leadership teams, and future employers. While your colleagues are still figuring out ChatGPT prompts, you can point to systematic frameworks, completed assessments, and proven implementation approaches.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
6 live sessions • 11 lessons • 4 projects
Week 1
Week 1: From Sideline Observer to Strategic Participant
Dec
2
Live Session #1: From AI-Anxious to AI-Confident: Building Your Strategic Foundation
Implementation Project #1 - Your Strategic AI Positioning Audit
Dec
4
Live Session #2: The Art of AI Strategy: Making Decisions That Get You Noticed
Week 2
Week 2: From Team Follower to Transformation Leader
Dec
9
Live Session #3: Leading AI Transformation: Building Teams That Execute
Implementation Project #2 - Team AI Readiness Assessment
Dec
11
Live Session #4: Shipping AI Products That Matter: Beyond the Technical Hype
Free lesson
Create an AI Agent to Stop the Feature Request Madness
Build a working AI agent in 20 minutes
Follow along with a step-by-step live demo to create a functional AI agent you can implement immediately afterwards.
Transform Sales-Product communication
Discover how an AI agent can bridge the communication gap and educate sales teams to submit complete feature requests.
Define your feature request quality standards
Learn to create standardized evaluation criteria that automatically identifies incomplete requests and reduces rework.
Schedule
Live sessions
3 hrs / week
Two 90-minute interactive sessions per week where you work on frameworks in real-time. This isn't passive lecture time—you're building assessments, designing strategies, and getting coached on your specific challenges while we work together.
Tue, Dec 2
5:30 PM—7:00 PM (UTC)
Thu, Dec 4
5:30 PM—7:00 PM (UTC)
Tue, Dec 9
5:30 PM—7:00 PM (UTC)
Projects (Recommended)
2-3 hrs / week
Apply frameworks to your actual work between sessions. How deep you go is up to you—some students do the minimum to stay current, others use this as dedicated time to solve problems they've been avoiding. The frameworks work either way, but you get more value the more you engage.
Async content (Optional)
1 hr / week
Recorded session reviews if you miss something or want to revisit concepts, plus framework documentation and templates. Most students reference these as needed rather than treating them like required viewing. Use what's helpful, skip what's not.
Success stories
- Michael's AI course was the catalyst that launched my transition into AI leadership. Seven months later, I'm now leading our AI development team and presenting AI roadmaps to enterprise clients like Google, Amazon, and AT&T. The course didn't just teach me tools - it gave me the strategic foundation and confidence to take on AI leadership roles.
Kate Mosley
Senior Product Manager - The course fundamentally changed my mindset about what's possible with AI. I went from idea to functional prototype in just 6 hours - despite having virtually no coding experience. I'm now building an AI app that became foundational to our newly established AI Studio.
Dan Beatrup
Senior Product Manager - Michael's AI Product Leadership program delivered exactly what we needed... We've seen immediate results - team members winning internal competitions, building productivity tools, and achieving 5-10 hours per week in time savings. Most importantly, the program created a culture of AI experimentation.
Pali Dhanoya
Head of Product
Watch Me Build: AI Agent That Fixes Incomplete Feature Requests (5 min. demo)
See my teaching method: solving real PM problems with AI frameworks you can deploy Monday morning.
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Frequently asked questions
Save 25% until Monday
$799
USD
2 cohorts