LinkedIn Top Voice | Featured in Forbes
This Isn’t Just Another AI PM Course. It’s a Proven Launchpad — where you’ll build and launch a real AI product in just 4-11 weeks.
You’ll join a team of AI engineers, data scientists, and designers to:
· Lead product development from idea to launch
· Validate user needs, data readiness, and model feasibility
· Design, prototype, and iterate with technical experts
· Build and ship a real MVP with actual users
· Launch publicly across our 100,000+ tech community
And beyond launch:
· Build a portfolio proving hands-on AI product skills
· Strengthen leadership and cross-functional collaboration
· Gain confidence in AI strategy and execution
· Join a network of 1,500+ PMs building together
· Position yourself as an AI-ready product leader
We’ve been running this bootcamp long before we joined Maven. In fact, Product Manager Accelerator (our parent company) has already graduated 6 successful cohorts, launching 50+ real-world AI products last year.
Two Phases. One Real AI Product.
Phase 1: Design Your AI MVP (Weeks 1–4)
Phase 2: Launch Production Ready AI Product (Weeks 5–11)
Learn the full details of Phase 2, visit here
🧐Have additional questions: book a call and get your questions addressed live.
Go beyond theory — Lead a team of developers and designers to build and launch a real life AI product
Work in cross-functional teams with AI engineers, data scientists, and designers
Build a production-ready MVP, not just a mockup
Launch publicly to 100,000+ tech community for real user feedback
Conduct user research to identify real pain points
Analyze data availability and model feasibility with technical guidance
Apply AI product frameworks and case studies to assess viability
Design, prototype, and iterate using real tools and collaboration platforms
Gain experience managing end-to-end AI product lifecycle
Create a portfolio of launched AI products demonstrating tangible results
Lead cross-functional teams through structured workflows and check-ins
Learn decision-making frameworks for prioritizing AI product features
Practice stakeholder communication and team alignment in real projects
Learn AI product strategy frameworks and lifecycle best practices
Turn MVPs into launched products with measurable impact
Receive mentor feedback and real-world guidance on execution
Connect with 1,500+ alumni working at top tech companies
Access collaboration, user testing, and funding support via alumni network
Participate in ongoing community demos, knowledge-sharing, and case-study reviews
Award-winning AI Product Director, Forbes-Featured, MIT, 100k+ followers
Product managers and Sr. PM ready to upskill in AI and lead with confidence.
Engineers, Consultants, marketers, analysts, designers, and data scientists seeking hands-on experience building & launching real AI product
Startup founders and CEOs who want to launch a real AI product, grow users, and explore seed funding
Live sessions
Learn directly from Dr. Nancy Li in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
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.
13 live sessions • 10 lessons
Jan
20
Create Winning AI Product Strategy
Jan
20
AI 101 and Program Kick Off
Jan
21
PM: Structuring Your Product Team for Success
Jan
25
Office hours/Q&A sessions to clarify doubts
Jan
27
AI PM Life Cycle Session
Jan
27
Group Project Kickoff: Pitch ideas, and assemble a team of PMs and AI designers
Feb
1
Office hours/Q&A sessions to clarify doubts
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How top companies like Google, Apple, Amazon, as well as AI startups select and hire AI product manager candidates.
Demystify AI PM VS Traditional PM. Decide whether AI PM is the right career path for you.
Discorver our secret AI product management lifecycle framework that enabled us launching 21 AI products in 3 months.
Live sessions
5 hrs / week
Tue, Jan 20
1:00 AM—2:00 AM (UTC)
Tue, Jan 20
2:00 AM—3:00 AM (UTC)
Wed, Jan 21
12:30 AM—3:30 AM (UTC)
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Brian Luc: From Hardware Engineer to Tech Lead at MAANG Company
Katherine Sao: From Laid Off to AI Product Manager
Angela Han: From Consultant to AI Product Manager
Zee: From Consultant to AI Product Manager







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$1,497
USD