AI Product Management Certification

Why Most AI Products Quietly Die After Launch

Forbes

Entrepreneur

FORTUNE

CIO.com

HuffPost

Adam M. Root

Co-founder of SocialCentiv, $40M exit.

Understand why AI demos impress but fail in real workflows, and what separates adoption from abandonment.

Why most AI products fail after launch

Learn the System of Action framework to design AI features that fit naturally into real user workflows.

How to design AI products users actually adopt

Use a simple test to determine if your AI product will drive adoption or quietly fail after launch.

The 7-question test to validate your AI product idea

Lead a team of developers and designers to create a real life AI product & portfolio that gets you hired or funded

Cohort 3

LinkedIn Top Voice | Featured in Forbes

Google

Apple

Amazon Web Services

Microsoft

Dr. Nancy Li

Award-winning AI Product Director, Forbes-Featured, MIT, 100k+ followers

Cohort 2

Cohort 4

🚫 Not a theory-only course.🚫 Not a solo capstone project.🚫 Not a passive "watch and forget" experience. Here’s what sets us apart:· Build real AI products with a team of AI engineers, data scientists, and designers· Launch with real users - 100,000+ audience of tech professionals and PMs· Receive seed funding from us if you’re a top team.· Get unlimited job referrals from our 1,500+ PMA alumni. Total Value vs. Your Investment🎯 1 AI product developed &amp; launched ($20K) 🎯 1 AI product portfolio ($5K) 🎯 AI PM certification ($2K) 🎯 11 weekly group trainings on AI PM ($3K) 🎯 11 weekly mentor office hours ($5K) 🎯 10X launch exposure to 100,000+ tech followers ($5K) 🎯 Unlimited job referrals &amp; alumni network access ($5K) 🎯 Customized AI PM resume ($500) 🎯 LinkedIn Branding &amp; Go-To-Market Workshop ($2K) 🎯 Opportunity for seed investment (Priceless)💼 Total Program Value: $54,000+Your investment? A fraction of that.This isn’t just a course — it’s your launchpad into AI product leadership and entrepreneurship. 💡Full Program - Phase 1 + Phase 2 (11 weeks)<a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-phase-one">Phase 1 (4 weeks)</a>: Design Your AI MVP Phase 2 (7 weeks): Launch Production Ready AI Product🧐Have additional questions: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.pmaccelerator.io/AI_PM_Course_Application">book a call here.</a>

Don't Just Learn AI, Launch it!

Launch Real AI Products

Validate AI Ideas and Feasibility

Build Hands-On AI Product Skills

Leadership and Collaboration

AI Strategy and Execution

Join a Network of AI-Savvy PMs

Product managers and Sr. PM looking to break into AI and gain real AI experience that sets you apart

Engineers, Consultants, marketers, analysts, designers, and data scientists seeking hands-on experience building &amp; launching real AI product

Startup founders and CEOs who want to launch a real AI product, grow users, and explore seed funding

Go beyond theory — Lead a team of developers and designers to build and launch a real life AI product

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, <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end">visit here</a> 🧐Have additional questions: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.pmaccelerator.io/AI_PM_Course_Application">book a call and get your questions addressed live.</a>

Product managers and Sr. PM ready to upskill in AI and lead with confidence.

Learn how to build, launch, and sell real products so you can move from designer to confident product builder.

Cohort 1

Build products you're proud to launch

Amazon

LinkedIn

GitHub

Nima Tahami

Product Designer (15 years), Instructor (18K+ students), Solo-building @Mokline

Most designers can create polished screens. Few know how to turn them into real products people actually use and pay for.If your ideas are stuck in Figma, the problem isn’t talent; it’s knowing what to build, how much to build, and how to launch.In this 3-week sprint, you will:• Build a working MVP• Launch a conversion-focused landing page• Put your product in front of real users at a real price• Use modern tools, including AI, to move fast and stay focusedThis is not a coding bootcamp. It’s a hands-on launch experience where you practice real product decisions, ship imperfect work, and learn from real-world feedback.The bar for designers has changed. Designers who can ship, launch, and sell have the advantage. If you’re ready to stop waiting and start shipping, this course is for you.

Build, ship, and launch your own product during this 3-week cohort

Build and launch a real MVP with a clear path to your first sale

Choose the right product idea with confidence

Think and act like a product builder, not just a designer

Create a landing page that clearly sells your product

Put your product in front of real users and ask for money

Experienced designers who want to turn product ideas into a real MVP and prove they can ship and sell beyond client or team work.

Designers curious about entrepreneurship who want a low-risk, practical way to launch a first product without quitting their job.

Product-minded creatives who work close to products but want end-to-end ownership and leverage beyond hourly or salaried work.

Lead AI initiatives with clear goals, defensible evaluation, explicit risk decisions, and exec updates that drive alignment and investment.

CPO, GM xBraintrust, Nextdoor, OpenTable

Braintrust 🧠

Nextdoor

LiquidSpace I Work from where it works.

OpenTable

BlackRock

Elena Luneva

f-CPO. Product executive (Braintrust, Nextdoor, OpenTable, LiquidSpace)

Ex-Alexa AI Principal PM

Elsevier

Schneider Electric

Polly Allen

Ex-Alexa AI PM turned founder at AI Career Boost

Magic

AI increases what your ICs can do. It also breaks the management systems most teams rely on.Prototypes multiply. Quality becomes subjective. Risk ships quietly. You end up in every review because no one is sure what "good" looks like — or who's accountable for evals, failure modes, and rollout decisions.If you're a Director, Head of Product, or VP with multiple AI initiatives in flight: you're managing something you didn't build a system for yet. Execs keep asking "How do we know it's good?" and "What's the ROI?" — and you're the one fielding it.This two-day workshop gives you the operating system. Not theory. Not frameworks. The actual playbooks, artifacts, and rituals high-performing, AI-native teams use — built during the workshop so you leave with real deliverables, not homework.Leave with:1. A 90-day AI portfolio — clear bets, owners, and decision gates so nothing gets orphaned2. A repeatable risk review process your team can run without pulling you in3. A shared quality bar — examples, acceptance criteria, and review gates so "is this good enough?" stops being a judgment call4. Reusable operating artifacts built during the workshop — actual deliverables, not slides

Get the operating system used by high-performing AI-native teams

Install an AI-native operating cadence that keeps speed and alignment

Run AI risk reviews that drive decisions and confidence

Own and drive evaluation metrics and process, before and after launch

Implement playbooks that let your team move with you, not wait for you

Director/Head of Product: Leads AI initiatives; turns prototypes into production with clear quality, gates, and exec updates.

Eng leader (Sr Mgr/Dir/VP): Ships AI fast while managing reliability, security, and cost with consistent eval + risk reviews.

Data/ML leader (Dir/Head): Owns evals and performance; aligns product and execs with shared language and decision-ready tradeoffs.