Roger Jin

How to Validate AI Product Ideas and Build a Defensible MVP

Google

Amazon

ex-Product Lead @Google DeepMind, 2x Founder, AI Strategy Coach

Chris Quimby

Managing Partner, Healthcare IT Services, ROl Healthcare Solutions

A proprietary framework to assess AI product ideas, inspired by proven processes from Google and successful AI labs

The "AI Product Opportunity Canvas"

How to evaluate user problems, craft a compelling AI-native value proposition, design for data and defensibility

5-Step Playbook to Land an AI-Native MVP

How AI product leaders and founders are finding the market niche in industries such as healthcare, legal and finance

Real AI-Native Product Success Cases

How to set up tight user feedback loops and leverage Human-in-the-Loop (HITL) as your secret validation weapon

How to Build Fast Feedback Loops with User and Human Evals

Clients want coaching, your team wants direction, and leadership wants you to 10× your own output with AI - all while the AI tech stack changes every week. When you're not-technical and don't have the time to become technical, this becomes an insane challenge to overcome.&nbsp; It's also the challenge that I had to solve for myself. At Accenture, I went from being a non-technical leader to securing $2M in funding for AI initiatives. Then I helped build the AI strategies that drove productivity improvements for over 14,000 consultants. Today, I advise both tech startups and Fortune 1000 companies on becoming AI-native organizations. What you need are frameworks and cheat sheets on what really matters in deciding what, how, and when to apply AI. This cohort isn’t “AI 101.” It’s applied enterprise-grade learning for leaders who want to be ahead of the curve, not catching up to it. Unlike broad "AI for Leaders" courses that just cover definitions, this live lunch-time cohort is hands-on -- you'll pick your top use cases, calculate ROI, decide on the tech stack, and try your hand at automating some of your own workload. WHAT TO EXPECT:Format: four live, lunch-time sessions across two weeksSupport: two optional interactive office hours for hands-on helpPrep: bite-sized, zero fluff—show up, apply, move onOutcome: identify high-impact AI use-cases, craft an executable plan, and become the AI-native voice in your org (or for your clients) WHAT WE'LL COVER:- Pinpoint problems that are truly AI-solvable (we’ll choose them live)- Scope projects that become career-making case studies, not budget sinkholes- Speak “just-technical-enough” about GenAI, agents, ML, and automation- Make smart Build • Buy • Vibe-Code calls to save cash and time- See case studies from companies seeing 70%-300% improvements in productivity, marketing, engineering, and product management- Select platforms for low-code / no-code AI automations- Set realistic expectations with leadership and clients- Overcome resistance and build cross-functional buy-in- Avoid the costliest implementation traps- Keep your strategy relevant as the tech leaps forward TOOLKIT YOU'LL TAKE WITH YOU:1. Build, Buy, Vibe-Code AI Solution Decision Matrix2. AI Vendor Assessment Checklist3. “Why We’re Going AI-Native” Narrative Template4. 7-Point Checklist to Avoid AI Project Failure5. Handpicked list of my personal AI tech stack (the coolest AI products in the market right now) to explore The goal isn't to make you a technical expert - it's to give you the confidence to lead AI initiatives successfully. WHO WILL BENEFIT MOST FROM THIS COURSE: - You're responsible for AI projects but don't have a technical background- You need to make strategic decisions about AI investment- You're leading consulting engagements and clients want coaching on AI- You're bridging the gap between technical teams and business objectives- You want to position yourself as a forward-thinking leader WHO THIS IS NOT FOR: - Developers or AI engineers seeking technical implementation skills- Those expecting to become AI experts overnight- People looking for general "this is what ChatGPT is" courses If you're still not convinced, consider this: The price of this course is a fraction of the cost of a single failed AI project (so you should ask if your company will pay for this). And even if they won't, this is a small investment towards making your career future-proof.

Expectations have never been higher...

Course syllabus

Use your lunch hour for the most impactful activity you could have on your plate -- future-proofing your career.

Wednesdays & Fridays Live Sessions

Open Office Hours for any questions and deep dives.

Thursday AMA Office Hours

Course schedule

Team leads, directors, and department heads who have been "volun-told" to implement AI and need to show a plan, quickly.

AI consultants who need structured frameworks to help clients decide on AI use cases, execution, and ROI.

Execs, founders, and business owners who need to set the AI strategy for their org and can't afford to make costly mistakes

Who should take this course

What you’ll get out of this course

Companies are already seeing huge results...HubSpot improved email performance by 70%, Gumroad increased feature releases by 300%. Don't reinvent the wheel. Learn directly from real, behind-the-scenes case studies - and leave with a tangible plan for your team.

Leapfrog to picking 2-3 of the most impactful AI use cases based on what top AI leaders are doing

Decision fatigue is real -- and not all use cases need to be custom-built (and who has engineering resources for that, anyway). You'll be able to confidently decide how you should implement each use case to maximize speed to value. We'll apply this framework together in real time

Steal my framework for quickly deciding whether to Build, Buy, or "Vibe Code" AI solutions

Learn how to prompt AI agents like a boss, pick the right platform (Zapier, Make, ChatGPT, N8N), and start to automate your own work so you can deliver 10x more value.

Vibe code your AI "quick wins" live

74% of companies are struggling to see value beyond an AI proof of concept. We'll cover what makes a good AI deployment (to AI agent or not to AI agent) so your efforts stay relevant and scale over time. We'll analyze real situations from within the cohort.

Deconstruct the best practices and top mistakes companies make when deploying AI internally

AI tech isn't even the hardest part -- AI leaders are putting 80% of their effort into aligning people and processes. You'll leave with a clear, actionable roadmap to transform your team into an AI-Native powerhouse.

Create your own "Why We're Going AI Native" narrative to gain buy-in from your team

Pick winning AI use cases, gain confidence in executing your AI plan, and get recognized by bosses and clients for being AI-native

Lauren Vriens

Cohort 1

Cohort 2

The ProblemAfter speaking with hiring managers at Google, Meta, Microsoft, Nvidia, and Amazon, one message is clear:“We don’t hire PMs who’ve learned AI — we hire PMs who’ve shipped it.” Many product managers struggle to:· Lead cross-functional teams to build real AI products· Validate AI feasibility with real data and models· Develop production-ready AI features with real users· Showcase credible real-world AI experience on resumes, portfolio, or in interviews The Solution: Ship and Launch Real AI Products About the AI Product Management &amp; Startup Builder BootcampThis isn’t just another course — it’s a hands-on, team-based experience 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 real product development from idea to launch· Validate user pain points, data availability, and model feasibility· Design, prototype, and iterate with technical experts· Build a full MVP — not a mockup — and ship it with real users· Launch your product publicly across our 100,000+ tech community From day one, your product gets real visibility and user feedback — not just classroom critique. And beyond launch:· You'll create a portfolio that hiring managers actually care about· Get 1:1 resume help and expert review of your AI product story· Receive ongoing job referrals through our 1,500+ alumni network· Qualify for seed funding from Product Manager Accelerator if your team is a top performer· Apply to Y Combinator or other incubators with a real team and working product This Isn’t Just Another AI PM Course. It’s a Proven Launchpad. We’ve been running this bootcamp long before we joined Maven. In fact,&nbsp;Product Manager Accelerator&nbsp;(our parent company) has already graduated&nbsp;4 successful cohorts, launching&nbsp;30 real-world AI products&nbsp;last year. Two Phases. One Real AI Product.This Applied AI PM &amp; Startup Builder Bootcamp is structured in two powerful phases — designed to take you from AI beginner to AI product leader, with a real team and a real launch. Phase 1: Design Your AI MVP (Weeks 1–4)· Work with Product Managers and AI designers· Learn AI product strategy and lifecycle best practices· Build a validated AI MVP· Earn your AI Product Manager Certification· Pitch internal AI initiatives or get promoted Phase 2: Launch Production Ready AI Product (Weeks 5–11)· Work with AI engineers and data scientists· Turn your MVP into a real, launched AI product· Gain users, traction, and unlimited job referral support through our 1500+ alumni network· Eligible for seed funding and Y Combinator prep You can join Phase 1 as a standalone, or upgrade anytime to complete the full 11-week journey. Learn the full details of Phase 2, visit here ==&gt; https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end What Makes Us DifferentMost courses teach theory. We help you launch.· Build a real AI product with engineers, data scientists, and designers — not just a solo prototype· Launch with real users through our 100,000+ tech community — starting day one· Get job-ready with a portfolio, resume support, and referrals from our 1,500+ alumni· Access funding — top teams receive seed investment and YC application support No fluff. No guesswork. Just real-world experience that gets you hired — or funded. Cap into the 1500+ Product Manager Accelerator alumni network to accelerate your career.Ours students works at&nbsp;Meta | Google | Microsoft | Apple | Amazon | LinkedIn | Oracle&nbsp;| Intuit | eBay | TikTok | Nvidia | Uber | Tesla | PayPal | JP Morgan Chase | CapitalOne | Visa | Walmart 🧐Have additional questions: book a call and get your questions addressed live.https://calendly.com/pmaccelerator/pm-accelerator-ai-maven

Don't Just Learn AI, Launch it!

If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

Tuesdays & Thursdays

Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

May 7, 2022

Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Weekly projects

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

Product Managers with a career gap who want to gain valuable skills and fill in the gaps on their resumes.

Who is this course for

Hands-on AI product experience is the difference between getting ignored, getting hired, or getting funded.

✅ Apply the Gucci Framework✅ Build a Strategic AI Roadmap👩‍💻 Self-paced learning: Dr. Nancy Li recommends top AI courses (ML, DL, GenAI, LLMs, RAG)📚 Case Study: Analyze Google’s 10-year AI strategy🤝 Group Project: Brainstorm &amp; pitch AI product ideas

Week 1: AI Product Strategy (GUCCI Framework) and AI Basics

✅ AI Product Lifecycle✅ Hypothesis Validation &amp; Scalability✅ MVP, Launch &amp; Success Metrics✅ Model Building &amp; Training🔍 Case Study: Applying AI to Apple Watch – full lifecycle breakdown🤝 Group Project Kickoff: PMs pitch ideas &amp; form teams with AI designers

Week 2: End-to-End Al Product Management Lifecycle

✅Overview of Al models✅Trade-offs and decision-making✅Pricing strategies🏗️Case Study: Comparative analysis of Al models for different applications⚓Group Project: Conduct voice-of-customer interviews and validate AI hypotheses

Week 3: Existing LLM and Al Models, Trade-offs, and Pricing

⛳Description: Students have a deep dive on advanced AI topics&nbsp;💻Key AI Knowledge: Agentic AI, MLOpps, Langchain, Data pipeline, Data drifting, Concept drifting...🤼‍♀️AI Developer Team Match: Pitch ideas and team match with developers and a demo of product mockup and roadmap

Week 4: Advanced AI

In <a href="https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end" rel="noopener noreferrer" target="_blank">Phase 2</a>, you'll build and launch your AI product with a team of devs and data scientists. Top teams get funding, promo support, and intros to incubators like YC. Start with Phase 1 or upgrade anytime to the <a href="https://maven.com/product-manager-accelerator/applied-ai-product-management-development-with-real-teams-end-to-end" rel="noopener noreferrer" target="_blank">full 11-week journey!</a>

Week 5-11: AI PM BOOTCAMP - PHASE 2 | Build and launch your real AI product with a team of AI engineers, data scientists, and designers

I’m on a mission to help launch 1,000+ AI products and empower professionals like you to become the next generation of AI product leaders — impacting millions of lives through real-world innovation. Let’s build your product — and your future.﻿— Dr. Nancy Li

Our Mission

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

Dr. Nancy Li

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

Common Challenges Faced by PMs in AI Projects 1- Justifying AI decisions and demonstrating ROI to stakeholders. 2- Navigating the hype versus the real capabilities of AI. 3- Communicating across teams without deep technical knowledge. 4- Dealing with inconsistent, missing, or messy data. 5- Aligning priorities and expectations between product and engineering. 6- Addressing ethical risks and bias in AI systems. 7- Keeping up with rapidly evolving tools, frameworks, and best practices. If these are your challenges lately then this course is for you. It’s a hands-on, live, interactive course designed for Engineers and technical Product Managers. Perfect for those with a strong familiarity with technical development and who enjoy building prototypes. What You'll Learn 1- Translate AI concepts into clear business value propositions. 2- Ground product roadmaps in realistic technical constraints and opportunities. 3- Communicate effectively with engineering teams—no deep ML expertise required. 4- Apply practical frameworks to align product vision with technical execution. 5- Navigate messy or incomplete data to build functional, user-centric solutions. 6- Identify and address ethical and bias-related risks early in development. 7- Select scalable AI tools that support long-term product growth. 8- Craft metrics and narratives that demonstrate AI impact to stakeholders. 9- Build prototypes with no-code tools like Lovable to quickly test and validate ideas. Course Format - Duration: 4-5 weeks- Live, instructor-led sessions with interactive discussions- Real-world case study following an AI product from discovery to deployment- Hands-on activities to apply frameworks and concepts- Access to a community of peers for collaboration and support Why This Course is Unique For the first time ever, a Product Manager and an Engineer are joining forces to teach AI product management. This unique collaboration combines product strategy with technical know-how, giving you the tools to not only understand AI’s potential but also execute successful AI projects from start to finish. Through this course, you’ll have access to a dedicated channel where you can ask questions, share challenges, and connect with peers and instructors. After each live session, you’ll receive a recording to review at your own pace, ensuring you never miss important details. You’ll walk away with a deep understanding of how to scope, prioritize, and launch AI products that drive tangible results and create value across teams. Who this course is not for: If you are someone who is expecting to do plenty of hands-on coding.

Leading Cross-Functional AI Product Development

July 19 - Aug 10, 2025

Product Managers new to AI or looking to deepen their AI skills to lead AI Products and collaborate effectively with AI tech teams

AI Engineers, Software Engineers and Engineering Leaders looking to collaborate effectively with Product leads to drive successful outcomes

Program, Project, Strategy, Marketing, UX Design/Research and Business Leaders seeking an understanding of how to bring AI Products to mark

How to set learning intentions and align on goals so you can collaborate meaningfully in the cohort. You'll leave with clarity on the case study and your learning journey.

Introductions & Case Study Kickoff

You’ll develop the skills to translate complex AI outcomes into clear business value, ensuring stakeholder alignment and securing the support you need to move projects forward.

Communicate AI product value to leadership and cross-functional teams

How to frame and prioritize AI use cases so you can discover viable, high-impact product ideas. You'll leave with a prioritized list and prototyping prompts.

Master iterating on AI products: gather feedback, improve, and scale

Learn AI with clear, jargon-free explanations from Deepa, an ML Engineer with over 8 years of experience. You’ll master foundational concepts so you can make informed decisions and speak the language of your tech team.

Learn core ML/AI Foundational concepts and know when to apply them in real product scenarios.

Learn to identify use cases where AI can drive real value and spot scenarios where it’s overkill. Armed with this clarity, you’ll make smarter decisions, avoid costly missteps, and build products that solve problems without creating new ones, like bias or user distrust.

Understand where AI can be leveraged effectively and where it won’t help

Foster true collaboration with your technical teams, ensuring your product vision aligns with their realities. You’ll gain frameworks to bridge the gap between product goals and technical constraints, enabling you to ship AI products faster and more effectively.

Collaborate seamlessly with data scientists and engineers to build winning AI products

Tackle the ethical minefield of AI with confidence by learning to identify and address issues like bias, fairness, and privacy concerns before they derail your product; keeping your users safe and your company out of hot water.

Navigate ethical and regulatory challenges in AI

Learn to evaluate the right technologies for every stage of product development. Whether it’s choosing the best LLM for a chatbot or a vectorization tool for search functionality, you’ll build a toolkit that saves time, cuts costs, and delivers results tailored to your goals.

Leverage the best AI tools to enhance productivity as part of daily workflows

You’ll learn to account for AI’s unique challenges, like data prep, model training, and iteration cycles, so you can deliver on time without compromising quality or over-promising.

Design realistic and relevant AI timelines to meet business objectives

Among the sea of Gen AI Tools, use the right ones that can drastically improve your productivity as a product manager

Leverage Gen AI Tools to increase productivity

Build AI Products at Startups , Enterprises or on the side! https://testimonial.to/building-ai-products-bridging-product-tech-gaps/all

Deepa Krishnamurthy

Avinash Mahalingam

There are lots of great courses that teach you the process of AI product management. They show you how to write a PRD, conduct prompt engineering, manage a backlog, and ship a feature. This is not one of those courses. This is a rigorous, strategy-first course for the builders, the founders, and the senior intrapreneurs tasked with a much harder challenge: creating a defensible, scalable, and profitable AI-native business. I’ve been on all sides of this challenge. I led product for Google’s flagship Gemini initiative at DeepMind, operating at the frontier of generative AI. Previously at Amazon, I managed PM team building Alexa experiences. I’ve also been in the entrepreneurial trenches, co-founding and scaling two AI startups to over $80M in annual revenue. Now as an ICF-certified executive and entrepreneur coach, I help builders and leaders navigate the exciting era of AI revolution. I have seen and experienced the difference between building a cool AI feature and building a resilient AI business. This course is the distillation of those hard-won lessons. 🔈𝗔𝗡𝗡𝗢𝗨𝗡𝗖𝗘𝗠𝗘𝗡𝗧: 𝗧𝗵𝗲 𝗜𝗻𝗮𝘂𝗴𝘂𝗿𝗮𝗹 '𝗙𝗼𝘂𝗻𝗱𝗶𝗻𝗴 𝗠𝗲𝗺𝗯𝗲𝗿𝘀' 𝗖𝗼𝗵𝗼𝗿𝘁 𝗶𝘀 𝗡𝗼𝘄 𝗢𝗽𝗲𝗻.This is your only opportunity to join the first-ever cohort of the course at a special founding member price. Spots are limited to ensure a high-touch, interactive experience. 𝗪𝗵𝗮𝘁’𝘀 𝗜𝗻𝗰𝗹𝘂𝗱𝗲𝗱 (𝗧𝗼𝘁𝗮𝗹 𝗩𝗮𝗹𝘂𝗲: $𝟳,𝟱𝟬𝟬+): ✅ Full Interactive Cohort Experience: 6 modules of learning with 4 live, one-hour sessions with Roger Jin.✅ Capstone Venture Proposal Project: Develop a real, strategic, board-ready pitch deck for your AI startup or internal initiative.✅ Actionable Frameworks &amp; Blueprints: Get exclusive access to the proprietary, strategic, downloadable templates Roger has used to build and scale AI products and in coaching product leaders.✅ Lifetime Access to a Private Community: Join a curated network of fellow AI founders and senior intrapreneurs. 💡 Executive Cohort Option with 1:1 Mentorship ($2,000 value): Upgrade to the Executive Cohort for two private 1:1 venture strategy coaching sessions with Roger and personalized feedback on your capstone project. Our mission is to make this the 𝘰𝘯𝘭𝘺 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘪𝘤 𝘈𝘐 𝘤𝘰𝘶𝘳𝘴𝘦 you'll ever need to jumpstart your AI initiative or startup. To ensure this, we focus exclusively on the product and leadership challenges of building AI-native business. 𝗡𝗼𝗻-𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗮𝗿𝗲 𝗳𝘂𝗹𝗹𝘆 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝗲𝗱 𝗮𝗻𝗱 𝗲𝗻𝗰𝗼𝘂𝗿𝗮𝗴𝗲𝗱 𝘁𝗼 𝗱𝗶𝘃𝗲 𝗶𝗻—𝗻𝗼 𝗰𝗼𝗱𝗶𝗻𝗴 𝗼𝗿 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗯𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱 𝗶𝘀 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗱.

An actionable blueprint for the builders, entrepreneurs, and intrapreneurs

- Aspiring PMs looking for a "101" course on the AI PM role.

This course is NOT for:

- Engineers wanting to learn the tactical process of shipping their first AI feature.

- Anyone looking for a low-effort, theoretical overview of AI.

Learn directly from your instructor with interactive discussions. Don't worry about missing classes, recordings for all modules will be made available for you to watch in your Maven account.

4 One-Hour Live Sessions across 2 Weeks

A hands-on capstone that simulates building a real AI business. Tackle ideation to validation, design and proposal with weekly feedback from instructor and peers. Finish with an AI Venture Proposal project that are investor/board-room ready.

Capstone Project

Early-Stage AI Founders:You have a powerful AI concept or prototype, but are facing the existential questions of survival and growth.

Senior PMs, Eng Leaders &amp; Intrapreneurs:You've been given a strategic mandate to lead an AI initiative or integrate AI into core business

Aspiring Entrepreneurs: You have a solid business idea and need a playbook to validate the AI business, build a durable, defensible MVP.

This course is designed for

Your takeaways from this cohort

Master the 5-Step AI Opportunity Canvas framework for identifying and validating high-value, defensible AI business opportunities, not just incremental features.

Assess and Validate Your AI Product Idea

Design the three pillars of AI defensibility: proprietary data loops, modular technical architecture, and unique human-in-the-loop workflows.

Build Your MVP with Defensible Moats

Drive effective product development and competitive edge with 6-phase evaluation-centered data flywheel

Lead Your Product with Evaluation Framework

Design effective pilot programs that rigorously test hypotheses and create a strategic roadmap to scale from a high-risk experiment to a production-ready business line.

Develop Your Go-to-Market Playbook

Build a robust financial model for your AI venture, proves a clear path to revenue and profitability to investors and executives, clearly understand your fundraising options and strategies.

Master the New Economics of AI

Develop a comprehensive, board-level, VC-ready Pitch Deck for a new AI business or internal product line.

Capstone Project: Your AI Venture/Initiative Pitch

Validate your AI product idea, build your MVP with defensible AI moats, nail GTM & economics, and leave with a VC/Executive-ready pitch deck

Lightning Lessons

How to Validate AI Product Ideas and Build a Defensible MVP