Prachie Banthia

Validate & Size AI Product Bets

Google

Y Combinator

AssemblyAI

Gopuff

Sequoia Capital

YC Founder and former Product Exec at AssemblyAI, Gopuff

Learn the framework top product teams use to make decisions when market and technical risk are high.

A practical framework to compare AI product bets

Don't ask for "feedback." Learn the 3 specific questions that move customers from "that's cool" to "I'll use that"

Three questions that turn customer calls to real validation

Turn data into ROI & sizing that helps you compare bets and justify tradeoffs without false precision

A lightweight way to size upside without fake precision

#1 Rated AI Certificate. Acquire the skills needed to confidently build AI products, positioning yourself for success in the AI world

Cohort 7

Product Leader at OpenAI

Miqdad Jaffer

Product Leader at OpenAI | Operator, not influencer | 18 years building products

Cohort 6

Cohort 8

🚨 The December cohorts is SOLD OUT.Use code AIBUILDLABS to unlock the complete package:<ol><li>Our new AI Build Labs program (A $2500 value): Master the practitioner's toolkit (n8n, Base44, Lovable) to build and test your ideas independently.</li><li>A special $500 discount on your enrollment.</li></ol>Offer &amp; $500 discount expires Sunday, Dec 28th.Team Enrollment (10+): Secure a Private Cohort Portal to work on internal IP safely. Includes Unlimited 1:1 Implementation Support to unblock projects and up to 40% off. Contact support@productfaculty.comWhy it matters: AI PM is the new PM. In 2026, every product decision will be an AI decision. Master the skills to lead in the AI-driven future.💡 ABOUT THE COURSE This course is about doing. It’s exercise-centric training that goes beyond "AI speak" to build your credibility.Through live sessions, you will master the 4D Method (Discovery, Design, Develop, Deploy)—a comprehensive playbook covering everything from validation to launch strategies.Learn from AI features at Shopify, Google, &amp; Amazon. Apply insights in a Capstone Project where you build your own AI-powered feature.

Acquire the skills & confidently build AI products and future proof your career

Identify high-leverage AI opportunities using the 4D Method

Design trustworthy AI experiences that drive adoption

Systematically optimize outputs for accuracy & relevance

Build rigorous evaluation suites, don't rely on "vibes"

Architect Agentic AI systems that work

Select the perfect LLM for cost, latency, and quality

For PMs &amp; Leaders: The #1 rated certificate to master the age of AI. Learn the A-to-Z playbook to ship successful AI products.

For Engineers &amp; Tech Leads: Don't just build. Lead. Get the product strategy to make better tech decisions &amp; fast-track your career.

For Founders, Designers &amp; UX: The playbook to build a winning AI venture or design human-first AI experiences users will love.

In the last 12 months, AI has shifted from a "tech trend" to a market-decimating force. The old playbook of simply "shipping features" is dead; leaders must now build "Contextual Moats" and defensible strategies. This course bridges the gap between Executive Leadership and AI Strategy. We take the rigor of the #1 Ranked Advanced Product Management curriculum and infuse it with the frameworks needed to win in the age of AI. What You'll Get Out of This Course Master the AI Leader's Mindset: Understand the non-obvious factors that lead to AI product success and how to "think strategically" when every competitor has access to the same APIs. Build Defensible Moats: Stop relying on fragile tech advantages. Learn to recognize when your data is a moat and when it isn't, and how to build specific "Contextual Moats". Execute with the 4D AI Method: Implement a system to take AI features from Discovery to Design, Develop, and Deploy, ensuring you aren't just shipping demos, but solving real problems. Strategic Alignment &amp; Communication: Learn how to communicate complex AI product proposals to stakeholders with clarity, ensuring buy-in and excitement. ﻿AI Economics &amp; Metrics: Learn to forecast costs that scale linearly with usage and master the "Cost vs. Quality" trade-off to ensure your AI initiatives are profitable.

Lead the AI Transformation. Don't just witness it

Course syllabus

You'll have 5 hours of class split into two 2.5-hour modules. Each module consists of 60% lecture-style learning and 40% hands-on group exercises. Don't worry about missing a class—you can make up missed classes in a future cohort, and you'll receive the recordings right away.

Saturdays

The capstone project allows you to go through the end-to-end lifecycle of developing a major feature for a consumer company like Facebook, Google Maps, or Amazon, and present it in a product review meeting to the VP of Product at Shopify.

Weekly Capstone Projects (Optional)

We will spend about 20 hours on the core course material plus about 6 hours on Q&amp;A. Timings for each session have been chosen based on what works best for most product people in practice. Recordings for all modules will be made available for you to watch in your Maven account.

Optimized for very busy schedules of PMs / Execs / Managers.

Course schedule

Ambitious Senior PMs, GPMs, &amp; VP Level Leaders: Leaders who are responsible for product success and need to crystallize their skills to lead

Founders &amp; Executives: Those who realize that "be first to market" is no longer enough and need a strategy that provides a durable advantage

Note: This course is not for early-career PMs or those looking for a basic introduction to prompt engineering. This is a strategy and leader

Who is this course for

What you’ll get out of this course

Understand the non-obvious factors that lead to AI product success and how to think strategically when every competitor has access to the same APIs.

Master the AI Leader's Mindset
 

Learn to recognize when your data is a true moat versus when it isn't, and develop specific strategies to build durable competitive advantages that go beyond fragile tech differentiation.

Build Defensible "Contextual Moats"

Implement a proven system to take AI features from Discovery to Design, Develop, and Deploy—ensuring you ship real solutions, not just demos.

Execute with the 4D AI Method

Master the art of forecasting inference costs that scale linearly with usage and optimize the "Cost vs. Quality" trade-off to ensure profitability, not just hype.

Navigate AI Economics & Unit Economics

Build high-conviction roadmaps for high-risk, high-reward AI bets that account for uncertainty and rapid technological change.

Develop Strategic AI Roadmaps

Communicate complex AI product proposals with clarity and precision to secure executive support and cross-functional excitement.

Drive Strategic Alignment & Stakeholder Buy-In

Structure your AI initiatives for scale from day one by defining metrics that matter in a probabilistic world and avoiding the trap of endless experimentation.

Escape "Pilot Purgatory"

Align engineering, design, and data science teams on a unified vision and learn to lead effectively in an AI-first organization.

Lead Cross-Functional AI Teams

Gain insights from guest speakers including Joff Redfern (Ex-CPO Atlassian), Amit Fulay (Generative AI Leader), and Surojit Chatterjee (Ex-CPO Coinbase).

Learn from Elite Product Leaders

Complete a hands-on capstone where you develop and present the end-to-end lifecycle of a major AI feature for a consumer company, applying everything you've learned in a product review format.

Ship a Real AI Product Strategy

The #1 Ranked Advanced PM Training, Evolved for the AI Era.
A 5-week program for PM leaders to level up Product Strategy and AI leadership.

Jennifer Liu

Product Executive (SVP, CPO, Sr. Director Google)

Joff Redfern

Frm. CPO at Atlassian and VP of Product  Linkedin

Cohort 4

Cohort 5

Acquire and develop a critical skill for product managers who are leading and contributing to AI products.

GenAI Product Builder @ Google, ex-Meta

Marily Nika, Ph.D AI/ML

Senior Data, ML and GenAI Scientist

SHI International

National Association of REALTORS

George Zoto

Senior NLP/AI Scientist

Product Manager AI&ML @ Google

Diego Granados

Sr. ML Product Manager,  ex-Meta

Stanford University

Mark Cramer

Sr. ML Product Manager @ Meta

December 2025

Feb 2026

“Does it work?”... “Is it good enough?”... “Can we ship it?”...How do you answer these questions for AI products? You’re responsible for “running evals” but what does that mean?How do you choose the right metrics, interpret fuzzy results, and make a confident decision?This course gives you a framework to do just that.<ul><li>Map user value to evaluation (eval) objectives so your metrics aren’t abstract. Define success then translate it into measurable criteria.</li><li>Choose metrics you can actually maintain: capability, safety, UX friction, latency, cost and “does this reduce support tickets or increase activation.”</li><li>Set ship/no-ship thresholds you can defend to leadership.</li><li>Build lightweight workflows that work in real teams: human review where it matters, automation where it lasts, documentation that drives decisions.</li><li>Consider domain constraints (e.g., healthcare safety) and know what to avoid: silent failures, misleading proxy metrics and tests that don’t reflect production.</li><li>Tie everything to ROI: impact vs unit cost, eval coverage vs reliability, and the minimum viable monitoring you need post-launch.</li></ul>Experience AI evals through a case-based approach with a real AI product that we evaluate together.

Eliminate uncertainty in shipping AI features

Make confident ship or hold decisions for AI features

Translate user value into clear evaluation goals

Choose the right metrics for capability, safety, UX, and cost

Set defensible thresholds leadership will trust

Build lightweight evaluation workflows teams can maintain

Navigate domain constraints and avoid common failures

PMs leading AI features, growth, or platform initiatives

PMs who partner with ML teams and want to set evaluation standards

PMs who need to make clear “ship or hold” calls without doing the engineering

The ProblemAfter speaking with product leaders at Google, Meta, Microsoft, Nvidia, and Amazon, one message is clear:"The future belongs to product managers who don’t just study AI, but practice it in real-world launches." 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· Build credibility as someone who can deliver in the AI era 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:· Build a portfolio that proves your hands-on AI product skills· Strengthen your leadership and cross-functional collaboration abilities· Gain confidence in shaping AI strategy and execution· Join a network of 1,500+ PMs learning and building together· Position yourself as an AI-savvy product leader ready for the future 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;5 successful cohorts, launching&nbsp;40+ 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 support through our 1500+ alumni network· Eligible for advanced alumni opportunities and funding support 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· Build tangible skills that leaders value: strategy, execution, and leadership No fluff. No guesswork. Just hands-on experience that builds lasting skills for your career. 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://www.pmaccelerator.io/AI_PM_Course_Application

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 ready to upskill in AI and lead with confidence.

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.

Hands-on AI product experience is what sets future-ready PMs apart from the rest.

✅ 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

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