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Learn to think, decide, and communicate like an AI PM — turning interviews into proof of real product judgment.

March 2026

GenAI Product Builder @Google, ex-Meta

Dr. Marily Nika

AI Product Lead @ Google, ex-Meta, Harvard Business School Fellow

February 2026

April 2026

AI PM interviews have quietly changed — and many strong PMs are failing them for reasons that have nothing to do with intelligence or experience.Candidates are no longer evaluated on clean frameworks alone. Interviewers are looking for AI product judgment: how you reason under uncertainty, make tradeoffs, think about failure modes, evaluation, and explain why a decision makes sense in an AI context. Most PMs were never trained to articulate this — even if they already work with AI.This course exists to close that gap.You’ll practice real AI product sense, metrics and execution scenarios and get 1-1 coaching from experienced Silicon Valley AI product leaders — it’s about developing judgment and being able to prove it.If you’ve ever left an interview feeling like “they didn’t quite see how I think,” this lab is designed for you. By the end, you’ll have sharper AI product intuition, a concrete product story you can reference, and the confidence to defend your decisions in high-stakes AI PM interviews.

Build real AI product sense & judgment — and prove it in AI PM interviews

Develop real AI product judgment

Master AI product sense interviews

Get personalized, 1-1 expert coaching [included]

Lead AI execution & metrics conversations

PMs transitioning into AI roles who want to think and interview like AI-native product leaders.

Senior PMs who work with AI and want to prove their judgment in high-stakes interviews.

Product managers tired of generic AI prep who want interview-ready AI product sense.

Learn practical, hands-on methods to evaluate, measure, and improve AI products using data science to make better product decisions.

Principal Data Scientist, AI Evaluations

Stripe

Nextdoor

PwC India

Ontra

AppFolio

Shane Butler

Principal Data Scientist, AI Evaluations at Ontra

Cohort 1

With the recent leaps in model capabilities, it is becoming clear that much of the AI evaluation work previously requiring humans to build and run can be automated through agentic systems. This course teaches you how to build those systems, and where human judgment and input is still required.The foundational work of designing eval frameworks, defining quality signals, and structuring failure analysis remains critical. But the execution of that work, running evaluations, scoring results, iterating on improvements, and surfacing what matters, can now be handled by agentic workflows that operate continuously and at scale.This course equips you with the capability to build, test, and deploy automated evaluation systems using Claude Code. You will leave with working systems, not just conceptual understanding.The focus is on automation that is trustworthy. Systems that score their own output, flag uncertainty, and know when to surface decisions to a human rather than proceeding autonomously.The foundational content on AI evals for product development is available free at <a target="_blank" rel="noopener noreferrer nofollow" href="https://aianalystlab.ai">aianalystlab.ai</a>. If you are new to AI evals, start there.

Build the agentic systems that automate your AI evaluation workflow from end to 

Build agentic evaluation workflows in Claude Code

Automate scoring and quality assessment

Implement iterative improvement loops

Scale experiment execution

Integrate with production data and decision-making

You will get the most out of it if you are actively working on, or about to ship, AI features in a real product.

Real-World AI Product Experience

Product Managers: Want automated eval systems for your team? Learn what is possible, reliable, and where human oversight stays essential.<pre><code class="language-markdown"></code></pre>

Data Scientists &amp; Analysts: Spending more time running evals than learning? Build systems that handle execution so you focus on decisions.

Engineers and ML Engineers: val bottlenecks slowing your release cycle? Automate repetitive work and ship with speed and confidence.

Start using Claude Code for every part of your product development

Head of Product at Arize, Lenny's List

Arize AI

Spotify

Cruise

Apple

UC Berkeley

Aman Khan

Product leader featured on Lenny's List

Founder, AI PM, full stack builder

Fountain

Adobe

Eric Xiao

Founder, product leader, full stack builder

Cohort 2

Cohort 3

Our goal is to get you from novice to AI power user in two weeks. This course is a practical system for PMs who want to go from "I use ChatGPT to ask questions for work" to "I use coding agents to brainstorm, build, and test new product features." The course is built by real AI practitioners who use Claude Code every single day. Everything we teach comes from the frontlines of AI product building.This is best suited for PMs who need to quickly level up and upskill with AI. Companies are expecting PMs to ship faster and own broader scope while remaining hands on. You'll be actively building live during the lessons and master techniques that you can apply immediately at work.This is not just a coding course. It's a product management master class using AI across research, design, data, engineering, and marketing.We intentionally limit enrollment to ensure personalized attention during live building sessions. Get direct feedback on your specific AI product challenges, and gain meaningful connections with your fellow AI PMs.You can read reviews and testimonials from our previous course here for <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/aman-khan/thriving-as-an-ai-pm">AI PM Playbook </a>(4.8/5 59 reviews).

Become an AI-native PM and use coding agents for every part of your work

Build skills to automate your workflows

Brainstorm useful product features that you'll actually build

Build prototypes you can use to communicate ideas

Become an expert at Claude Code

Automate all of your day to day PM work

We'll help you get Cursor set up, but some familiarity with coding/debugging will go a long way here (i.e. being able to read python code)

Familiarity with code recommended (but not required)

Product Managers&nbsp;looking for best practices on how AI is transforming product development.

UX Designers who want to bring their ideas to life and build real applications.

Job seekers&nbsp;aiming to create portfolio projects and stand out in the job market.

AI is decimating old business models overnight. Go beyond demos and learn the frameworks to build a lasting competitive moat and win.

Director of Product, Google AI

Satyajeet Salgar

Director of Product, Google AI | Scaled multiple products to 1B+ user

Ex-Founder, Tech Staff @ Anthropic Labs

Henry Shi

 Ex-Founder ($200M) | Tech Staff to Anthropic Co-Founder

When everyone has the same APIs, strategy is your only true advantage.Models are becoming commodities and features are copied in days. The winners won't be those with the best engineering, but those with the best Strategic Contrast.Designed for Senior Leaders, VPs, and Founders, this executive workshop moves beyond "demos" to focus on the hard truths of AI economics.What we cover:<ul><li>The Moat Crisis: Why data isn't enough and how to build "Contextual Moats."</li><li>The P&amp;L Trap: Structuring unit economics for profitability, not just growth.</li><li>The "Full-Stack" Strategy: Aligning data, roadmap, and GTM.</li></ul>Outcome: Produce your AI Moat Blueprint™—a rigorous strategic document reviewed personal by our Product Team.⚡️ BEST VALUE: Executive Track We have combined Maven's #1 most popular AI courses into a single executive track. The rational high-leverage move: Secure 24-month all-access to the complete suite ($10,000 Value). Take and retake any cohort.<ul><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/product-faculty/ai-product-management-certification">AI Product Management ($2,500)</a></li><li>AI Product Strategy for Leaders ($2,500)</li><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/product-faculty/ai-product-leadership-training">AI Product Leadership ($5,000)</a></li></ul>👉 <a target="_blank" rel="noopener noreferrer nofollow" href="https://buy.stripe.com/4gMaEZbgVam48Q00pVdnW0a?prefilled_promo_code=EXECTRACK">Secure the Executive Track for $4,995</a>

When everyone has the same APIs, your strategy is your only true advantage.

Build a defensible AI Moat that isn't just a "better model"

Manage an AI P&L and avoid the "Pilot Purgatory" trap

Architect a "Full-Stack" AI Strategy beyond just features

Gain Board-level buy-in with rigorous strategic clarity

Master the new AI GTM Playbook for pricing and packaging

Navigate the 4 Layers of AI Disruption to spot opportunities

This course is for experienced leaders (PMs, Eng, Founders) accountable for product success. It is not a foundations course for beginners.

Advanced Program Prerequisites

Senior Product Leaders (VPs, Directors):Your roadmap is obsolete. Get the frameworks for building a defensible moat and managing an AI P&amp;L.

For Eng. &amp; Tech Leaders: Your tech advantage is temporary. This is the playbook for connecting engineering to a winning business strategy.

For Founders &amp; C-Suite: Strategy is your only durable advantage. This is the playbook on building a profitable company, not just a produc

Every session is intensely hands-on and practical

Arize AI, Spotify, Cruise, and Apple

AI Product leader at Arize AI, Spotify, Cruise, Zipline, and Apple

Riverside, Patreon, Wix, and Appsflyer

Patreon

Riverside.FM

AppsFlyer

DuckDuckGo

Tal Raviv

Early PM @ Patreon, Riverside, Wix, AppsFlyer

You're using ChatGPT daily, but still feel like an outsider when engineers discuss context management, RAG pipelines, and agent memory. The gap is widening daily, and then Meta announces a new PM interview: "Product Sense with AI."Half of product sense is knowing your users. The other half? Deep intuition for the enabling technologies: what's easy, what's hard, and why.Most courses teach AI through slides and flowcharts. We take the opposite approach: you'll build your personal OS using Cursor and Claude Code, the same "exposed wires" tools engineers use.Why? Because using AI coding agents daily is like iterating on a suite of AI products with a user of one. The bottlenecks become visceral, the solutions intuitive.In this radically hands-on workshop, you'll move from chat UIs to engineering tools, build a Personal OS for daily work, and realize you've built a portfolio using every AI engineering primitive.Result: X-ray vision for any AI product. When others see magic, you see architecture. You're known for saying "let me show you" and demoing live.When Anthropic or OpenAI announce something new, you already intuited it was coming because you faced that exact problem last week.

Build your personal OS in Cursor & Claude Code—to learn AI technical foundations

Move from ChatGPT to Cursor/Claude Code for all tasks

Build a portfolio of Al products you use daily

Build confidence and gain a competitive edge amongst your peers

Develop X-ray vision for AI products

Prototype AI solutions during meetings

Lead AI transformation

C-suite executives and venture investors who need practitioner intuition to evaluate business models confidently.

Product builders who want to improve their technical intuition by building their personal AI systems.

Big Tech candidates preparing for AI product sense interviews, by building a portfolio of working AI systems they use daily.

Learn how to build AI products that turn users into evangelists with proven delight frameworks.

Founder, Delight Path

Leadpages

Mixpanel

Zapier

Ramli John

Product Coach and Educator

Hult International Business School

Appcues

Openly

MachineMetrics

C. Todd Lombardo

Every company is racing to add AI features. The problem? Most AI products feel robotic and frustrating, no matter how technically impressive.You've seen it:<ul><li>Customers abandon your AI chat after one try</li><li>Users ignore your "smart recommendations"</li><li>Your personalization falls flat despite perfect technology</li></ul>The real issue: Speed and intelligence don't create loyalty. They don't create fans who tell their friends or the "core memories" that turn users into evangelists.This course solves the critical gap: How to build AI that users genuinely love, not just tolerate.You'll learn the proven frameworks from exclusive case studies from Adobe, Spotify, Mailchimp, Zappos, and others that have mastered:<ul><li>Why high-emotion companies outperform markets by 800%+</li><li>The three pillars of hyper-personalization (Contextual Intelligence, Emotional Resonance, Anticipatory Design)</li><li>The trust equation that separates helpful AI from creepy surveillance</li></ul>This course is based on the forthcoming O'Reilly book Delightful Intelligence (September 2026) by Ramli John and C. Todd Lombardo.

AI without empathy and delight is just expensive automation. Here' how to fix it

Build AI that users love using the 3-pillar delight framework.

Create a delight-first culture that drives measurable business results.

Product Managers building or enhancing AI features who want users to love their products, not just use them—and need proven frameworks now.

Product Leaders defining AI strategy who need to justify delight investments with data and build cultures that create emotional connections.

Product Designers creating AI experiences who want to design interactions that feel magical, not robotic

Apply Proprietary AI Product frameworks in AI Product lifecycle for structured thinking: concepts + cases + skill   building from CXO's lens

 3x Head of Product, 2x CEO, 1x GM

The Home Depot

U.S. Army

Cadence

Unilever

Stanford University

Rocky: $1.3B P&L at Home Depot

3x Head of Product |
2x CEO |
1x GM |
Led $1.3 Bn Product dept at Home Depot


May 2026

In AI era, you are a Product Manager/Leader concerned about (a) KEEPING your job, (b) ADAPTING to AI Product lifecycle, (c) PROVING your productivity, &amp; (d) EVOLVING your Product career.There are varied skills expected of PM's by CPO/CPTO, CEO, COO, CFO, &amp; CHRO. If there is a mismatch, then PM's get laid off or don't land a PM job even with several AI Product certificates &amp; tools.What if you had access to the skills, frameworks, &amp; structured thinking required to meet business goals by bringing customer delight &amp; competitive edge that keeps your Managers impressed in AI era?Master 4 proprietary AI Product frameworks™ that tie directly with what C suite expects from PM's, build an AI Product, &amp; create a personalized career path. This 16 hours LIVE course covers concepts + case studies + skill application:(1) AI Product skills that CEO's expect from PM's in AI era(2) AI Product Lifecycle that CPO/CPTO's expect PM's to follow in AI era(3) AI Product Mindset that COO's expect PM's to demonstrate for a long term career(4) AI Productivity that CFO's expect PM's to prove 10x productivity(5) AI Product building (show don't tell) that CHRO expects from PM's by solving a business problem

Meet AI Product goals using AI Product Frameworks™ in AI product lifecycle 

VISIONARY™ framework for Product skills  in AI era (from CEO's lens)

MAVERICK™ framework for Product lifecycle in AI era (from CPO/CPTO's lens)

TRANSFORM™ framework for Product mindset in AI era (from COO's lens)

POWERHOUSE™ framework for Product toolkit in AI era (from CFO's lens)

Live Capstone Project (From CHRO's lens)

We cover what a Product Manager with no technical degree can achieve in AI era with Product mindset. You need access to $20 paid Claude plan

Non technical background with openness to learning & access to paid Claude plan

You have practical experience with atleast 1 Product lifecycle in digital era & have tinkered with AI tools (eg, ChatGPT, Claude, Gemini)

You know the basics of product management lifecycle

You are interested in solving problems that directly align with business outcomes leveraging AI & not chase hype with flashy AI tools

Interested in solving business problems  via AI & not chasing hype with AI tools

(1) Early career Product Managers, (2) Mid career Product Leaders, (3) Product Executives, (4) You work with Product teams

You were a Product Manager (PM) in digital era (1997 - 2022) &amp; are trying to transform your PM career in AI era (2023 - )

You tinker with AI tools for PM's, face information overload, &amp; are seeking a structured approach to future proof your product career

This is a hands-on transformation blueprint. In just 4 weeks, you'll go from "hoping it works" to "knowing it will work"

Product Strategy

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