Angshuman Rudra

AI Systems Thinking for Product Managers

Head of AI | Director of Product

Trace any underperforming AI feature to its root cause - data, model, orchestration, eval, or experience.

Diagnose AI product failures by layer

From build vs. platform to autonomy level, learn the architectural decisions every AI PM must make

Reason about the 6 decisions that shape every AI product

Understand why your data layer - not your model - is your real competitive advantage.

Apply the context moat question to your roadmap

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

GenAI Product Builder @Google, ex-Meta

Dr. Marily Nika

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

February 2026

March 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.

Walk away with the core skills, tools, and support you need to operate like a modern PM

18+ YoE | 8+ Yrs Teaching | 5K Students 

Linktree

Kajabi

Expedia Group

Harvard University

Melbourne Business School

David Wang (Product Dave)

Global Product Leader with 18+ Years of Experience from Hyper-Growth Companies

This cohort is designed for students who are based in Australia and the US West Coast timezones

Cohort 12PM AEST / 7PM PST 

Cohort 23rd March 2026

AI has made building and execution dramatically easier. In 2024, the ratio of PMs to Engineers was 5 to 1 PM; in 2026, it'll be 1 Engineer to 2 PM.As AI professor <a target="_blank" rel="noopener noreferrer nofollow" href="https://en.wikipedia.org/wiki/Andrew_Ng">Andrew Ng</a> has pointed out, the biggest bottleneck in modern engineering teams is no longer coding — it’s product decision-making. <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/posts/andrewyng_grok-raises-questions-meta-poaches-talent-activity-7351623555542896640-cTJT/">(</a><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.youtube.com/watch?v=RNJCfif1dPY&amp;t=1105s">see the talk here</a><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/posts/andrewyng_grok-raises-questions-meta-poaches-talent-activity-7351623555542896640-cTJT/">)</a>Product decision making is deciding what to build, why it matters, and achieving business outcomes.This course gives you the foundation in a simple, no-fluff format with AI. You’ll learn how to prompt the AI to break down ideas, tie them to business metrics, AI for user research, define personas and JTBD, structure PRDs, and influence without direct authority.What You Get:<ul><li>A real product project you build and launch with AI</li><li>Weekly live workshops with hands-on practice so you build real skills fast.</li><li>1:1 coaching and feedback on your prompts, documents, and project.</li><li>A complete Miro board of PM tools — personas, segmentation, feature maps, prioritisation, roadmapping.</li><li>Practical AI prompt library used by PMs day to day to speed up every step of product work.</li><li>Career Happiness Refund: If you're not happy about the course, you'll get 100% refund anytime. (Btw, no one has done this yet)</li></ul>

Decide What To Build, Get Customers, and Drive Outcomes with AI PM Skills

Master the foundations of Product Thinking

Ground Product Decisions in Business and Customer Needs

Implement Data-Driven Prioritization and Planning

Translate Ideas into Clear, Actionable Product Requirements

Develop and Communicate a Complete Product Strategy

Product thinking needs real workplace judgement. This course promotes learning from each other's real-life experiences. 

Must be a Mid-Career Professional | 4+ Years of WORKING experience

We use real examples from tech companies and tech products; otherwise, you'll get lost in the concepts.

Must work in tech or tech-related products

Unofficial PMs - Engineers, Designers, Program Managers, BAs, and SalesFolks who touches product work and wants to define WHAT to build

New or Aspiring PMsPeople moving into PM who want practical product thinking, AI workflows, and a real project to show their ability.

PMs who needs to stay relevant in the AI eraCurrent PMs who want to remove low-level work and use AI to operate with more impact.

Learn how to use AI to accelerate customer discovery, validate solutions, and make better product decisions, without leaving your desk

Cohort 2

Product Innovation & AI Trainer

Capital One

Cisco

Wesco

Google

Valerio Zanini

Product Management and Innovation trainer. Author, "AI for Product Managers".

Cohort 1

Cohort 3

Using AI in product management is not just about getting better at ChatGPT. It's about leveraging AI across the product development life cycle (PDLC) to accelerate, expand, and simplify what's possible.Unfortunately, most AI courses for PMs focus on how to build AI-powered features. But PMs can benefit from AI practices regardless of the type of product they are building. This is the focus of this course: helping PMs expand the daily practice of product management and giving PMs super powers.Over two weeks, you’ll learn—by doing—how to use AI to accelerate discovery, synthesize insights, explore solutions, and support decisions, while understanding where AI helps and where it can mislead. This is a hands-on, instructor-led cohort for PMs who make real product decisions.Duration: 2 weeks (short, intensive, focused) + Graduation Demo dayFormat: Instructor-led cohort with 2 sessions per week (see schedule below)Between sessions: Hands-on individual assignments (to build the practical muscles)

Get AI super powers to grow in your PM job

Accelerate your Product Management job

Use AI to accelerate customer discovery

Build repeatable AI-augmented workflows you can reuse in real product work

Understand when AI can accelerate insights

Expand solution space and prototype quickly with AI

Product Managers, Product Owners, Product Leaders, and entire product teams. Startup founders and product designers.

PMs who want to move beyond “AI curiosity” to real, practical use of AI in product discovery and development, with hands-on practice.

This course is not a beginner tutorial on ChatGPT. It's a deep-dive on how to use AI tools in product work.

How to think through AI problems end-to-end: scoping, debugging, and knowing when to pivot.

Pilot Cohort

ML Engineer with 10+ years of experience

Hugging Face

DataRobot

Contextual AI

Snowflake

Snorkel AI

Rajiv Shah

Enterprise AI veteran: Shipping AI to production, with clarity and humor

Summer 2026

AI Problem Framing is to AI teams what System Design is to software engineers and Product Sense is to PMs. Whether you're building, evaluating, or leading AI work, this is the foundational thinking skill that separates results from rework.--🚨 Summer cohort: June 2 – June 26 🚨Winter Cohort is running in Feb/March---What you get:🔄 The Loop, a 5-step framework you'll use to think through every AI project🧑‍🏫 Live sessions and office hours where you can bring your real problems📊 Access to 200+ case studies, the largest collection of AI reframing examples📋 Production-ready checklists for RAG, Forecasting, GenAI🎥 Lifetime access to all recordings---This course is for you if:• Your AI works in demos but fails in production• You've spent months on a model only to realize you solved the wrong problem• You lead AI work but came from engineering, product, or PMYou'll learn from 200+ AI failures in 4 weeks. You gain years of experience and recognize the scars.

Most AI fails from bad framing, not bad models. Learn to fix that.

Frame AI problems right the first time

Diagnose what's actually broken

Own the problem, not just the solution

Steer your team past expensive mistakes

We focus on framing and strategy, not explaining what models or training means. Basic vocabulary lets us go deeper faster.

You understand what AI/ML is at a conceptual level

Real experience gives you context. The frameworks click when you can map them to projects you've actually built or managed.

You've worked on or led AI projects in some capacity

This is about decision-making, not implementation. You'll learn what to build and why, not how to code it.

No coding during the course; frameworks for thinking, not tutorials

Engineers who can build AI but want to master outcome engineering: knowing what to build, not just how

Building RAG, agents, or ML models? Let's get your demos into production! Learn the thinking that makes the difference.

Managers who need to evaluate AI/ML proposals, set realistic milestones, and know when to escalate