# AI Product Strategy Certification > The AI Product Strategy Certification is a self-paced course by Vin Vashishta, with 13 modules and more than 20 hours of instruction, that takes AI products from opportunity discovery through pricing and go-to-market. URL: https://www.datascience.vin/course-ai-product-strategy.html Format: Self-paced Price: $595 Enroll: https://learn.datascience.vin/purchase?product_id=6089918 Updated: January 2027 - **Format:** On-demand video + exercises - **Content:** 13 modules ยท 20+ hours - **Access:** 1 year, with office hours twice a week - Case studies from McDonald's, Ford, Nike, SAP, and more - Content updated with new case studies - Email support - Optional 1:1 sessions with Vin ## Why this course Models don't make money. Products do. This certification builds the Disruptor's Mindset for AI product work: start at opportunity discovery, connect business metrics to model metrics, and carry the product through pricing and go-to-market. ## The shift | Old pattern | Disruptor's Mindset | |---|---| | Start with the model | Start with the opportunity and the workflow it changes | | Ship the prototype and hope for adoption | Break initiatives down and deliver value incrementally | | Price AI like the software it replaced | Price against the value the product creates | | A feature list | A platform vision across product, operations, decision, and generative platforms | | Launch and see what happens | A path to breakeven, then profitability, then a bigger market | | Manage stakeholders by status update | Manage them with alignment, pushback strategies, and a board-level communication plan | **If you're technical: Learn product management for AI.** Discovery, maturity models, pricing, stakeholders, and go-to-market. No product management background required. **If you're already a PM: Learn how AI products actually work.** Data maturity, experiments, research lifecycles, and causal KPIs, so you can manage a technical AI product with confidence. ## Course outline From opportunity discovery and maturity models through pricing, go-to-market, and managing a technical AI product. Most students have three to five years on a data team or data and AI initiatives. ### Module 1: Introduction *6 lessons* - Course Support, Content Overview, Topics, & A Lesson On Pricing - My Background & The Course Design - Breaking Bad Habits - Why Is Now The Time For AI Strategy & Products - What Is An AI Product Manager? - Why Do Businesses Need AI Product Managers & New Approaches? ### Module 2: Data & AI Strategy Foundations *9 lessons* - Introduction To The Business, Operating, & Technology Models - Exploring The Technology Model - Continuous Transformation & Its Impact On Products - Steps That Launch & Derail AI Strategy - The Capabilities Maturity Framework & Progression - The Transition From Opacity To Transparency - The Product Maturity Model & Strategic Decisions - The Data Maturity Model - Opportunity Discovery Without The Frameworks ### Module 3: Opportunity Discovery *11 lessons* - The Big McDonald's Reveal - Ford & Being Distracted By Screens - Why Change & Adopt New Frameworks? - Why Did I Choose McDonald's & Ford? - Becoming Strategic Partners With CxOs - Top-Down Opportunity Discovery - Bottom-Up Opportunity Discovery - Breaking Initiatives Down - McDonald's Top-Down Opportunity Discovery Exercise - McDonald's Top-Down Opportunity Discovery Exercise Answer - Ford Top-Down Opportunity Discovery Exercise Answer ### Module 4: The Maturity Models *10 lessons* - Introduction To The Maturity Models & Why We Need Them - The First 5 Phases & A New Approach To Product Design - Advanced Maturity Phases & New Business Types - The Data & AI Product Maturity Model - The Product Lifecycle Maturity - Breaking Down Initiatives & Delivering Value Incrementally - AI Product Design & The Human Machine Maturity Model - The Data Generation Maturity Model - Opportunity Estimation - Opportunity Estimation Exercise: Copilot ### Module 5: Introduction To The 4 Main Platforms & AI Product Strategy *2 lessons* - Building A Single Vision For AI Products - The 4 Main Platforms ### Module 6: The Product Platform & Defining AI Products *10 lessons* - Introduction To The Product Platform: Estimating ROI For The iPhone Camera - iPhone Exercise Answer Walk Through - Introduction To The Product Platform: Mentorship Marketplace Exercise - The Mentorship Marketplace Exercise Answer - AI Product Examples: TikTok - AI Product Examples: Recruiter ATS - AI Product Examples: Netflix Recommender - AI Product Examples: Amazon Prime Pricing - AI Product Examples: Citi Credit Card Fraud Detection - Product Platform Monetization Review ### Module 7: AI Product Pricing Strategy *11 lessons* - Introduction To Pricing Strategy Basics - Introduction To AI Pricing Strategy - Do Subscriptions Still Make Sense? - GPT-4 vs GPT-3.5 Pricing Exercise - GPT-4 vs GPT-3.5 Pricing Answer And Copilot Pricing Exercise - Copilot Pricing Exercise Answer - Data Product Pricing Strategy - Amazon Textract Pricing Exercise - Amazon Textract Pricing Exercise Answer - The 3 Body Problem - The Dangers Of Discounting ### Module 8: How Platforms Are Built & Developing The Roadmap *9 lessons* - Use Case Assessment Points - AI Product Platform HRTech Exercise: Learn From My Mistakes - Problem, Data, & Solution Space Definitions - How Platforms Were Built - How Platforms Were Built Exercise Answer - Blurring The Lines Between Products And Operations - Breaking Initiatives Down And Meeting The Business Where It Is - Introduction To T-Shaped Platforms - From Opportunities To Roadmaps ### Module 9: The Operations & Decision Platforms *9 lessons* - Introduction - How Are Operating Platforms Monetized? - Operating Platform As A Product - What Happens When Workflows Are Disconnected? - Creating Alignment With Customers - Introduction To The Decision Platform - Understanding Platform Layers - Why Data Gathering Is Harder For Decision Platform Features - Decision Chains And ROI ### Module 10: Generative AI Product & Platform Strategy *8 lessons* - Introduction To The Fourth Platform - Why Generative Interfaces And Products Have Rapid Adoption Cycles - Disrupting Education Workflows And Adaptations - Disrupting Streaming Exercise - Disrupting Streaming Exercise Answer - SAP Joule Generative Interface Case Study - Saving ChatGPT Exercise - Saving ChatGPT Exercise Answer ### Module 11: Managing An AI Product *11 lessons* - Introduction And Understanding Tractable - Saving Tractable Exercise - Saving Tractable Answer - Introduction To Competitive Analysis - Who Are Your Stakeholders - High-Level Pushback Strategies - Business Culture Causes Resistance - The Business Culture Must Adapt For Us To Get Buy In - A Game Of Alignment - Managing Stakeholder Expectations - The Board Would Like A Word: Communication Strategy For CxOs & The Board ### Module 12: Managing A Technical AI Product & Research *8 lessons* - Introduction And Do You Need A Technical Background - Revisiting The Problem, Data, And Solution Space Breakdowns - Nike SNKRS App Introduction - Causal KPIs And Setting Up For The Experiment - Setting The Conditions For An Experiment And Research Phase - Nike SNKRS App Experiment 1 - Managing The Research Lifecycle - Nike SNKRS App Experiment 2 ### Module 13: AI Product Go To Market Strategy *7 lessons* - Introduction - The Path To Breakeven - The Path To Profitability - Scaling The SAM - Scaling The TAM - Extending The Platform - Adding New Products ## Questions **What is AI Product Strategy Certification?** The AI Product Strategy Certification is a self-paced course by Vin Vashishta, with 13 modules and more than 20 hours of instruction, that takes AI products from opportunity discovery through pricing and go-to-market. **How much does it cost, and what's included?** $595 for the full certification. It includes case studies from McDonald's, Ford, Nike, SAP, and more, content updated with new case studies, email support, optional 1:1 sessions with Vin. **How long does it take?** It's self-paced, so you set the schedule. There are 13 modules and more than 20 hours of instruction, case studies, and exercises, with office hours twice a week. Start immediately after you enroll; access runs for a year, with office hours for questions along the way. **Do I need a technical background?** No product management background is required. Students who get the most out of it have three to five years on a data team or on data and AI initiatives. **Can I expense it?** Some students do, and approval depends entirely on your employer's policy. A reimbursement guide written to forward to your manager is linked on this page. **Which course should I take?** Choose this self-paced certification if you want AI product work on your own schedule. AI Product Management: From 0 to ROI is the live cohort version. Not sure either fits? The course matcher scores 40 job titles. ## Instructor Vin Vashishta is the author of From Data to Profit (Wiley) and has applied every framework in this course with clients including Airbus, Walmart, Siemens, and JPMorgan Chase. More than 9,000 professionals in 47 countries have taken his courses.