Build a contextual moat
Stop relying on a temporary “better model” advantage.
- Use workflow integration and proprietary learning loops
- Apply the 4 Hypotheses to test durability
- Design an advantage that survives the next model release
All courses
Live cohortLeadership
AI Product Strategy for Leaders
Build a defensible AI strategy and leave with your AI Moat Blueprint.
4.8 / 5From 84 participant ratings
$0 → $1BCursor growth during Rohan’s tenure
10,000+Professionals trained by Product Faculty
24 frameworksConnected into one strategic system
Why this matters now
Your model advantage has an expiration date.
Every company can access the same frontier models. Every competitor can copy a visible AI feature. And every technical advantage gets thinner with the next model release.
The leaders who win will not be those who ship the most AI demos. They will be those who understand where value is moving, which advantages compound, how the economics behave at scale, and how product, data, and go-to-market reinforce each other.
Without that strategy, teams fall into pilot purgatory: impressive prototypes, unclear economics, weak adoption, and no defensible reason the customer must choose you.
This certification gives you the frameworks to make the hard choices—where to play, how to win, what not to build, and what must become stronger with every customer interaction.
Models will change. APIs will change. Your advantage must survive both.
What you'll learn
Everything this certification puts in your hands.
Manage the AI P&L
Know whether greater adoption improves or destroys the business.
- Forecast inference costs that scale with usage
- Balance cost, quality, speed, and reliability
- Escape pilot purgatory with explicit economic gates
Architect full-stack strategy
Replace isolated features with one reinforcing system.
- Connect data acquisition, roadmap, and GTM
- Separate company, product, and AI strategy
- Align technical bets with a clear way to win
Earn board-level conviction
Replace hand-wavy AI ambition with decision-grade clarity.
- Use the USD Framework: Up, Sideways, Down
- Set expectations for uncertain, high-risk bets
- Present a credible path from capability to value
Design AI pricing and GTM
Stop forcing AI economics into a traditional seat-based model.
- Price around outcomes, value, and usage
- Account for trust friction in adoption
- Align customer incentives with your cost structure
Read the disruption map
Find where AI is breaking an existing value chain.
- Analyze Competition, Company, Capability, and Customer
- Select the right AI product archetype
- Prioritize the opportunities with asymmetric upside
The capstone
Produce your AI Moat Blueprint™
Apply the complete strategy system to one real product or business. Leave with a rigorous document that explains where you will play, how you will win, why the economics work, and what must be true before the company invests.
Personally reviewed: your blueprint is pressure-tested for strategic contrast, moat durability, economic viability, organizational alignment, and board-level clarity.
DisruptionWhere the value chain is breaking
Strategic contrastThe choice competitors will not make
Contextual moatWorkflow and proprietary learning loops
EconomicsCost, quality, pricing, and margin
Full stackData, roadmap, product, and GTM
Executive caseRisks, milestones, and investment decision
Curriculum
Week by week.
Dates are the published cohort schedule.
Week 1AI Strategy Fundamentals & Paradigm ShiftOctober 19–25+
- Separate company, product, and AI strategy
- Analyze the four layers of disruption
- Select an AI archetype and capstone challenge
Week 2Architecting the AI MoatOctober 26–November 1+
- Define strategic contrast
- Build contextual moats and proprietary learning loops
- Pressure-test durability with the 4 Hypotheses
Week 3AI Economics, Pricing & P&LNovember 2–8+
- Model inference cost at different usage levels
- Balance quality, speed, reliability, and margin
- Design outcome- and usage-aware pricing
Week 4Full-Stack Strategy & Go-to-MarketNovember 9–15+
- Connect data, product roadmap, and GTM
- Design around trust barriers and adoption friction
- Align cross-functional leaders around one strategy
Week 5Board-Level Clarity & Blueprint ReviewNovember 16–21+
- Use the USD Framework for scenario planning
- Define milestones, risks, and investment gates
- Present and defend the complete AI Moat Blueprint
Faculty
Taught by the people doing the work.
Rohan Varma
Product Leader, Codex at OpenAI · Former first PM at Cursor
Rohan works on Codex at OpenAI. Previously, as Cursor’s first product manager, he helped build one of the fastest-growing software companies in history.
Before Cursor, Rohan was a Y Combinator founder who raised more than $25 million across three startups.
Moe Ali
CEO, Product Faculty
Moe has built and led products at Apple, Bell, Loblaw Digital, and PathFactory, while also building and selling a startup.
For the past decade, he has built Product Faculty and trained more than 10,000 product professionals.
What's included
Everything that comes with your seat.
Live expert sessions
Learn directly from Rohan and Moe in an interactive format.
Weekly capstone clinics
Pressure-test the logic behind your moat and roadmap.
Strategy framework library
Use the Moat, 4 Hypotheses, USD, disruption, and GTM tools.
Personal blueprint review
Receive direct feedback on your final strategic document.
Lifetime access
Return to recordings and materials whenever needed.
Certificate of completion
Show completion of the applied leadership program.
Questions
Is everything taught live?
The Fellowship is built around live, cohort-based learning. You learn directly from the named practitioners, ask questions, complete applied work, and receive the latest insights from people working at the frontier.
Advanced Product Management is included as an on-demand program for strengthening timeless product fundamentals.
How much time will I need each week?
Most cohorts are designed for busy working professionals and require only a few hours per week. The exact commitment varies by program. You'll get the most value by attending live, completing the exercises, and making time for your capstone.
What if I miss a live session?
Attend live whenever possible because the discussions, feedback, and accountability are important parts of the experience.
However, missing an occasional session won't ruin your progress. You can also retake eligible cohorts during your active membership.
Can I retake a cohort?
Yes. You can retake eligible cohorts at no additional cost while your membership remains active. This allows you to experience the updated curriculum, refresh your knowledge, and apply what you learn to a new project as AI evolves.
Can my employer pay for it?
Yes. Many professionals use their learning and development budgets to cover the Fellowship.
We provide a manager-approval email template explaining the practical value to your company. Corporate cohort options are also available for teams. If your company needs an invoice, email support@productfaculty.com and we'll sort it.
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Every other certification, included.
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