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Live cohortLeadership

AI Product Leadership

Lead the AI transformation with defensible strategy, adaptive roadmaps, and an AI-native operating model.

Next cohortJul 12 – Jul 31, 2027
Length3 weeks
Live instruction~25 hrs + 6 hrs optional Q&A
Rating4.6★ (223)
4.5 / 5From 321 participant ratings
100,000+Professionals trained
Why this matters now

The old leadership playbook cannot survive an AI market.

When capabilities shift every few weeks, annual plans become outdated before the teams execute them. When foundation models become commodities, features that looked differentiated in Q1 can be copied by Q3.

The leadership challenge is no longer simply deciding where to add AI. It is deciding where AI creates strategic leverage, which advantages compound with use, how the economics behave at scale, and how humans and agents should share the work.

Without that operating system, companies collect pilots. Teams build impressive demos, executives announce transformation, and nothing reaches a level of trust, adoption, or economics that can survive production.

This certification teaches you to lead the whole system: strategy, roadmap, workforce, economics, governance, and execution.

The goal is not to ship more AI features. It is to build an advantage that gets stronger every time customers use the product.
What you'll learn

Everything this certification puts in your hands.

01

Build a contextual moat

Stop treating model access as differentiation.

  • Master four sources of AI leverage: Data, Distribution, Trust, and Learning Loops
  • Separate breakthrough opportunities from commodity wrappers
  • Design advantages that compound even as models improve
02

Plan in motion

Replace rigid annual planning with a strategy that can absorb constant change.

  • Build a sensing function for new models, behaviors, and competitor moves
  • Separate durable strategic choices from replaceable technical assumptions
  • Update roadmaps without creating organizational chaos
03

Roadmap for learning and retention

Prioritize initiatives by what the company learns—not only what it ships.

  • Sequence high-risk bets around evidence and decision points
  • Connect customer feedback to product and model improvement
  • Turn usage into a learning loop competitors cannot easily copy
04

Architect the human + agent workforce

Scale output without blindly scaling headcount.

  • Use the Baton Pass to divide repeatable work from judgment work
  • Define decision rights, review thresholds, and escalation paths
  • Redesign workflows around human strengths and agent leverage
05

Master AI economics

Prevent growing usage from quietly destroying the business model.

  • Forecast inference costs as usage and complexity scale
  • Balance quality, latency, reliability, and margin
  • Quantify trust, risk, and human review as operating costs
06

Escape pilot purgatory

Turn experiments into governed, measurable production systems.

  • Choose metrics before the first prototype is built
  • Align product, design, engineering, data, legal, and leadership
  • Use the 4D Method from Discovery through Deployment
The capstone

Leave with an AI Compounding Advantage Blueprint.

Apply every framework to one real initiative from your company. Build an executive-ready case that connects the customer problem, strategic moat, economics, operating model, governance, and next investment decision.

Your final proof: a decision document leaders can use to fund, stop, sequence, or reshape an AI initiative—not a hypothetical classroom exercise.
OpportunityCustomer problem and strategic value
MoatData, distribution, trust, and learning loops
EconomicsCost, quality, margin, and scaling assumptions
Operating modelHuman-agent roles and decision rights
GovernanceRisk, trust, metrics, and launch gates
RoadmapEvidence milestones and investment decisions
Curriculum

Week by week.

Dates are the published cohort schedule.

Week 1Strategize — The AI Moat BlueprintJuly 24–25+
  • Map AI leverage across data, distribution, trust, and learning loops
  • Distinguish durable advantage from model-dependent features
  • Choose one high-conviction strategic opportunity
  • Define the assumptions that must be proven
Deliverable: First draft of your Compounding Advantage Canvas
Week 2Devise — AI Roadmapping & RetentionJuly 26–August 1+
  • Build a sensing function for rapid market and model changes
  • Sequence investments around evidence instead of false certainty
  • Design feedback loops that increase retention and product learning
  • Align cross-functional leaders around adaptive roadmap decisions
Deliverable: Evidence-based AI roadmap and learning-loop design
Week 3Operationalize — Economics, Workforce & TransformationAugust 2–7+
  • Model inference costs, quality thresholds, and unit economics
  • Design the Baton Pass between humans and agents
  • Define governance, trust metrics, and executive launch gates
  • Present an investment-ready AI transformation blueprint
Deliverable: Final executive AI Compounding Advantage Blueprint
Faculty

Taught by the people doing the work.

Amit Fulay

VP of Product at Uber

Amit is VP of Product at Uber, and previously worked at Google and Microsoft.

What's included

Everything that comes with your seat.

Live executive sessions

Learn directly from experienced product leaders in an interactive format.

Applied leadership project

Use your own initiative to build a decision-ready transformation blueprint.

Framework library

Use the moat, sensing, economics, workforce, and 4D decision tools.

Peer leadership cohort

Pressure-test assumptions with professionals facing comparable decisions.

Lifetime access

Return to the sessions, recordings, and supporting materials when needed.

Certificate of completion

Show that you completed the applied AI Product 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.