AI Product Leadership Certification
Satyajeet Salgar
Director of Product, Google AI
Amit Fulay
VP of Product, Uber
Lead the AI Transformation. Don't just witness it
AI is a market-decimating force. The old playbook of "shipping features" is dead. Leaders must now build "Contextual Moats" and defensible strategies.
This course bridges Executive Leadership and AI Strategy, infusing our #1 Ranked curriculum with frameworks to win in the AI age.
What You'll Get:
1. Define Strategic Leverage: Master the 4 Sources of AI Leverage (Data, Distribution, Trust, Learning Loops). Build moats that endure even when models become commodities.
2. Shift to "Planning in Motion": Traditional planning fails when the landscape shifts weekly. Build a "Sensing Function" to create roadmaps that adapt to new models and competitor moves without descending into chaos.
3. Architect the Human + Agent Workforce: Scale output, not headcount. Learn to design the "Baton Pass"—assigning repeatable tasks to Agents and judgment tasks to Humans to maximize leverage.
4. Master AI Economics: Powerful models cannot fix weak unit economics. Master the new P&L: forecast scaling inference costs, manage the "Cost vs. Quality" trade-off, and operationalize Trust.
What you’ll learn
Lead the AI Transformation. Don't just witness it.
Stop shipping commodity features. Master the 4 sources of AI leverage: Data, Distribution, Trust, and Learning Loops
Identify true leverage. Distinguish where AI creates breakthrough value versus where it is just a wrapper looking for a problem
Create strategic roadmaps. Build high-conviction plans for high-risk bets that account for non-deterministic model behavior.
Forecast inference costs. Learn how costs scale linearly with usage and model complexity, unlike traditional SaaS margin models.
Optimize "Cost vs. Quality." Select the right models and trade-offs to ensure your AI initiatives drive profit, not just hype.
Operationalize Trust. Quantify "Trust in UX" as a metric to manage liability and increase adoption of probabilistic products.
Structure for scale. Define metrics that matter from day one to avoid the trap of endless experimentation and "demo-ware
Align the organization. Unite engineering, design, and data science teams behind a shared vision using the AI Leader's Mindset
Execute with the 4D Method. Implement a proven system to guide features from Discovery to Deployment and ship real solutions.
Who this course is for
Ambitious Senior PMs, GPMs, & VP Level Leaders: Leaders who are responsible for product success and need to crystallize their skills to lead
Founders & Executives: Those who realize that "be first to market" is no longer enough and need a strategy that provides a durable advantage
Note: This course is not for early-career PMs or those looking for a basic introduction to prompt engineering. This is a strategy and leader
What's included
Live sessions
Learn directly from your instructors in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund through the second week of the course.
Course syllabus
Week 1
Strategize — The AI Moat Blueprint
Week 2
Devise — AI Roadmapping & Retention
Schedule
Live sessions
1-3 hrs / week
Projects
1-2 hrs / week
Async content
1 hr / week
Testimonials
- Product Faculty offers a great interactive learning experience that makes concepts stick, and outcomes happen.
Luke Swartz
Group Product Manager, Google - Product Faculty's training helped me crystallize my knowledge and land an amazing new role.
Ammad Raja
Product Leader, Uber - As an AI Product Manager, Product Faculty's program helped me to understand the end-to-end lifecycle of bringing successful products to life.
Joanna Hou
AI Product Manager, Meta - Product Faculty's tools, tactics and frameworks allow you to not leave your product, and career success to chance.
Manoj Aggarwal
Product Leader, Amazon
Product Faculty Experience
Frequently asked questions
$5,000
USD