Build
products that
think.
Lead teams
that deliver.
Learn to identify AI product opportunities, define AI product hypotheses, evaluate AI-enabled solutions, manage AI product risk, and guide products from concept to measurable business impact.
Develop the practical skills and leadership mindset needed to lead AI-enabled products with confidence.
Product management is changing. The best product leaders are changing with it.
AI is reshaping how products are imagined, tested, built, and improved. This course helps learners know where AI belongs, where it does not, and how to lead people through the messy middle.
Spot the signal
Identify meaningful AI product opportunities hiding inside customer pain points, team workflows, and business goals.
Shape the concept
Turn early ideas into clear AI use cases, product hypotheses, success measures, and responsible delivery plans.
Lead the system
Guide teams, stakeholders, and leaders through AI decisions with confidence, clarity, and human judgment.
A practical command center for AI product leadership.
Learn through short practical cycles that combine AI-assisted product discovery, AI product hypothesis development, AI-specific product requirements (PRDs), model evaluation, responsible AI governance, and implementation planning.
Identify AI product opportunities
Identify where AI creates real value, where it adds noise, and how to assess whether a use case is worth pursuing.
Design with humans in the loop
Practice reviewing AI outputs, identifying risks, protecting sensitive data, and keeping people accountable for final decisions.
Build practical product strategies
Create prompts, use case maps, decision criteria, stakeholder messages, and action plans ready for team use.
Lead through adoption friction
Prepare for leadership concerns, team uncertainty, and decision pressure with practical AI-assisted coaching prompts.
Why This Learning Experience is Different
Practical, AI-infused, human-centered.
This is not a passive lecture experience. Learners connect ideas to their own work, practice with AI, and leave with usable product artifacts.
Practical, not theoretical
Every concept connects to a real product decision, delivery challenge, or team conversation.
AI-infused, not AI-obsessed
AI supports drafting, analysis, reflection, planning, and product thinking.
Responsible by design
Learners check outputs for accuracy, bias, tone, risk, and fit for purpose.
Built for adoption
Participants leave with next steps, prompts, and a product leadership action plan.
Is this the right course for you?
This course is designed for Product Managers and Senior Product Managers who are being asked to bring AI into product strategy—but want a practical framework before making important product decisions.
- You have roughly 5–10 years of product management experience and influence product strategy, roadmaps, or customer outcomes.
- You work in a mid-sized organization of approximately 200–2,000 employees where AI is becoming a strategic priority.
- You’ve been asked to explore AI opportunities but need a structured way to evaluate business value, feasibility, customer impact, and risk.
- You need practical artifacts for your next roadmap review—including AI use cases, product hypotheses, AI PRDs, and a delivery plan.
- You want to walk into your next roadmap review Ai-ready, not scrambling to explain why you don't have a plan yet.
- You’re looking for a software engineering or machine-learning course.
- You want to learn how to code, build, or train AI models.
- Your main goal is simply to add another certificate to your profile.
- You prefer passive, self-paced video libraries over live participation.
- You aren’t currently involved in product decisions, product strategy, or AI-enabled product work.
We don't teach AI tools.
We develop AI product leaders.
Technology changes quickly. Great product leadership endures. Our approach blends practical product management, AI-enabled decision making, and human judgment so leaders can confidently guide products, teams, and organizations through continuous change.
Practical
Learn through real product scenarios, workshops, and implementation planning— not abstract AI theory.
AI-infused
AI supports discovery, prioritization, planning, communication, and product delivery throughout the learning journey.
Human-centered
AI assists. People decide. Responsibility, ethics and trust remain at the center of every product decision.
What You’ll Leave With.
Every participant leaves with practical tools, reusable assets, and AI-enabled workflows that can be applied immediately — not just notes from a course.
AI Product Playbook
A practical guide for applying AI across the product lifecycle.
Prompt Library
Ready-to-use prompts for discovery, prioritization, planning, and stakeholder communication.
AI Product Templates
Editable AI Product Requirement Documents (PRDs), AI opportunity canvases, prioritization matrices, and implementation planning templates.
AI Use Case Toolkit
Evaluate opportunities, value, feasibility, and implementation risks.
Leadership Action Plan
A personalized roadmap for applying what you’ve learned over the next 90 days.
Course Resource Library
Guides, reference material, and future updates to support continued learning.
Every artifact is designed to be used.
Not filed away. Not forgotten. Used. Return to work ready to lead better product conversations on Monday morning.
Leave Ready to Lead.
Leave with the confidence, practical experience, and AI-enabled mindset to guide products from AI opportunity to measurable business impact.
Identify AI opportunities worth pursuing through AI product hypotheses, and prioritize use cases based on business value, feasibility, and risk.
Define AI use cases with confidence by balancing value, feasibility, risk, and measurable outcomes.
Use AI as a strategic thinking partner to accelerate discovery, planning, communication, and decision-making.
Evaluate AI outputs responsibly for accuracy, bias, tone, risk, and business fit.
Lead with human judgment by keeping people accountable for product decisions.
Build your leadership action plan for applying AI product leadership after the course.
Taught by Robert Wallace.
Chief AI Officer | 30+ years in technology strategy
Robert has led large-scale AI, agile, cloud, and organizational transformation initiatives across enterprise and government environments. His experience connects emerging technology with practical product strategy, responsible decision-making, and real-world implementation.
His professional development includes executive education from Wharton in CTO leadership and an MIT Sloan credential in Design Thinking.
The next generation of products needs the next generation of product leaders.
Become the product leader your organization will need next. Learn to turn AI opportunity into confident decisions, responsible products and measurable impact.