AdvancedProduct Managers
AI Product Strategy for Leaders
For senior PMs, product leaders, and VPs. This path covers writing AI product strategies, making build-vs-buy decisions at scale, pricing AI products, evaluating vendors, and building the data infrastructure that powers AI.
5 modules21 steps~4.5 hours
0% complete0/21 steps
Path Progress: 0% (0/21 steps)▾
○Module 1: Writing Your AI Strategy0/5
○Module 2: Build, Buy, and Vendor Decisions0/6
○Module 3: Pricing AI Products0/6
○Module 4: Measuring AI ROI0/4
○Module 5: Scaling AI Across the Organization0/5
After completing this path, you will be able to:
- ✓Write a complete AI product strategy that connects to business outcomes
- ✓Make informed build vs. buy and vendor selection decisions
- ✓Design pricing models for AI-powered products
- ✓Build a data strategy that supports long-term AI product development
Prerequisite: Building and Shipping AI Features
Learning Objectives
- •Write a 7-step AI product strategy document
- •Align AI initiatives with business objectives
- •Find and validate AI product-market fit
Learning Objectives
- •Evaluate AI vendors using a structured framework
- •Make informed build vs. buy decisions for AI capabilities
- •Assess data strategy requirements for AI initiatives
Learning Objectives
- •Understand token-based, outcome-based, and usage-based pricing models
- •Calculate unit economics for AI features
- •Model different pricing scenarios
✏️
15m
🏁
5m
Learning Objectives
- •Build an ROI model for AI initiatives
- •Measure and communicate AI feature ROI
- •Present AI investments to executives
Learning Objectives
- •Scale AI product development beyond a single team
- •Learn from case studies of successful AI organizations
- •Build repeatable processes for AI product launches
Path Progress
0% complete0/21 steps
○Writing Your AI Strategy0/5
○Build, Buy, and Vendor Decisions0/6
○Pricing AI Products0/6
○Measuring AI ROI0/4
○Scaling AI Across the Organization0/5
0 of 21 steps completed