AI & Modern PM
Learn how to assess AI capabilities, use AI in product work, and measure AI features
intermediate
Suggested pace: 6 weeks
13 articles
What You'll Learn
- Understand AI capabilities vs implementation details
- Identify valuable AI use cases in products
- Work effectively with ML engineers and data scientists
- Measure and optimize AI feature success
- Manage stakeholder expectations about AI
Prerequisites
- • Basic understanding of product management principles
- • Familiarity with data-driven decision making
AI & Modern PM Track
This track covers the AI decisions a product manager needs to make: which capabilities fit a problem, where the risks are, and how to tell whether a feature works. You can also practice using AI for research, analysis, and other PM tasks.
Why this track matters
You don't need a technical background to start. The focus is on understanding capabilities and limits well enough to assess use cases, work with ML engineers and data scientists, and explain your choices to stakeholders.
What you'll learn
Core AI Literacy
- Demystifying AI: Understanding capabilities without the technical complexity
- The PM's AI Toolkit: When to use different AI approaches
- Risk & Limitations: What AI can't do and why that matters
- Ethical Considerations: Building responsible AI products
Practical AI Skills
- Prompt engineering: Write prompts that explain the task and required output
- User Research with AI: Synthesizing insights at scale
- Data Analysis Without SQL: Natural language data queries
- AI workflows: Automate parts of recurring PM tasks
Building AI Products
- Feature Identification: Finding the right AI opportunities
- Success Metrics: Measuring AI feature performance
- User Trust: Building explainable AI experiences
- Agentic Systems: Designing workflows that use AI models and tools
Suggested schedule
The track is organized into progressive modules, each building on the previous:
Week 1-2: Foundation
- AI Literacy for PMs
- Understanding AI Capabilities
- AI Risk Assessment
Week 3-4: Application
- Prompt engineering practice
- AI for User Research
- Data Analysis with AI
Week 5-6: Advanced
- Building Agentic Products
- AI Product Strategy
- Future of AI in Products
How to use the track
Work through the explanations, try the exercises, and compare the examples with your own product work:
- Conceptual Understanding: Read explanations of AI capabilities and limits
- Practical Exercises: Apply concepts immediately with real scenarios
- AI Assistants: Use actual AI tools as you learn about them
- Case Studies: Examine the examples and their limits
Who this track is for
Useful for
- PMs feeling overwhelmed by AI terminology
- Product leaders wanting to stay current
- PMs transitioning to AI-focused roles
- People building products with AI features
Prerequisites
- Basic product management experience
- Curiosity about AI's potential
- No technical background required
Time commitment
- Total Duration: 6 weeks
- Weekly Time: 2-3 hours
- Format: Self-paced with checkpoints
- Exercises: 30 minutes per module
Reading order
- Start Here: AI Literacy for PMs
- Build Skills: Progress through practical modules
- Apply Knowledge: Use AI in your daily PM work
- Stay Current: Access updates as AI evolves