Knowledge
Gain the essential expertise and hands-on experience needed to thrive as a Product Manager leveraging AI innovation within both commercial product/service companies and internal applications.
AI Product Management Training Syllabus
Through interactive exercises and discussions, participants will learn how to:
- Understand the potential benefits and risks of AI technologies through qualifying assessment criteria.
- Use problem space thinking to evaluate whether and where AI technologies solve customer’s problems.
- Develop an informed hypothesis of which AI-based solutions add value to their customers.
- Prepare clear, data-driven communications to make recommendations to senior leadership on adding AI capabilities on the roadmap.
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Best Practices
Our focus lies in equipping you with adaptable and resilient strategies, so you can manage a wide range of products or services, utilizing the Productside Blueprint methodology.
Tools
Participants leave the course with an AI Investigation Workbook, a copy of the Productside Playbook, and a template for Prompt Engineering you can immediately use back on the job.
AI Product Management
Course Outline
- Unit 1: Stay Calm and Focus on the Problem Space
- Unit 2: Feel their Pains, Learn their Gains
- Unit 3: Decode the Data Reality
- Unit 4: Stake Out an AI Playing Field
- Unit 5: Optimize Product with Prompt Engineering
- Unit 6: Unpack Unknowns
- Unit 7: Build on Tiny Bets for Big Wins
- Unit 8: Socialize an Outcomes Blueprint
- Unit 9: Scale for Sustained AI Success
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