Generative AI for Product Managers - Tools, Use Cases & Strategy

Hands-on GenAI for PMs covering LLMs, prompt engineering, evaluation, roadmap integration, and commercialisation.
Duration: 3 Days
Hours: 12 Hours
Training Level: All Levels
Batch One
Wednesday, April 22, 2026
12:00 PM - 04:00 PM (Eastern Time)
Batch Two
Wednesday, May 27, 2026
12:00 PM - 04:00 PM (Eastern Time)
Batch Three
Wednesday, June 24, 2026
12:00 PM - 04:00 PM (Eastern Time)
Live Session
Single Attendee
$249.00 $416.00
Live Session
Recorded
Single Attendee
$299.00 $499.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$349.00 $583.00
6 month Access for Recorded

About the Course:

This hands-on course introduces Generative AI from a product management perspective. Participants examine large language models, prompt engineering, and GenAI tools.

The curriculum covers modern architectures such as Retrieval-Augmented Generation (RAG), practical use cases, UX design, evaluation methods, and safety considerations.

Learners also explore product strategy, prototype GenAI-enabled features, and develop business cases for real-world applications.

Course Objectives:

By the end of this course, participants will be able to:

  • Explain core Generative AI concepts and capabilities.
  • Use prompt engineering and GenAI tools to prototype products.
  • Identify high-impact GenAI use cases and design effective user experiences.
  • Evaluate GenAI systems and address safety and governance considerations.
  • Develop a GenAI product concept and supporting strategy.

Who is the Target Audience?

  • Product Managers and Product Owners
  • Designers and UX professionals
  • Innovation and digital leaders
  • Technical program managers
  • Entrepreneurs and consultants

Basic Knowledge:

  • Experience with digital products or workflows.
  • Basic understanding of product management principles.
  • No coding or AI background required.

Curriculum
Total Duration: 12 Hours
GenAI Landscape & Foundations
LLM Capabilities & Limitations
Prompt Engineering
Prototyping With APIs
Use Case Identification
UX for GenAI
Evaluation Frameworks
Retrieval-Augmented Generation
Safety & Governance
Product Roadmaps With GenAI
Monetization Strategies
Demo Day