Master Generative AI to supercharge your Product Management career
Duration: 72 hours
Lectures: 102
Video: 9 hours
Certificate of completion
Course description
As a product manager, you’re under pressure to leverage AI in your products, but the rapid rise of generative AI can feel overwhelming. One industry report put it bluntly: AI is no longer optional – if you’re not onboard, you’re already falling behind . Indeed, AI product management has become the upskilling trend of 2025 , yet many PMs feel lost on where to start. Without guidance, you risk missing out while competitors use AI to innovate faster. In fact, 59% of product teams say a lack of AI expertise is holding them back from fully harnessing AI’s potential . It’s frustrating to know AI could amplify your impact, but not have the skills or confidence to use it effectively in your day-to-day work.
Generative AI for Product Managers is a comprehensive course designed to close this skill gap and turn that overwhelm into excitement. We start with the basics and quickly ramp up to advanced applications, so you build expertise step by step. You’ll become proficient with prompt engineering, learn to leverage popular AI tools (ChatGPT, Claude, GitHub Copilot, Google Gemini, etc.) for product management tasks, and discover use cases you never even considered. Through a mix of theory and hands-on exercises, you’ll practice applying AI to real product scenarios – from brainstorming features and analyzing user feedback to drafting PRDs and marketing copy with AI assistance. By the end, you’ll have the know-how to deliver better products in shorter timeframes and the confidence to lead AI-driven initiatives. In short, this course transforms you into an AI-savvy product manager who can build products faster, make data-driven decisions, and stay ahead of the curve.
Requirements
- Paid ChatGPT subscription
What is the target audience?
- Business Analysts
- Project Managers
Curriculum
Curriculum
Introduction to the course
GenAI fundamentals for Product Management
Ideation and user research with GenAI
Product definition: Requirements, prioritization, and roadmaps with AI
Execution and collaboration: Working with engineering and cross-functional teams using AI
Launch, Go-To-Market, and stakeholder engagement with AI
Post-launch analysis and iteration with AI