Generative AI: Revolutionizing the Product Owner Role
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Generative AI: Revolutionizing the Product Owner Role
This course is part of multiple programs.
Instructors: SkillUp
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What you'll learn
Hands-on GenAI skills that enable Product Owners to strengthen product strategy, enhance stakeholder collaboration, & significantly boost efficiency
How to apply GenAI tools for market trend analysis, customer feedback insights, and data-driven product road mapping
Labs and projects with popular GenAI tools to create user stories, refine backlogs, and drive strategic alignment across the product lifecycle
How to use GenAI to strengthen stakeholder engagement, analyze sentiment, and improve communication throughout product development
Skills you'll gain
Tools you'll learn
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There are 3 modules in this course
Product Owners who can leverage Generative AI (GenAI) have a real competitive edge. It’s a powerful tool that enables them to make informed decisions quickly, improve backlog management efficiency, and enhance stakeholder collaboration.
In this course, you’ll learn how to use GenAI to boost efficiency, product value, and strategic alignment. You’ll explore how AI informs product strategy through market trend analysis, sentiment insights, and competitive benchmarking. You’ll get hands-on using GenAI tools to generate user stories, assess features, and prioritize the backlog. Plus, you’ll learn how to use AI to enhance stakeholder communication and alignment throughout development. You’ll also look at ethical AI practices such as identifying risks, addressing bias, and promoting responsible adoption in product management. Throughout, you’ll build a strong, practical understanding of how to use GenAI tools like Google Gemini, ChatGPT, and Microsoft CoPilot in hands-on labs. Plus, in a guided project, you’ll use these tools to create essential product artifacts and deliverables across the product lifecycle. If you’re looking to power up your Product Owner career using GenAI and enroll today!
In this module, you will explore how generative AI is rapidly evolving within Product Ownership. AI is reshaping how Product Owners define product visions, manage backlogs, and engage with stakeholders by automating tasks, optimizing decision-making, and enhancing collaboration. More Product Owners are integrating AI-driven tools to improve strategic alignment, prioritize features effectively, and maximize product value. You will learn how AI tools streamline tasks, support scenario planning, and drive efficiency across the product lifecycle—from ideation to launch.
What's included
12 videos2 readings3 assignments2 discussion prompts7 plugins
12 videos•Total 66 minutes
- Course Introduction•4 minutes
- Expert Viewpoints: Meet Your Experts•3 minutes
- Generative AI for Product Owners •7 minutes
- How Product Owners Leverage Generative AI•6 minutes
- Expert Viewpoints: How Product Owners Effectively Use AI•3 minutes
- Implementing Generative AI in Product Ownership •6 minutes
- Expert Viewpoints: The Future of AI•4 minutes
- Generative AI's Role in Requirements Development•7 minutes
- Using AI for Strategic Decision-Making and Roadmapping•7 minutes
- AI for Innovation and Value Delivery•8 minutes
- AI for Task Optimization•7 minutes
- Expert Viewpoints: AI for Requirements and Prioritization•4 minutes
2 readings•Total 13 minutes
- Course Overview•10 minutes
- Module Summary: Integrating AI into Product Ownership •3 minutes
3 assignments•Total 33 minutes
- Practice Quiz: AI's Role in Modern Product Management•6 minutes
- Practice Quiz: AI-Driven Requirements and Stakeholder Engagement •6 minutes
- Graded Quiz: Integrating AI into Product Ownership•21 minutes
2 discussion prompts•Total 20 minutes
- Discussion Prompt: How Can Generative AI Improve Your Effectiveness as a Product Owner? •10 minutes
- Discussion Prompt: What Are the Biggest AI Advantages for Product Owners?•10 minutes
7 plugins•Total 82 minutes
- Reading: How to Make the Most of this Course•3 minutes
- Reading: Top Generative AI Tools for Product Owners•4 minutes
- Reading: Case Study: Successful AI Implementations in Product Ownership•5 minutes
- Lab: AI Opportunities in Product Development•30 minutes
- Reading: AI for Stakeholder and Sentiment Analysis•5 minutes
- Reading: How AI Builds on Past Insights •5 minutes
- Lab: Generative AI-Powered Stakeholder Engagement•30 minutes
In this module, you will explore how generative AI is transforming the Product Owner’s role across the product development lifecycle stages. AI tools can streamline user story development, backlog prioritization, sprint planning, and execution, while enhancing collaboration, retrospectives, and knowledge sharing. You will also examine the ethical dimensions of AI adoption for addressing bias, risk, and responsible usage, and learn to anticipate the evolving responsibilities of Product Owners in an AI-assisted future.
What's included
11 videos1 reading3 assignments2 discussion prompts5 plugins
11 videos•Total 63 minutes
- Demo Video: AI for User Story Development•6 minutes
- Demo Video: AI for Backlog Development and Prioritization•4 minutes
- Demo Video: AI for Product Roadmap Development•5 minutes
- Using AI to Manage Sprint Execution•8 minutes
- Expert viewpoints: Sprint Execution with AI•2 minutes
- Using AI to Manage and Share Knowledge •8 minutes
- Overcoming Bias in AI Models•6 minutes
- Risks of AI in Sprint Planning •7 minutes
- Expert Viewpoints: AI Ethics and Bias •3 minutes
- Challenges with Generative AI•7 minutes
- Video: The Future of AI in Product Ownership •7 minutes
1 reading•Total 5 minutes
- Module Summary: AI-Driven End-to-End Sprint Management and Ethical Considerations •5 minutes
3 assignments•Total 36 minutes
- Practice Quiz: Enhancing Sprint Planning and Execution with AI •9 minutes
- Practice Quiz: Ethical Considerations in AI-Driven Product Ownership•6 minutes
- Graded Quiz: AI-Driven End-to-End Sprint Management and Ethical Considerations •21 minutes
2 discussion prompts•Total 20 minutes
- Discussion Prompt: Share Your Experience with AI Tools for Planning •10 minutes
- Discussion Prompt: What Are the top AI challenges in Product Management? •10 minutes
5 plugins•Total 85 minutes
- Reading: Demo Scenario Overview•5 minutes
- Reading: Prompts for Demonstration Videos•5 minutes
- Lab: Generative AI for Sprint Planning•30 minutes
- Reading: Ethical Considerations in AI Adoption•15 minutes
- Lab: AI Ethics in Program Decision-Making•30 minutes
The module includes a final project based on the concepts covered in the course. In this module, you will attempt a graded quiz to test and reinforce your understanding of concepts. The module also includes a glossary to enhance comprehension of generative AI-related terms.
What's included
2 videos2 readings1 assignment4 plugins
2 videos•Total 7 minutes
- Course Wrap-Up•4 minutes
- Expert Viewpoints: Tips for Using AI for Product Owners•3 minutes
2 readings•Total 3 minutes
- Congratulations and Next Steps •2 minutes
- Thanks from the Course Team •1 minute
1 assignment•Total 30 minutes
- Final Quiz: Generative AI: Revolutionizing the Product Owner Role•30 minutes
4 plugins•Total 90 minutes
- Reading: Project Overview•5 minutes
- Guided Lab Project: Develop a Scenario Based on an Interview with a Key Customer Segment•60 minutes
- Glossary: Generative AI: Revolutionizing the Product Owner Role•15 minutes
- Reading: AI Prompting Cheat Sheet for Product Owners•10 minutes
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Reviewed on Feb 25, 2026
Recommended for all POs who are randomly integrating AI in their work.
Frequently asked questions
Product Owners can use generative AI to quickly draft user stories, generate acceptance criteria, summarize customer feedback, and create product documentation. This helps speed up planning and improve communication with stakeholders and development teams.
Generative AI enables Product Owners to improve effectiveness, make better use of their backlog, and better involve stakeholders. It facilitates data-driven decision-making and gives Product Owners a competitive advantage in quickly releasing high-value products.
Product Owners can leverage generative AI to view market trends, create user stories, review feature requests, and prioritize backlogs. AI applications also assist in interpreting stakeholder input and generating product roadmaps on customer requirements and business objectives.
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