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Generative AI: Revolutionizing the Product Owner Role
Course
Generative AI: Revolutionizing the Product Owner Role
Put generative AI to work in your product role. Learn to plan smarter, collaborate faster, and lead product strategy with confidence.
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
3 weeks
2-3 hours/week
2-3 hours/week
Product Owners who can leverage generative AI (GenAI) have a real competitive edge. Its a powerful tool that enables them to make informed decisions quickly, improve backlog management efficiency, and enhance stakeholder collaboration.
In this course, youll learn how to use GenAI to boost efficiency, product value, and strategic alignment. Youll explore how AI informs product strategy through market trend analysis, sentiment insights, and competitive benchmarking. Youll get hands-on using GenAI tools to generate user stories, assess features, and prioritize the backlog. Plus, youll learn how to use AI to enhance stakeholder communication and alignment throughout development.
Youll also look at ethical AI practices such as identifying risks, addressing bias, and promoting responsible adoption in product management.
Throughout this course, youll 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, youll use these tools to create essential product artifacts and deliverables across the product lifecycle.
If youre looking to power up your Product Owner career using GenAI then enroll today!
This course comprises three purposefully designed modules that guide you along a carefully defined learning path.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assessments. To give you an idea of how long the course takes to complete, it is anticipated that if you learn 2-3 hours per week, you can finish the entire learning experience in 3 weeks. However, as long as the course is completed before the end date, you can work at your own pace.
The materials for each module will become available when you start the particular module. Methods of learning and assessment will include videos, readings, hands-on labs, knowledge check quizzes, grades quizzes, final exam, and a final project.
Once you have successfully completed the course and final assessment, you will earn your Certificate of Completion.
By the end of this course, you will be able to:
- Apply hands-on GenAI skills to strengthen product strategy, enhance stakeholder collaboration, and significantly boost productivity.
- Leverage GenAI tools for market trend analysis, customer feedback insights, and data-driven product roadmapping.
- Use popular GenAI tools through hands-on labs and projects to create user stories, refine backlogs, and drive strategic alignment across the product lifecycle.
- Harness GenAI to strengthen stakeholder engagement, analyze sentiment, and improve communication throughout the product development process.
- Product Owners applying AI to backlog and user stories.
- Agile and Scrum professionals integrating AI into planning.
- Product managers using AI for strategic insights.
- Business leaders exploring responsible AI adoption.
- A foundational understanding of product ownership, AI concepts, and generative AI fundamentals is recommended.
Course Outline
Video: Course Introduction (3:58)
General Information
Learning Objectives and Syllabus
Reading: Grading Scheme
Reading: How to Make the Most of this Course
Module Introduction and Learning Objectives
Video: Generative AI for Product Owners (6:56)
Video: How Product Owners Leverage Generative AI (5:54)
Reading: Top Generative AI Tools for Product Owners
Video: Implementing Generative AI in Product Ownership (6:20)
Reading: Case Study: Successful AI Implementations in Product Ownership
Lab: AI Opportunities in Product Development
Video: Generative AI's Role in Requirements Development (6:31)
Video: Using AI for Strategic Decision-Making and Roadmapping (6:59)
Reading: AI for Stakeholder and Sentiment Analysis
Video: AI for Innovation and Value Delivery (7:59)
Reading: How AI Builds on Past Insights
Video: AI for Task Optimization (6:47)
Lab: Generative AI-Powered Stakeholder Engagement
Module 1 Practice Quiz: Integrating AI into Product Ownership
Module 1 Summary: Integrating AI into Product Ownership
Module 1 Graded Quiz: Integrating AI into Product Ownership
Module Introduction and Learning Objectives
Reading: Demo Scenario Overview
Video: Demo Video: AI for User Story Development (5:52)
Video: Demo Video: AI for Backlog Development and Prioritization (3:44)
Video: Demo Video: AI for Product Roadmap Development (4:48)
Reading: Prompts for Demonstration Videos
Lab: Generative AI for Sprint Planning
Video: Using AI to Manage Sprint Execution (7:56)
Video: Using AI to Manage and Share Knowledge (8:00)
Reading: Ethical Considerations in AI Adoption
Video: Overcoming Bias in AI Models (6:02)
Video: Risks of AI in Sprint Planning (7:12)
Lab: AI Ethics in Program Decision-Making
Video: Challenges with Generative AI (6:59)
Video: The Future of AI in Product Ownership (7:18)
Module 2 Practice Quiz: AI-Driven End-to-End Sprint Management and Ethical Considerations
Module 2 Summary: AI-Driven End-to-End Sprint Management and Ethical Considerations
Module 2 Graded Quiz: AI-Driven End-to-End Sprint Management and Ethical Considerations
Module Introduction and Learning Objectives
Reading: Project Overview
Guided Lab Project: Develop a Scenario Based on an Interview with a Key Customer Segment
Final Quiz: Generative AI: Revolutionizing the Product Owner Role
Video: Course Wrap-Up (3:44)
Course Glossary: Generative AI: Revolutionizing the Product Owner Role
Reading: AI Prompting Cheat Sheet for Product Owners
Congratulations and Next Steps
Team and Acknowledgments
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
The course shows how product owners can use GenAI for product strategy, stakeholder collaboration, market analysis, customer feedback, road mapping, user stories, backlog refinement, sentiment analysis, and communication throughout the product development lifecycle. That adds practical context.
GenAI can help product owners analyze market trends and customer feedback, create user stories, refine backlogs, and improve communication. The course shows how generative AI can support product strategy and everyday work across the product lifecycle in this learning path.
Yes, it does. Stakeholder collaboration is a central topic. The course explores how GenAI can strengthen engagement, support strategic alignment, analyze sentiment, improve communication, and help product owners work more effectively with stakeholders throughout product development for this course.
Yes. The course includes labs and projects using popular GenAI tools. You will learn to apply them to product strategy, market analysis, customer feedback, user stories, backlog refinement, road mapping and communication across different stages of product development. This supports focused practice.
Yes, it does. The course includes hands-on work using GenAI to create user stories and refine backlogs. It helps product owners explore how AI can support backlog management, prioritization, strategic alignment, and efficiency across the product development lifecycle. This supports focused practice.
Yes, it covers. You will explore market trend analysis, customer feedback insights, and data-driven product road mapping using GenAI tools. These capabilities help you examine market signals and customer information when shaping product strategy and planning product direction.
Yes, it does. The curriculum includes customer feedback insights and sentiment analysis. You will explore sentiment insights as a way to understand customer and stakeholder perspectives, strengthen engagement, and improve communication during product development and decision-making for this course.
Yes. The course connects GenAI with product strategy and data-driven product road mapping. You also work with user stories and backlog refinement, applying AI across several stages of the product lifecycle from planning through execution. It keeps the focus on practical course-based learning.
Yes. The course includes a guided project based on the concepts covered throughout the modules, followed by a graded quiz. You will apply GenAI concepts to product-owner scenarios involving strategy, collaboration, backlog work, and responsible AI use. This adds a clear link to the certification.
Yes, the course covers ethical considerations around AI adoption, including bias, risk, and responsible usage. It also explores how GenAI can influence product owner responsibilities across sprint planning, execution, collaboration, and the wider product development lifecycle.
Type of certificate
Certificate of Completion
About this course
03 Modules
04 Skills
Includes
18 Videos
09 Readings
04 Hands-On Labs
02 Practice Quizzes
02 Graded Quizzes
01 Final Quiz
01 Final Project
Create
Create AI-powered communication strategies for stakeholder engagement
Create AI-generated backlog items and user stories
Develop an AI-informed ethical decision-making framework
Exercises to explore
Generate AI-driven insights for product development decisions
This course has been created by
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