This course is designed to equip participants with the knowledge and skills required to use AI effectively within the role of a Professional Scrum Product Owner.

Participants will learn how AI tools and techniques can support product discovery, customer research, user story development, Product Backlog management, value assessment, and product decision-making. The course also introduces responsible AI usage, human-AI collaboration, ethical considerations, and practical ways to improve Product Owner effectiveness without replacing the accountability of the Product Owner.

Through structured learning, practical examples, and hands-on scenarios, participants will gain the confidence to use AI as a support tool for product ownership, improve product decisions, and prepare for the Professional Scrum Product Owner-AI Essentials certification exam.

This course is suitable for professionals who want to understand how AI can support product ownership and agile product management.

It is especially suitable for:

• Product Owners
• Product Managers
• Business Analysts
• Scrum Masters
• Agile coaches
• Project managers working in agile environments
• Product team members
• Professionals preparing for the Professional Scrum Product Owner-AI Essentials certification exam

Participants should have basic knowledge of Scrum, product ownership, or agile product delivery.

Before attending this course, participants are recommended to have:

• Basic understanding of Scrum principles and the Product Owner role
• Familiarity with Product Backlog management, user stories, or stakeholder collaboration
• Interest in using AI tools to support product discovery and decision-making
• Awareness of responsible AI usage and human oversight
• Prior experience in product, project, or business analysis roles is helpful but not mandatory

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

• Understand how AI can support Product Owner responsibilities and product decision-making
• Use AI to support product discovery, customer understanding, and stakeholder analysis
• Apply AI-assisted techniques for user stories, Product Backlog refinement, and experimentation
• Evaluate AI-generated outputs with responsible human judgement and ethical awareness
• Prepare for the Professional Scrum Product Owner-AI Essentials certification exam

• Introduction to AI in product ownership and agile product management
• Understanding responsible human-AI collaboration in the Product Owner role
• Using AI to support product discovery, customer research, and stakeholder understanding
• Applying AI to user stories, Product Backlog refinement, prioritisation, and product goals
• Using AI to support experimentation, value assessment, and product decision-making
• Reviewing responsible AI practices, risks, limitations, and human oversight
• Preparing for the Professional Scrum Product Owner-AI Essentials certification exam