Professional Scrum Product Owner - AI Essentials Training Course

Artificial Intelligence is quickly emerging as a cornerstone of contemporary product management, fundamentally altering the ways we identify customer requirements, design solutions, and drive strategic decisions. Much like the advent of electricity transformed industrial operations, AI is redefining the lifecycle of products, from initial construction and validation to ongoing evolution.

This live, instructor-facilitated course, available both online and on-site, is specifically designed for Product Owners, Scrum Masters, and Agile Coaches seeking to leverage AI to enhance their ownership responsibilities and bolster their decision-making capabilities.

Upon completing this program, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI systems and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the newly introduced Orchestrator role, and utilize AI to reinforce each stance—whether as a Visionary, Experimenter, or Customer Representative.
• Master the art of effective prompting, viewing AI tools not just as utilities, but as intelligent partners with distinct specialized capabilities.
• Enhance insights into customer needs and develop AI-assisted personas for discovery and hypothesis testing, all while preserving genuine, authentic interactions with end-users.
• Craft and articulate a compelling product vision using structured methodologies such as the 3x3 Framework, employing AI to refine and visualize these narratives.
• Leverage Generative AI capabilities to speed up the prototyping and hypothesis validation processes, including the creation of mock-ups and conceptual product designs.
• Inform product strategy by deploying AI tools to assess, rank, and appraise features based on their value, feasibility, and potential user impact.
• Offload or automate recurring daily obligations—such as email management, stakeholder coordination, and meeting notes—through AI, thereby allowing for greater focus on strategic and creative endeavors.
• Facilitate informed dialogues regarding AI ethics, algorithmic bias, and data security to guarantee that AI integration remains both responsible and sustainable.
• Recognize and architect high-value AI applications that are specifically aligned with the product’s needs and the broader organizational environment.
• Experiment with and explore a wide array of approximately 20 distinct AI tools and models, ranging from productivity aids and prototyping suites to generative video, image, and code generation solutions.

Course Structure

• 10% dedicated to lectures
• 30% dedicated to workshops focused on conceptual exploration and different methodological approaches
• 60% dedicated to workshops involving practical, hands-on application of AI tools