AI Product Owner for AI Products

Course overview

AI Product Owners are responsible for the content direction of AI products and functions: they prioritize the backlog, formulate requirements, and decide what is developed in what order. The training conveys this role with its AI-specific characteristics - operationally focused on the product, in contrast to strategically oriented product management. The Product Owner Role in the AI Context AI products behave differently than traditional software - this shapes the role. - Responsibility for value, backlog, and acceptance in the AI product - Dealing with probabilistic outcomes instead of fixed functional logic - Interaction with development, data specialists, and users Formulating Requirements for AI Functions - Translating user problems into verifiable AI use cases - Defining quality criteria for AI outputs: when is a result good enough - Maintaining example collections and test cases as part of the requirements - Consciously designing behavior in the face of errors and uncertainty Backlog Work and Prioritization The value of an AI function often only becomes apparent through experimentation. - Prioritization based on user value, insights gained, and risk - Experiments and prototypes as independent backlog entries - Balancing new features, quality, and data work Acceptance and Quality Assurance - Practically defining acceptance criteria for AI functions - Evaluating samples, test queries, and user feedback - Recognizing deteriorations after model or data changes Stakeholders and Responsibility - Realistically negotiating expectations for AI and communicating roadmaps - Translating legal frameworks such as data protection and the EU AI Act into requirements - Ensuring transparency for users regarding the capabilities and limitations of the product Collaboration in Daily Product Life The role thrives on daily interaction with the team. - Refinement work: jointly sharpening and estimating requirements - Making decisions on conflicting goals quickly and justifiably - Systematically collecting user feedback and translating it into the backlog - Responsible for product documentation and release communication - Managing model and vendor changes in product planning - Prioritizing data quality work over visible features - Establishing acceptance rituals that ensure quality without hindering flow - Collaborating with support and sales: utilizing feedback from the field Upon completion, participants can fulfill the Product Owner role for AI products - from requirement gathering to prioritization to acceptance.

Upcoming dates

• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-11-17T23:00:00.000Z · 2027-01-19T23:00:00.000Z · Virtuelles Klassenzimmer