Scrum Product Owner AI Training is a comprehensive three-day program designed for Product Owners who want to effectively integrate artificial intelligence into product strategy and Scrum practices. This course focuses on how AI impacts product discovery, value prioritization, backlog management, stakeholder collaboration, and ethical decision-making, enabling Product Owners to confidently lead AI-enabled products while staying aligned with Scrum principles and business outcomes.

• Understand AI in Scrum product management
• Learn AI-driven product planning concepts
• Understand Agile AI workflow integration
• Gain knowledge of AI-assisted backlog management
• Learn data-driven decision-making basics
• Understand AI-powered customer insights
• Explore AI tools for product ownership
• Identify AI use cases in Agile delivery

• Scrum Product Owners
• Product Managers and Product Leads
• Agile coaches and Scrum Masters
• Business analysts involved in product decisions
• Professionals transitioning into AI-enabled product roles

• Basic understanding of Scrum and Agile principles
• Experience working as a Product Owner, Product Manager, or in a product-related role
• Familiarity with digital or software products
• Interest in applying AI to product strategy and delivery

• Understanding AI concepts relevant to Product Owners
• Applying AI to product discovery and value creation
• Managing AI-related backlog items and requirements
• Making ethical and responsible AI product decisions
• Aligning AI initiatives with Scrum and business goals

By the end of this training, participants will be able to act as effective Product Owners for AI-enabled products, define and prioritize AI-driven value, manage ethical and regulatory considerations, collaborate confidently with technical teams, and align AI initiatives with Scrum practices and business objectives.

AI Fundamentals for Product Owners
• What AI is and is not from a product perspective
• Types of AI relevant to digital products
• Opportunities and limitations of AI-driven features
• Common misconceptions about AI in products

AI-Driven Product Strategy
• Identifying AI opportunities aligned with customer value
• Build vs buy decisions for AI capabilities
• Defining AI-powered product vision and outcomes
• Measuring value and success of AI features

Scrum and AI Product Ownership
• Role of the Product Owner in AI-enabled teams
• Adapting Scrum events for AI product development
• Collaborating with data science and engineering teams
• Managing uncertainty and experimentation

AI Requirements, Backlogs, and Prioritization
• Writing AI-focused user stories and outcomes
• Managing data, models, and experimentation in the backlog
• Prioritization techniques for AI initiatives
• Handling technical debt and data dependencies

Ethics, Bias, and Responsible AI
• Understanding bias, fairness, and transparency
• Ethical risks in AI-powered products
• Human-in-the-loop decision-making
• Building trust and accountability into AI products

Stakeholder Management for AI Products
• Communicating AI value to business stakeholders
• Managing expectations and AI limitations
• Regulatory and compliance awareness
• Aligning stakeholders around responsible AI goals

Delivery, Validation, and Continuous Learning
• Validating AI features with real users
• Measuring outcomes beyond traditional KPIs
• Iterating AI models and product features
• Learning loops and continuous improvement

AI Product Lifecycle and Governance
• Managing AI models post-release
• Monitoring performance, drift, and risks
• Product Owner responsibilities in AI governance
• Working with legal, risk, and compliance teams

Future-Ready Product Ownership
• Emerging trends in AI-driven products
• Evolving role of the Product Owner in AI teams
• Building AI literacy within Scrum teams
• Preparing for AI-enabled product leadership

• Scrum Product Owner fundamentals
• AI in Agile workflows
• AI-assisted backlog management
• Sprint planning and prioritization concepts
• Customer insights and analytics
• AI-driven decision-making basics
• Product roadmap planning concepts
• Collaboration and stakeholder management
• Ethical AI considerations
• Practical Agile AI scenarios

• AI product strategy and backlog exercises
• Ethics and responsible AI scenario analysis
• Scrum-based AI case discussions
• Final knowledge evaluation quiz

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certification in Scrum Product Owner AI Training, validating their expertise in AI-aware product ownership, Scrum-aligned product strategy, ethical decision-making, and AI-enabled value delivery.