Official AI Product Owner Certification Program
AI Product Owner Training
Master AI for Product Owner
Learn how to integrate Artificial Intelligence into the Product Owner role to improve discovery, prioritization, stakeholder alignment, and value delivery. Apply AI in a practical way to define product vision and strategy, optimize Product Backlog refinement, write clearer user stories and acceptance criteria, build adaptive roadmaps, synthesize customer feedback, and support smarter decisions throughout Sprint Planning, Reviews, and Retrospectives—delivering higher-value products faster.
- E-learning platform
- 1 year of access (24/7)
- Everything included
- Training: €99
- Certification: €150
- Training + Certification: €199 ✅ Most popular (Recommended)
- The certification alone costs €150. With this bundle, you get the training for just €49.
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AI Product Owner Training.
Description (EN)
AI Product OwnerArtificial Intelligence is transforming how Product Owners discover customer needs, shape product strategy, manage backlogs, and make decisions. In a context of constant change, combining AI and Product Ownership is no longer optional—it is a critical capability to improve value delivery, product clarity, prioritization, and stakeholder alignment.
AI Product Owner: AI Applied to Product Ownership is a training program designed to help you understand and apply AI in real product environments with a practical, responsible, and results-oriented approach. You will learn how to integrate AI into your daily work as a Product Owner, strengthening discovery, backlog management, refinement, prioritization, roadmap building, decision-making, and continuous value validation.
Throughout the course, you will discover how to apply AI across the essential responsibilities of the role: product vision, strategy, outcomes, stakeholder management, and the Product Backlog. You will learn how to improve user stories and acceptance criteria, synthesize stakeholder and customer feedback, detect risks and dependencies, support Sprint Planning and Refinement with better clarity, and make Reviews and Retrospectives more actionable from a product perspective.
The goal is clear: to build Product Owners who are faster, smarter, and more value-driven—without losing the human judgment, leadership, and accountability that make great product ownership effective.
This training is designed for professionals with no prior technical knowledge. The key is not coding, but understanding the approach: knowing where AI adds value in Product Ownership, how to craft effective prompts, how to validate outcomes, and how to integrate AI ethically and sustainably into real product workflows.
In addition, this training is part of the official EuropeanScrum certification program, and it prepares you to pursue the AI Product Owner Foundation certification, which validates your mastery of AI applied to Product Ownership.
By the end of the course, you will be able to
Who is this for?
Requirements
No prior knowledge is required—only an interest in learning how to apply AI to improve discovery, prioritization, stakeholder alignment, and value delivery as a Product Owner.
Official certification
After completing the training, you can pursue the AI Product Owner Foundation certification, issued by EuropeanScrum, which validates your knowledge of AI applied to Product Ownership and adds a high-value professional credential to your profile.
AI Product OwnerArtificial Intelligence is transforming how Product Owners discover customer needs, shape product strategy, manage backlogs, and make decisions. In a context of constant change, combining AI and Product Ownership is no longer optional—it is a critical capability to improve value delivery, product clarity, prioritization, and stakeholder alignment.
AI Product Owner: AI Applied to Product Ownership is a training program designed to help you understand and apply AI in real product environments with a practical, responsible, and results-oriented approach. You will learn how to integrate AI into your daily work as a Product Owner, strengthening discovery, backlog management, refinement, prioritization, roadmap building, decision-making, and continuous value validation.
Throughout the course, you will discover how to apply AI across the essential responsibilities of the role: product vision, strategy, outcomes, stakeholder management, and the Product Backlog. You will learn how to improve user stories and acceptance criteria, synthesize stakeholder and customer feedback, detect risks and dependencies, support Sprint Planning and Refinement with better clarity, and make Reviews and Retrospectives more actionable from a product perspective.
The goal is clear: to build Product Owners who are faster, smarter, and more value-driven—without losing the human judgment, leadership, and accountability that make great product ownership effective.
This training is designed for professionals with no prior technical knowledge. The key is not coding, but understanding the approach: knowing where AI adds value in Product Ownership, how to craft effective prompts, how to validate outcomes, and how to integrate AI ethically and sustainably into real product workflows.
In addition, this training is part of the official EuropeanScrum certification program, and it prepares you to pursue the AI Product Owner Foundation certification, which validates your mastery of AI applied to Product Ownership.
By the end of the course, you will be able to
- Understand the essential fundamentals of Artificial Intelligence and how it applies to Product Ownership.
- Apply AI to improve Product Backlog management, refinement, prioritization, and user story definition.
- Use AI to support product discovery, customer insight synthesis, and decision-making based on data and evidence.
- Integrate AI into Scrum events (Planning, Review, Retrospective, and Refinement) to enhance clarity, alignment, and value delivery.
- Identify real opportunities for improvement, automation, and innovation as a Product Owner without breaking Scrum principles.
- Develop an AI Product Owner mindset focused on people, ethics, and professional responsibility.
Who is this for?
- Product Owners, Product Managers, Business Analysts, and product leaders who want to enhance Product Ownership with AI.
- Scrum Masters and Agile Coaches who work closely with Product Owners and want stronger product outcomes through AI.
- Executives, consultants, and business professionals involved in product strategy, prioritization, and value delivery.
- Entrepreneurs and innovation leaders who want to accelerate discovery, learning, and delivery using Product Ownership + AI.
- Students and professionals seeking a solid foundation in AI applied to Product Ownership.
Requirements
No prior knowledge is required—only an interest in learning how to apply AI to improve discovery, prioritization, stakeholder alignment, and value delivery as a Product Owner.
Official certification
After completing the training, you can pursue the AI Product Owner Foundation certification, issued by EuropeanScrum, which validates your knowledge of AI applied to Product Ownership and adds a high-value professional credential to your profile.
What does the training include?
✔︎ Training Pack – €99
✔︎AI Agile Training + Certification Pack – €219
- Exclusive e-learning platform.
- Up to 1 year of access, until you pass the certification.
- 8 hours of immersive training.
- The training is structured into lessons. Each lesson includes reading material, an HD video, exercises, and self-assessment tests.
- AI-certified instructor.
✔︎AI Agile Training + Certification Pack – €219
- Everything included in the Training Pack, plus:
- Access to a premium online exam simulator for the AI Product Owner certification.
- Two exam vouchers for the AI Product Owner certification exam.
- A professional AI profile showcasing your certificates.
- Personalized support from the instructor via email and WhatsApp.
- 100% Pass Guarantee.
Possibly the best AI Product Owner training in Europe
AI Product Owner Training Agenda
The AI Product Owner agenda is designed to help you learn how to apply Artificial Intelligence in Product Ownership in a practical and useful way from day one. Across the modules, you will see how to integrate AI into the Product Owner’s key responsibilities—discovery, backlog management, prioritization, and stakeholder alignment—using real examples and best practices, plus specific preparation for the official AI Product Owner certification.
M1--AI Product Owner Foundations and Mindset
M2--Understanding the Problem and Building a Value Proposition
Listen better (capture, summarize, and structure information)
Understand better (extract insights and real needs)
Empathize (personas, pains/gains, JTBD, and customer language)
M3--Product Stack and AI-Enhanced Backlog Management
M4--Adaptive Roadmapping, Discovery, and Value Delivery
M5--The Product Owner and Scrum Events with AI
Daily Scrum
Sprint Review
Sprint Retrospective
Refinement
M6--Decisions, Metrics, and Stakeholder Management
M7--Leadership, Ethics, and Certification
- Introduction and Learning Path
- Official AI Product Owner Guide (EuropeanScrum.org)
- Welcome and course structure (AI Product Owner)
- From Traditional Product Owner to AI Product Owner
- AI fundamentals for Product Owners (no technical background required)
M2--Understanding the Problem and Building a Value Proposition
- Understanding the problem and business context
- Product Owner soft skills enhanced with AI
Listen better (capture, summarize, and structure information)
Understand better (extract insights and real needs)
Empathize (personas, pains/gains, JTBD, and customer language)
- From idea to value proposition
M3--Product Stack and AI-Enhanced Backlog Management
- Designing and building the Product Stack with AI
- How to create a coherent product stack: vision, objectives, components, scope, and boundaries.
- Breaking down into Themes, Epics, and User Stories with AI
- Techniques to decompose work without losing value, improving clarity, consistency, and alignment with the goal.
- Prioritizing the Product Stack with AI
- Prioritization based on value, cost, risk, and learning (with AI support), avoiding bias and “gut-feel” prioritization.
M4--Adaptive Roadmapping, Discovery, and Value Delivery
- Adaptive roadmap with AI and stakeholder communication
- How to build a flexible roadmap, justify it with data, and communicate it clearly and consistently.
- Continuous discovery, MVPs, and MMPs
- How to accelerate discovery with AI: hypotheses, experiments, learning, validation, and focus on real value delivery.
M5--The Product Owner and Scrum Events with AI
- AI, the Product Owner, and Scrum Events
- How to use AI to prepare, facilitate, and improve decisions in key events:
Daily Scrum
Sprint Review
Sprint Retrospective
Refinement
M6--Decisions, Metrics, and Stakeholder Management
- Metrics and AI-supported decision-making
- Stakeholder communication and expectation management
M7--Leadership, Ethics, and Certification
- Leadership, influence, and conflict management
- Critical, ethical, and systems thinking
- How to obtain the AI Product Owner certification





