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Product Ownership in the AI era – with confidence, judgment, and practical AI skills.
Product Owners are not being replaced by AI. But their way of working is changing.
The fundamentals still matter: you need to understand users, make value-based decisions, shape a clear backlog, and help the team focus on the right outcomes. What is changing is how fast you can explore input, create options, refine backlog items, communicate with stakeholders, and use data to decide. But being AI-enabled is not only about working faster – it is about making time for the Product Owner’s work that often gets skipped: exploring needs and value thoroughly, testing assumptions and ideas earlier, and analysing user feedback.
In this two-day interactive online course, you practise Product Ownership as it is increasingly done – with AI woven into discovery, backlog work, refinement, communication, and decisions – while human judgment stays in the lead. One simple pattern runs through everything:
Bring product input -> give AI the right context -> get a draft or analysis -> review it as a Product Owner -> make a product decision -> create a team-ready output.
You apply this to real work: summarising user feedback, drafting a product brief, creating or improving a user story, writing acceptance criteria, preparing a stakeholder update, or finding patterns in support tickets and survey answers.
Scrum, basic Kanban and Product Owner foundations are covered in guided pre-work before the course, so newcomers arrive prepared and experienced participants get more live time for applied AI practice. You leave with reusable AI-enabled workflows, a practical prompt and template toolkit, and a certification case that shows that you can apply AI responsibly to Product Owner work.
Arrive prepared. Practise on real PO work. Leave AI-enabled.
Who this is for:
This course is for people in and around the Product Owner role who want to use AI confidently and responsibly in real product work – Product Owners, Business Analysts, Project Managers, Team Leads, Team Coaches, and product team members.
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- New to the role? The guided pre-work introduces the most important Scrum, Kanban and Product Owner concepts before Day 1. You do not need to become an expert first – just to arrive ready for the applied exercises.
- Already experienced? You run the exercises at a deeper level, applying AI to your own product context to sharpen your current practices.
It works best if you already work with products, projects, teams, requirements, business needs or stakeholder communication. You do not need AI expertise or coding skills. Basic experience with an AI assistant such as ChatGPT, Gemini, Claude or Copilot is helpful but not required.
What you´ll learn
By the end of the course you will be able to:
- Explain the Product Owner role, and relate it to Scrum and Kanban
- Give AI the right context and use prompt patterns for Product Owner tasks
- Explore user needs and value with AI, using techniques such as personas, customer journey mapping and opportunity canvas
- Break down features and user stories, and draft lightweight product briefs, acceptance criteria and test cases with AI
- Design an AI-enabled backlog refinement workflow for your own team
- Use AI for vision, prioritisation and stakeholder communication
- Use AI to summarise product input, find patterns in feedback and data, and make better product decisions.
- Use AI responsibly in Product Owner work, with awareness of the EU AI Act.
What you´ll walk away with
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- An AI-enabled Product Owner workflow – a simple, repeatable way to move from product input to decision to team-ready output, with AI supporting the work and the Product Owner staying responsible.
- A reusable toolkit – prompts, templates and examples for common activities: exploration, feedback synthesis, product briefs, backlog refinement, user stories, and stakeholder communication.
- A practical certification case – based on your own product context where possible, started in the certification lab and completed within 30 days.
You can earn the AI-enabled Product Owner certification from BestBrains Academy – proof that you can apply AI to real Product Owner work, based on both your knowledge about Product Ownership and an applied AI case you choose yourself.
Course structure
The live days focus on applied practice. Foundations and supporting tools are handled through pre-work and the toolkit, so the course stays practical and focused.
Pre-work (self-paced, ~3-4h) – guided foundation in Scrum, basic Kanban and agile Product Ownership, plus the multiple-choice knowledge exam that counts toward your certificate. Strongly recommended before Day 1.
Day 1 – From user needs to backlog-ready work. Moving from messy product input to clearer Product Owner work: prompt patterns and context engineering, exploring user needs and value, summarising feedback and input, and drafting product briefs, user stories and acceptance criteria with AI – then reviewing that output before it becomes team work. Typical outputs: a discovery or feedback summary, a product decision, a backlog-ready item with acceptance criteria,
Between the days (~30-60 min) – you apply AI to one piece of your own product input (a feature idea, customer quote, support ticket, interview notes, survey answers, usage data, or a backlog item), turning it into a clearer decision, backlog item or stakeholder message. The output is shared in a simple format so Day 2 starts from real examples.
Day 2 – Refining, communicating and deciding. How AI supports work with teams and stakeholders: designing an AI-enabled refinement workflow, using AI around tools such as Jira or Azure DevOps while keeping the process human-led, vision and prioritisation, stakeholder communication, and turning feedback and data into decisions. Includes responsible AI use, the EU AI Act’s AI literacy requirement, the changing PO role, and certification prep.Typical outputs: a refinement workflow for your team, a stakeholder update, a data-to-decision example, a certification case outline.
Certification lab (online, after the course, 1.5h) – a 30-minute Scrum and Kanban recap, a walkthrough of the exam case requirements and rubric with example submissions, and time to start your own case and ask questions.
Certification
Certification is included and central to the course. It combines two parts.
- Knowledge exam – a multiple-choice exam covering agile Product Ownership fundamentals: Scrum basics, basic Kanban, Product Owner accountability, backlog work, planning and refinement, and value focus. Preferably completed as part of the pre-work.
- Applied AI-enabled case – you apply AI to real Product Owner work across the product cycle and document the product context, the input you started from, the prompts and context you gave AI, the output you received, how you reviewed and improved it, the decision you made, where AI helped, where your own judgment changed or rejected the AI output, and how you handled responsible AI and data safety.
The case is assessed against a clear rubric. The review is structured and supportive – you are not asked to present or defend your case live in front of the group. It includes peer review with instructor moderation, an 80% passing score, a 30-day submission deadline, and a resubmission option if needed. You start it with guidance in the certification lab, so you are never left to complete it alone.
Your time commitment
- Pre-work: ~3-4 hours, self-paced (foundation material, knowledge exam)
- Live course: 2 days, 09:00-15:00
- Between-day task: ~30-60 minutes on your own product or a fallback case
- Certification lab: 1.5 hours (30-min recap plus case launch)
- Certification case: ~3-4 hours, completed within 30 days
Logistics
- Course Dates: Tuesday September 29th and Thursday October 1st 2026, 09:00-15:00 (Wednesday September 30th is used for own-context work)
- Certification lab: Monday October 5th 2026, 14:30-16:00
- Format: Online
- Price: kr. 7,000.00 (indicative; VAT additional; EU delegates may recover VAT depending on circumstances)
- Language: English (if any participants prefer this) or Danish. Course and Certification material is in English.
PRACTICAL INFO
- Date: Tuesday, September 29 - Thursday, October 1 2026
- Time: 09:00 - 15:00
- Price: kr.7.000,00
- If you register for a class be aware that VAT will be added to the price above. EU delegates may recover the VAT depending on their circumstances.
Cancellation Policy
- If you need to cancel more than 30 days before the course, feel free to find someone to take your place. If you can't find a substitute within this time frame, we’ll refund all but 1500 DKK to cover our administrative costs.
- If you cancel within 30 days before the workshop, we can't provide a refund. However, you may find a substitute.
- No matter when you need to cancel, if you find a substitute, please let us know ASAP who that person is. It's up to you to take care of payment arrangements with that person.
- Registrants who are no shows, are not eligible for a refund and must pay the full course fee.
- BestBrains reserves the right to cancel courses 7 business days prior to the scheduled date; in this case, our liability is limited to a full refund of the session fee.
Jesper Thaning has been helping organizations adopting Lean and Agile methods for the last 20 years.
The experience covers the whole journey from idea to running code through conceptualization, prioritization, refinement, development, test, continuous integration and deployment. Jesper has trained and coached a large number of teams and organizations on how to apply Lean and Agile principles and methodologies like Scrum, Kanban and SAFe® to their specific situation. He has focused a lot on the collaboration between business and IT-development – helping organizations to benefit from Lean and Agile methods through effective product ownership.
Jesper Thaning
Agile trainer and advisor, SAFe Program Consultant (SPC), Partner in BestBrains Academy