3 godzin(y) temu -
[center]![[Obrazek: _6352e76af0212da3b0649d8c15f467db.png]](https://i126.fastpic.org/big/2026/0205/db/_6352e76af0212da3b0649d8c15f467db.png)
Ai Product Owner - Build Better Products With Ia (2026)
Published 2/2026
Created by David Marti
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 17 Lectures ( 4h 14m ) | Size: 5 GB[/center]
From idea to launch: AI for product, Scrum & MVPs - EuropeanScrum Certificate
What you'll learn
✓ Define and lead better products or services with AI.
✓ Enhance the Product Owner's leadership role with AI.
✓ Apply AI in the Product Owner's daily work to define, prioritize, and validate hypotheses with data.
✓ Improve the Product Backlog, Story Mapping, and Increment with AI.
✓ Optimize the product backlog with AI: themes, epics, and user stories; story mapping and increment/DoD definition.
✓ Build more optimized epics and user stories with AI.
✓ Design and launch MVPs/MMPs with AI (including GenAI), from problem to value proposition.
✓ Integrate AI into Scrum: refinement, planning, review, and metrics, collaborating with stakeholders and data teams.
✓ Improve Scrum events with AI (Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospective).
✓ Apply governance, ethics, AI legality, and sustainability in AI-developed products.
Requirements
● No previous experience in Artificial Intelligence is required.
● No technical or programming knowledge is required.
● It is recommended to have basic knowledge of Product Management, Product Owner roles, or agile methodologies (Scrum).
● You only need curiosity about AI and a desire to apply new tools to product development.
Description
Course Description
This course contains the use of artificial intelligence.
Artificial intelligence is already changing the way products are created. But this is not just about "using ChatGPT." A Product Owner needs to know when to apply AI, what problem to solve, how to measure value, and how to turn ideas into real outcomes-without losing focus on the customer, the business, and quality.
In this course, you will learn how to integrate AI (including Generative AI) into the daily work of a Product Owner to improve discovery, define a strong value proposition, build and prioritize the backlog, create an adaptive roadmap, and make data-informed decisions. Everything is presented with a clear, practical, results-oriented approach, without unnecessary technical complexity.
Certification Preparation
This course is designed to help you prepare for the EuropeanScrum AI Product Owner certification. Certification is optional and can be pursued separately after completing the course.
AI-Enhanced Learning Experience
This training has been designed using AI to enhance the learning experience, including improvements in audio quality, audiovisual content, and instructional design. This course actively uses AI as part of its creation and delivery.
What you will achieve
By the end of this course, you will be able to
• Understand the AI fundamentals a Product Owner needs (without programming).
• Translate real business problems into use cases, objectives, and success criteria.
• Apply AI to research, synthesize insights, and validate hypotheses faster.
• Design a clear, actionable product backlog (themes, epics, and stories).
• Prioritize effectively using value, impact, risk, and learning.
• Define MVPs/MMPs, experiments, and validation strategies to reduce uncertainty.
• Build a strong product narrative using metrics, storytelling, and expectation management.
• Strengthen your judgment through critical, ethical, and systems thinking.
Who this course is for
■ People interested in digital product development and agile management.
■ Product Owners and Product Managers who want to incorporate Artificial Intelligence into their daily work.
■ Product professionals who want to improve decision-making, prioritization, and delivery through AI.
■ Scrum Masters and members of agile teams interested in applying AI within frameworks such as Scrum.
■ Professionals who want to evolve their role toward an AI Product Owner profile with a practical, hands-on approach.
![[Obrazek: _6352e76af0212da3b0649d8c15f467db.png]](https://i126.fastpic.org/big/2026/0205/db/_6352e76af0212da3b0649d8c15f467db.png)
Ai Product Owner - Build Better Products With Ia (2026)
Published 2/2026
Created by David Marti
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 17 Lectures ( 4h 14m ) | Size: 5 GB[/center]
From idea to launch: AI for product, Scrum & MVPs - EuropeanScrum Certificate
What you'll learn
✓ Define and lead better products or services with AI.
✓ Enhance the Product Owner's leadership role with AI.
✓ Apply AI in the Product Owner's daily work to define, prioritize, and validate hypotheses with data.
✓ Improve the Product Backlog, Story Mapping, and Increment with AI.
✓ Optimize the product backlog with AI: themes, epics, and user stories; story mapping and increment/DoD definition.
✓ Build more optimized epics and user stories with AI.
✓ Design and launch MVPs/MMPs with AI (including GenAI), from problem to value proposition.
✓ Integrate AI into Scrum: refinement, planning, review, and metrics, collaborating with stakeholders and data teams.
✓ Improve Scrum events with AI (Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospective).
✓ Apply governance, ethics, AI legality, and sustainability in AI-developed products.
Requirements
● No previous experience in Artificial Intelligence is required.
● No technical or programming knowledge is required.
● It is recommended to have basic knowledge of Product Management, Product Owner roles, or agile methodologies (Scrum).
● You only need curiosity about AI and a desire to apply new tools to product development.
Description
Course Description
This course contains the use of artificial intelligence.
Artificial intelligence is already changing the way products are created. But this is not just about "using ChatGPT." A Product Owner needs to know when to apply AI, what problem to solve, how to measure value, and how to turn ideas into real outcomes-without losing focus on the customer, the business, and quality.
In this course, you will learn how to integrate AI (including Generative AI) into the daily work of a Product Owner to improve discovery, define a strong value proposition, build and prioritize the backlog, create an adaptive roadmap, and make data-informed decisions. Everything is presented with a clear, practical, results-oriented approach, without unnecessary technical complexity.
Certification Preparation
This course is designed to help you prepare for the EuropeanScrum AI Product Owner certification. Certification is optional and can be pursued separately after completing the course.
AI-Enhanced Learning Experience
This training has been designed using AI to enhance the learning experience, including improvements in audio quality, audiovisual content, and instructional design. This course actively uses AI as part of its creation and delivery.
What you will achieve
By the end of this course, you will be able to
• Understand the AI fundamentals a Product Owner needs (without programming).
• Translate real business problems into use cases, objectives, and success criteria.
• Apply AI to research, synthesize insights, and validate hypotheses faster.
• Design a clear, actionable product backlog (themes, epics, and stories).
• Prioritize effectively using value, impact, risk, and learning.
• Define MVPs/MMPs, experiments, and validation strategies to reduce uncertainty.
• Build a strong product narrative using metrics, storytelling, and expectation management.
• Strengthen your judgment through critical, ethical, and systems thinking.
Who this course is for
■ People interested in digital product development and agile management.
■ Product Owners and Product Managers who want to incorporate Artificial Intelligence into their daily work.
■ Product professionals who want to improve decision-making, prioritization, and delivery through AI.
■ Scrum Masters and members of agile teams interested in applying AI within frameworks such as Scrum.
■ Professionals who want to evolve their role toward an AI Product Owner profile with a practical, hands-on approach.
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