Official AI Scrum Certification Program

AI Scrum Training
Master AI for Scrum

Learn how to integrate Artificial Intelligence into Scrum teams and organizations to improve collaboration, productivity, transparency, and value delivery. Apply AI in a practical way across Scrum roles, events, and artifacts—from Product Backlog refinement and Sprint Planning to Reviews and Retrospectives—to build higher-value products and services with faster, smarter decision-making.
  • E-learning platform
  • 1 year of access (24/7)
  • Everything included
Available packs
  • 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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We are Europe’s experts in AI and Scrum

Description (EN)
AI ScrumArtificial Intelligence is transforming how Scrum teams plan, collaborate, build products, and make decisions. In a context of constant change, combining AI and Scrum is no longer optional—it is a critical capability to improve value delivery, product clarity, quality, and team transparency.

AI Scrum: AI Applied to Scrum is a training program designed to help you understand and apply AI inside Scrum environments with a practical, responsible, and results-oriented approach. You will learn how to integrate AI into the daily work of the Product Owner, Scrum Master, and Developers, strengthening backlog management, refinement, Sprint Planning, decision-making, and continuous improvement.
Throughout the course, you will discover how to apply AI across the essential elements of Scrum: roles, events, and artifacts. You will learn how to improve user stories and acceptance criteria, detect risks and dependencies, prepare and facilitate Scrum events, synthesize stakeholder feedback, analyze metrics, and make Retrospectives more actionable.

The goal is clear: to build Scrum teams that are faster, smarter, and more value-driven—without losing the human judgment and collaboration that make Scrum 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 Scrum, how to craft effective prompts, how to validate outcomes, and how to integrate AI ethically and sustainably into real team workflows.

In addition, this training is part of the official EuropeanScrum certification program, and it prepares you to pursue the AI Scrum Foundation certification, which validates your mastery of AI applied to Scrum.

By the end of the course, you will be able to
  • Understand the essential fundamentals of Artificial Intelligence and how it applies to Scrum.
  • Apply AI to improve Product Backlog management, refinement, and user story definition.
  • Integrate AI into Scrum events (Planning, Daily, Review, Retrospective, and Refinement) to enhance clarity and decision-making.
  • Identify real opportunities for improvement, automation, and innovation within Scrum teams without breaking the framework.
  • Develop an AI Scrum mindset focused on people, ethics, and professional responsibility.

Who is this for?
  • Product Owners, Scrum Masters, Agile Coaches, and team leaders working with Scrum.
  • Executives, consultants, and business professionals involved in Scrum-based products or initiatives.
  • Entrepreneurs and innovation leaders who want to accelerate delivery and learning using Scrum + AI.
  • Students and professionals seeking a solid foundation in AI applied to Scrum.

Requirements
No prior knowledge is required—only an interest in learning how to apply AI to improve productivity, collaboration, and decision-making in Scrum environments.

Official certification
After completing the training, you can pursue the AI Scrum Foundation certification, issued by EuropeanScrum, which validates your knowledge of AI applied to Scrum and adds a high-value professional credential to your profile.

What does the training include?

​✔︎ Training Pack – €99

  • 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 Scrum certification.
  • Two exam vouchers for the AI Scrum 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 Scrum training in Europe

Top companies across industries have chosen us for training and certification.
Trusted by more than 10,000 certified professionals.
Real-world experience across sectors and countries.

Trusted by Leading Companies

AI Scrum Foundation Certification

With this training, you can earn the official AI Scrum  certification to validate your knowledge of applying AI to Scrum.

AI Scrum Training Agenda

The AI Scrum agenda is designed to help you learn how to apply Artificial Intelligence in Scrum in a practical and useful way from day one. Across the modules, you will see how to integrate AI into roles, events, and artifacts, with real examples and best practices, plus specific preparation for the official certification.
 M1--AI Scrum Foundations and Mindset
  • Introduction and Learning Path
           What you will learn, how the training works, overall structure, exercises, and how to get the most out of it.
  • Official AI Scrum Guide (EuropeanScrum.org)
           Key principles, the official reference framework, best practices, and the AI Scrum mindset throughout the program.
  • What is AI Scrum?
           How Artificial Intelligence and Scrum reinforce each other to improve value delivery, coordination, focus, transparency, and             
           continuous improvement.
  • AI fundamentals for professionals (no technical background required)
           Generative AI, LLMs, real capabilities, limitations, risks, bias, privacy, and criteria to validate outcomes.
  • AI applied to Scrum in real environments
           Practical use cases: team productivity, work clarity, product decisions, information analysis, and responsible automation.

M2--AI Applied to the Scrum Team and Roles
  • Scrum Team with AI (overall view)
           How AI enhances collaboration, alignment, communication, distributed work, and team decision-making.
  • Scrum Master with AI
           Improved facilitation, event preparation, impediment detection, coaching, team dynamics analysis, and continuous improvement.
  • Product Owner with AI
           Needs discovery, smart prioritization, refinement, data-informed validation, feedback synthesis, and value management.
  • Developers with AI
           Support for requirements analysis, quality, documentation, testing, automation, estimation support, and workflow efficiency.


M3--AI Applied to Scrum Artifacts and Work
  • AI applied to Scrum artifacts
           Using AI to improve consistency, clarity, and traceability across:
           Product Backlog
           Sprint Backlog
           Increment
  • Definition of Done with AI (DoD)
           How to strengthen a realistic, measurable, quality-oriented DoD, including automated criteria and AI-assisted controls.
  • Quality enhanced with AI
           Best practices to increase product quality and reduce rework using AI (prevention, early detection, and validation support).

M4--AI Applied to Scrum Events
  • Sprint Planning with AI
           Support for Sprint Goals, work decomposition, alternative options, risks, and capacity/estimation.
  • Daily Scrum with AI
           Improving daily focus, identifying blockers, coordinating the plan, and quickly summarizing Sprint status.
  • Sprint Review with AI
           Session preparation, feedback synthesis, opportunity identification, and backlog updates based on data.
  • Sprint Retrospective with AI
           Pattern analysis, root-cause discovery, actionable proposals, commitment tracking, and evidence-based continuous improvement.
  • Refinement with AI
           Turning ideas into a clear backlog, well-formed user stories, strong acceptance criteria, and reduced ambiguity.

M5--Continuous Delivery, Metrics, and Reporting with AI
  • Continuous delivery and automation with AI in Scrum
           How to use AI to accelerate delivery cycles without losing control, reinforcing consistency, quality, and efficiency.
  • Smart metrics and indicators with AI
           Selecting and interpreting useful metrics, avoiding “vanity metrics,” and improving decisions with real information.
  • Charts and reporting with AI in Scrum
          Automated creation and intelligent interpretation of:
          Sprint Burndown Chart
          Product Burndown Chart

M6--Scaling, Patterns, and Best Practices
  • Scaling Scrum with AI support (SAFe, LeSS, Nexus, etc.)
           How to apply AI for coordination, visibility, dependency management, and alignment across multiple teams.
  • Best practices and usage patterns for AI in Scrum
           Effective prompts, templates, recommended workflows, validation checklists, and common pitfalls to avoid.
  • AI-optimized Sprints, MVPs, and MMPs
           How to use AI to reduce uncertainty, accelerate learning, and focus delivery on real value.

M7--Ethics, Certification, and Final Preparation
  • Ethics with AI in Scrum
           Responsible use: privacy, bias, traceability, intellectual property, and the limits of automation in teams.
  • AI Scrum Foundation Certificate
           What it validates, which competencies it proves, and its professional value within the official program.
  • AI Agile Online Simulator (exam support)
           Practical training with certification-style questions to ensure solid preparation.
  • How to obtain the AI Scrum Foundation certification
           Steps, study recommendations, exam strategy, and program wrap-up.