Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
AI for Scrum: Improve Agile Delivery (2026)
12 students

AI for Scrum: Improve Agile Delivery (2026)

Use AI to speed up Scrum artifacts, improve facilitation, and reduce admin work—step by step.
Created byDavid Marti
Last updated 3/2026
English

What you'll learn

  • Use AI to improve all Scrum processes.
  • Build high-quality products using Scrum supported by AI.
  • Enhance the skills of the Scrum Master, Product Owner and Development Team with the help of AI.
  • Define the Product Backlog, Sprint Backlog and Increment in a more optimized way using AI.
  • Improve Scrum events (Sprint Planning, Daily Scrum, Sprint Review and Sprint Retrospective) through AI-powered tools and insights.
  • Build an excellent User Story Map with the support of AI.
  • Break down User Stories, Themes and Epics with greater accuracy using AI.
  • Better understand and define customer needs using AI within the Scrum framework.
  • Scale AI Scrum in your organization using scaling patterns (Nexus, LeSS, SAFe) and apply a realistic 90-day roadmap to transform culture and delivery.
  • Apply ethics, responsibility and regulatory frameworks such as the AI Act and GDPR in AI Scrum.

Course content

22 sections23 lectures2h 5m total length
  • Introduction - AI Scrum2:28

    In this introductory lesson, you will discover what AI Scrum truly means and why it represents the next evolution of Agile practices. We explore how Artificial Intelligence is transforming the way teams plan, build, collaborate and deliver value—without replacing the human essence of Scrum.


    You will understand the core idea behind AI Scrum: integrating AI as a powerful assistant that enhances decision-making, reduces complexity, accelerates learning, and increases the overall effectiveness of Scrum teams.


    This lesson sets the foundation for the entire course, giving you a clear picture of how AI and Scrum come together to create a smarter, more adaptive, and highly productive way of working.

Requirements

  • Basic understanding of Scrum (roles, events and artifacts).
  • General familiarity with project development, products or services.
  • No technical knowledge of programming or AI is required.

Description

Artificial Intelligence is no longer a future trend—it’s becoming a competitive advantage for teams that deliver products in complex and fast-changing environments. At the same time, Scrum remains one of the most widely adopted frameworks to manage uncertainty, align teams, and deliver value iteratively.

Applied AI for Scrum is a practical course designed to help you integrate AI into Scrum in a clear, structured, and responsible way—so you can improve planning, decision-making, delivery quality, and continuous improvement without losing agility.

Instead of focusing on a single tool, this course teaches AI-driven ways of working that can strengthen every part of Scrum.

What you will learn

You’ll learn how AI can support and improve:

1) Scrum Roles

  • How AI enhances the work of the Product Owner, Scrum Master, and Developers

  • Faster analysis, better preparation, improved facilitation, and clearer decision-making

2) Scrum Events

  • Practical ways to apply AI in Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective

  • Better alignment, earlier risk detection, more effective outcomes, and less waste

3) Scrum Artifacts

  • How AI improves key artifacts such as the Product Backlog, Sprint Backlog, Increment, and User Story Mapping

  • Higher-quality refinement, clearer priorities, and more consistent delivery

4) Sprints, MVPs, and Value Delivery

  • How AI helps define and validate Sprints, MVPs, and product hypotheses

  • How to reduce uncertainty and improve delivery execution

5) Responsible AI inside Scrum

  • How to apply AI with quality, ethics, safety, and responsibility

  • Common risks and anti-patterns to avoid when integrating AI in agile teams

6) Scaled Environments (Overview)

  • How AI can support coordination, visibility, and decision-making in scaled agile contexts (overview)

By the end of this course, you will be able to:

  • Apply AI to improve Scrum execution across roles, events, and artifacts

  • Strengthen backlog quality with better refinement, prioritization, and acceptance clarity

  • Improve the effectiveness of Scrum ceremonies with clearer data and better facilitation support

  • Make more informed decisions and reduce delivery surprises using AI-driven approaches

  • Adopt AI responsibly and avoid common misuses inside teams and organizations

Additional supporting materials provided :

  • AI Scrum Guide

  • AI Scrum Visual Summary

  • 5 Generative AI Prompts

  • A list of more than 30 AI tools that can be used in practice.

Included Prompts:

  • Prompt – Artificial Intelligence Applied to Scrum

  • Prompt – Scrum Team Characteristics with AI

  • Prompt – Product Backlog Prioritization with AI.

  • Prompt – Defining Scrum Events with AI

  • Prompt– Continuous Discovery y Definición de MVP

  • Prompt – Metrics, Analytics & Product Decisions

  • Prompt – Defining Sprints, MVPs and MMPs with AI

Who this course is for

  • Product Owners, Scrum Masters, and Agile Coaches who want to integrate AI into Scrum

  • Product, innovation, and delivery professionals working in agile environments

  • Tech and business professionals who want to build a competitive profile combining Agile + AI

  • Students and future professionals seeking a practical, in-demand specialization

What you’ll learn

  • Apply AI to improve Scrum across roles, events, and artifacts

  • Improve backlog quality: refinement, prioritization, and clarity of delivery outcomes

  • Enhance Sprint Planning, Daily, Review, and Retro with AI-supported decision-making

  • Reduce uncertainty and improve delivery execution across sprints and MVP iterations

  • Adopt AI responsibly with quality, ethics, and practical risk controls

Requirements

  • Basic understanding of Scrum fundamentals (roles, events, artifacts)

  • No AI or data science background required (everything is explained from a Scrum practitioner perspective)

  • Willingness to apply ideas to your own team/product scenarios

Who this course is for:

  • Professionals who want to learn how to think, define and implement a product or service using AI and Scrum.
  • People interested in the future of agility and digital transformation who want to develop standout skills in an increasingly automated market.
  • Product leaders, Project Managers and innovation managers looking to accelerate value delivery through AI-enhanced practices.
  • Technology and business professionals who want to understand how AI can improve prioritization, decision-making and operational efficiency.
  • Product Owners, Scrum Masters, and Agile Coaches who want to integrate Artificial Intelligence into their teams and Scrum processes.