
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.
AI Scrum Guide Overview
This guide explains how Artificial Intelligence can be integrated into Scrum teams to improve decision-making, productivity, and product development.
You can download it.
This visual summary provides an overview of how AI integrates with Scrum, highlighting key roles, artifacts, events, and governance considerations within the AI Scrum framework.
You can download it
In this lesson, you will learn the fundamental concept of AI Scrum and how it represents a major step forward in the evolution of Agile practices. We explore how Artificial Intelligence can enhance the Scrum framework—improving decision-making, increasing team productivity, reducing uncertainty and elevating the overall quality of the product.
You will understand how AI becomes a powerful assistant for Scrum Masters, Product Owners and Development Teams, helping them refine backlogs, plan smarter sprints, analyze risks, optimize events and continuously deliver higher value.
By the end of this lesson, you will have a clear and practical understanding of what AI Scrum is, why it matters, and how it can transform the way modern teams work.
In this section, you will find a downloadable prompt designed to help you explore how Artificial Intelligence can be applied within Scrum. It will guide you in analyzing opportunities to use AI to support roles, events, artifacts, and decision-making in Agile teams.
In this lesson, we explore how Artificial Intelligence enhances the responsibilities, skills and daily practices of each role within the Scrum framework. You will learn how AI supports the Scrum Master, Product Owner and Development Team in becoming more effective, more data-informed and more focused on delivering value.
We examine how AI tools can remove complexity, automate repetitive work, improve communication, strengthen decision-making and unlock new levels of productivity across the team. You will also see real examples of how AI elevates collaboration and transforms the way each role contributes to the success of the product.
By the end of this lesson, you will clearly understand how each Scrum role benefits from AI—and how to use AI as a strategic assistant to build smarter, faster and more efficient Scrum teams.
In this section, you will find a downloadable prompt designed to help you use Artificial Intelligence to define and analyze the characteristics of the Scrum Team. It will help you understand its composition, responsibilities, strengths, and opportunities for improvement.
In this lesson, you will discover how Artificial Intelligence enhances the creation, refinement and management of Scrum Artifacts. We explore how AI can support teams in building a clearer, more precise and more valuable Product Backlog, Sprint Backlog and Increment.
You will learn how AI helps identify dependencies, improve prioritization, detect risks, estimate work more accurately and maintain artifacts that remain aligned with customer needs and business goals.
We also examine how AI strengthens transparency by generating insights, visualizations and recommendations that make the artifacts easier to understand and manage.
By the end of this lesson, you will know how to leverage AI to optimize the quality, clarity and accuracy of all Scrum Artifacts, transforming them into powerful tools for delivering value faster and more effectively.
This prompt helps Product Owners use AI to evaluate and prioritize backlog items more
effectively. It supports decision-making by considering factors such as business value,
customer impact, effort, risk, and dependencies. Instead of prioritizing based only on
opinion or urgency, the prompt encourages a more structured and data-informed
approach.
You can download the prompt.
In this lesson, you will explore how Artificial Intelligence enhances each Scrum Event, transforming the way teams plan, collaborate and inspect their work. We examine how AI improves the effectiveness of Sprint Planning, Daily Scrum, Sprint Review and Sprint Retrospective, providing smarter insights and reducing uncertainty.
You will learn how AI helps teams create better Sprint goals, refine tasks more accurately, identify risks earlier, track progress in real time and generate deeper reflections on team performance. Through practical examples, you will see how AI supports facilitation, strengthens decision-making and increases the overall discipline and focus of each event.
By the end of this lesson, you will understand how to use AI to elevate every Scrum Event, making them more productive, more data-driven and more aligned with customer and business outcomes.
In this section, you will find a downloadable prompt designed to help you use Artificial Intelligence to define and improve Scrum events. You will learn how to understand the purpose of each event, identify best practices, and detect opportunities for improvement in their facilitation.
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