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Learning Path

AI for Scrum Masters

Built for Scrum Masters (and Agile leaders) who want practical, ethical ways to use AI to improve facilitation, transparency, and delivery outcomes.

  • Run stronger Scrum Events using ready-to-use prompts for planning, refinement, review, and retrospectives—without losing the human element.

  • Improve forecasting and delivery predictability by using AI to surface risks, trends, and actionable insights from team signals.

  • Apply clear guardrails for responsible use—privacy, integrity, and bias awareness—so AI helps your team without creating new problems.

Learning Path AI for Scrum Masters 5–10 steps

Path Steps: AI-for-ScrumMasters

Work through these steps in order. Each step links to a specific EasyDNNnews article/video and gives you a quick exercise to turn the idea into a repeatable Scrum Master habit.

1
Step 1: Set up your AI “Scrum Master Copilot”

You’ll learn how to create a simple prompt kit that makes your facilitation consistent, fast, and trustworthy.

Do this exercise

Create a “Scrum Event Brief” prompt that takes context + agenda + desired outcomes and returns a facilitation plan.

3
Step 3: Sprint planning that reduces over-commitment

You’ll learn a lightweight way to use AI to surface risk, dependencies, and hidden work before the Sprint starts.

Do this exercise

Paste a draft Sprint Goal + top items and ask AI: “What could cause us to miss this goal and what mitigations help?”

4
Step 4: Daily Scrum prompts that unblock faster

You’ll learn how to use short, consistent prompts to identify blockers, clarify next steps, and protect the Sprint Goal.

Do this exercise

After the Daily, summarize “top 3 risks + next 3 actions” using AI, then ask the team to validate it in 60 seconds.

5
Step 5: Metrics, forecasting, and “what’s really going on”

You’ll learn how to use AI to interpret trends (cycle time, throughput, predictability) and generate plain-English insights.

Do this exercise

Give AI your last 3 sprints’ delivered work + spillover, then ask: “What pattern do you see and what experiment would improve it?”

6
Step 6: Retrospectives that produce better experiments

You’ll learn how to use AI to detect themes, propose root-cause questions, and craft experiments with crisp success signals.

Do this exercise

Paste retro notes (anonymized) and ask AI for 3 experiment options; pick one with a measurable success signal for next sprint.

7
Step 7: Guardrails, ethics, and “safe AI” team habits

You’ll learn practical guardrails for privacy, bias, and accuracy—so AI helps the team without creating risk.

Do this exercise

Write a 6-bullet “AI Working Agreement” for the team (what’s allowed, what’s not, and what must be reviewed by humans).

Learning Path - Free

24 Feb 2026

Step 1: Set Up Your AI “Scrum Master Copilot"

The goal is simple:

Create a reusable prompt that turns context + agenda + desired outcomes into a clear, structured facilitation plan.

This reduces variability, increases consistency, and improves trust in your facilitation.

You are building a repeatable system, not a one-off prompt.

Author: Rod Claar
0 Comments
Article rating: No rating

24 Feb 2026

Step 2: Backlog Refinement with AI (Without Losing Collaboration)

The objective is to use AI to:

  • Clarify intent

  • Improve acceptance criteria

  • Suggest smarter vertical slices

  • Reduce cognitive load before discussion

The collaboration still belongs to the team.

AI proposes.
The team decides.

Author: Rod Claar
0 Comments
Article rating: No rating

24 Feb 2026

Step 3: Sprint Planning That Reduces Over-Commitment

Over-commitment rarely comes from optimism alone.

It usually comes from:

  • Hidden dependencies

  • Unseen complexity

  • Ambiguous acceptance criteria

  • Capacity blind spots

  • Integration risk

AI can help surface these before commitment — without replacing team judgment.

The principle: interrogate the plan before you promise it.

Author: Rod Claar
0 Comments
Article rating: No rating
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Learning Path - Members

 
 
✓ Featured Content

ScrumMaster Videos

A curated playlist of specific YouTube content.

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20 Jan 2026

Effective Scrum Developer

Author: SuperUser Account  /  Categories: Scrum & Agile Training  /  Rate this article:
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Event date: 1/20/2026 - 1/21/2026 Export event

This course is aimed at helping software development professionals and teams be more effective when implementing Scrum and other agile software development methodologies. In an effort to raise the effectiveness of Scrum, the Scrum Alliance has created the Certified Scrum Developer program. This course is designed to deliver the core Agile Development Practices Learning Objectives of that program.

Audience

This course is intended for professional software developers who are on a Scrum team and want to understand how Scrum and agile engineering practices are applied and how they affect their role in the team. The participant should have an understanding of Scrum preferably from taking our Certified ScrumMaster Workshop or a similar course.

The Approach

One of the agile practices commonly used by Scrum teams is the breakdown of requirements into User Stories. This course was designed to meet this user story:

As a Developer on a Scrum team, I want to use Agile Engineering Practices, so that my team delivers business value with Production Quality Software in every Sprint.

To meet this goal this course meets the Scrum Alliance Learning Objectives for the Certified Scrum Developer Program in these areas:

Collaboration

The teamwork and collaboration on a Scrum team

Architecture and Design

The principles that drive code quality and support quick delivery of business value from testable, understandable and correct code.

Test Driven Development

Using the practice of Test First to help ensure the requirements are well understood and automated tests can be added to the build process to validate the system in the future.

Refactoring

The process of improving the design of software to increase the understandability and testability of the code and allow for easy and safe additions to the system in the future.

Continuous Integration

The process of creating and running automated build and test cycles as new code is checked in so that cross-application issues are discovered as soon as possible.

Course Outline

The course is structured around these user stories that provide the goals for each section:

The Developer Role In Scrum

As a Developer I want to understand my role on a Scrum Team So that the team is successful in meeting Sprint and Release goals.

Test First

As a Developer I want to clearly understand the story So that I can deliver the right functionality.

Writing Unit Tests 

As a developer I want to write effective Unit Tests So that I will know when the code is done.

Agile Analysis for Developers

As a Developer I want quickly and accurately break down requirements So that the work of delivering the business value can be planned effectively.

What is Quality Code?

As a Developer I want to write high quality code and be able to evaluate code quality So that the project is not slowed down in the future by poor quality code.

Scrum Teamwork

As a Developer I want to work collaboratively and efficiently with the other members of my Scrum team So that the Sprint and Release Goals are achieved.

Test Driven Development

As a Developer I want to write small tests then write the code to pass the tests and clean up the code So that I can work quickly and efficiently.

Agile Architecture

As a Developer I want to create software components that are maintainable and efficient So that the product will have a long life and adapt to new requirements easily.

Talking About Design

As a Developer I want to have a common language to use when discussing application design with other developers So that we can quickly and accurately describe the system design.

Refactoring

As a Developer I want to clean up my new code safely So that the new code is flexible and easy to understand.

Automated Refactoring

As a Developer I want to use automatic tools to Refactor So that I can concentrate on delivering the functionality.

Integrating Often

As a Developer I want to verify that my code works in the system and does not break the system as often as possible So that issues are discovered quickly and the project is almost always in a state that can be demonstrated.

Continuous Integration

As a Developer I want use a build system that automatically builds the system and runs all automated tests So that integrating often is as easy as possible.

Class Price$899.00
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Go deeper with the course

Step-by-step instruction, templates, and guided practice to help you apply AI across Scrum events, metrics, forecasting, and team coaching—without losing the human collaboration that makes Scrum work.

Tip: If you’re rolling this out to a team, start with the free lessons for quick wins, then use the course to standardize prompts, guardrails, and facilitation patterns across the organization.