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Path Steps

Follow these steps in order. Each one links to an EasyDNNnews article/video and gives you a quick, practical takeaway.

You’ll learn how to frame AI as a teammate that supports Scrum events and backlog work without replacing judgment or collaboration.
Do this exercise: Write a 3-sentence “AI usage policy” for your team (what you will use AI for, what you won’t, and what must be reviewed by a human).
You’ll learn repeatable prompt patterns to generate stories with clearer intent, constraints, and acceptance criteria.
Do this exercise: Take one messy request and prompt AI to produce (a) a user story, (b) 5 acceptance criteria, and (c) 3 key questions for the PO.
You’ll learn how to generate “plan options” (not commitments) and improve shared understanding of scope and dependencies.
Do this exercise: Ask AI for 2 sprint goal options based on your top backlog items, then pick one as a team and adjust wording together.
You’ll learn facilitation prompts that help teams extract insights, turn feedback into actions, and avoid “retro theatre.”
Do this exercise: Feed AI 5 bullet facts from the sprint and ask for (a) patterns, (b) 3 improvement experiments, and (c) 1 metric per experiment.
You’ll learn how to convert your best prompts and practices into a lightweight working agreement the team can actually follow.
Do this exercise: Create a “Prompt Library” page with 5 prompts: refinement, story writing, planning, review, retro—each with input/output examples.
 

Learning Path - Free

24 Feb 2026

Step 1: What AI Can (and Can’t) Do for Scrum Teams

AI is a productivity amplifier—not a Product Owner, not a Scrum Master, and not a Developer.

Used correctly, it accelerates learning, drafting, summarizing, and exploring options. Used poorly, it replaces thinking with automation theater.

This step helps your team position AI as a supporting teammate, not a decision-maker.

Author: Rod Claar
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24 Feb 2026

Step 2: Prompts That Produce Better User Stories

AI can help—but only if the prompt is structured.

This step introduces repeatable prompt patterns that improve:

  • Intent clarity

  • Constraints visibility

  • Acceptance criteria quality

  • PO alignment

Author: Rod Claar
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24 Feb 2026

Step 3: Backlog Refinement with AI (Without Losing the “Why”)

The Core Risk

When teams use AI in refinement, a common failure mode appears:

  • Stories get cleaner

  • Acceptance criteria get longer

  • Technical detail increases

  • Business intent becomes less visible

Scrum optimizes for value delivery, not documentation density.

AI must support the “why” behind the work.

Author: Rod Claar
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24 Feb 2026

Step 4: Sprint Planning Acceleration

The Key Principle

AI should propose:

  • Possible Sprint Goals

  • Possible scope groupings

  • Possible dependency flags

The team still decides:

  • What to commit to

  • What fits capacity

  • What aligns to product strategy

AI drafts.
The team commits.

Author: Rod Claar
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Learning Path - Member

 
 
✓ Featured Content

AI for Scrum and Agile Teams
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A curated playlist of specific YouTube content.

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1 Feb 2026

AI For Scrum Masters - March 2. 2026

Author: Rod Claar CST  /  Categories: AI for Scrum Masters  /  Rate this article:
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Event date: 3/2/2026 1:00 PM Export event

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Scrum Alliance Microcredential Live • Hands-on • 4 SEUs

AI for Scrum Masters: Transforming Team Performance with Artificial Intelligence

AI is rapidly transforming how Scrum Masters facilitate and lead agile teams. This course positions you to:

  • Automate repetitive tasks and focus on high-value facilitation
  • Become irreplaceable through AI-enhanced capabilities
  • Drive exceptional team outcomes with data-driven insights
  • Stay ahead of industry transformation trends
Effective Agile Development: AI for Scrum Masters with Trainer Rod Claar, CST

Course Snapshot

Transform Your Scrum Mastery with Artificial Intelligence

Duration: 4 hours (Half-day workshop)
Format: Live Interactive Training
Certification: Scrum Alliance Microcredential
SEUs: 4 Scrum Education Units


Group Training: Custom sessions available for teams of 5 or more

Course Overview

Join veteran Scrum Trainer Rod Claar, CST, for this transformative course that bridges decades of agile expertise with cutting-edge artificial intelligence capabilities. With over 50 years in technology and 20+ years teaching Scrum and Agile methodologies, Rod brings unique insights into how AI can revolutionize facilitation, team coaching, and servant leadership.

This course empowers Scrum Masters, Agile Coaches, and team facilitators to leverage GenAI and AI-integrated tools as powerful co-pilots in their daily work. Learn to streamline team management, enhance collaboration, predict risks, improve communication, and gain deeper insights into team dynamics through practical AI applications.

What You’ll Learn

Module 1: Everyday AI Tools for Scrum Masters

  • Explore practical AI applications for streamlining scrum ceremonies
  • Identify tools for generating meeting facilitation guides and action items
  • Master techniques for evaluating and editing AI-generated outputs
  • Learn time-saving workflows for team facilitation and coaching
This module was removed. See the new class: Get Started with AI Prompt Engineering

Module 2: Customizing AI for Your Team

  • Tailor AI tools to fit your team’s unique culture and needs
  • Enhance AI effectiveness across various agile frameworks (Scrum, Kanban, SAFe)
  • Align AI capabilities with your existing team processes
  • Build team-specific AI workflows that respect team autonomy

Module 3: AI-Powered Strategic Planning

  • Leverage AI for sprint planning and release planning support
  • Enhance capacity forecasting and velocity predictions
  • Improve impediment identification and resolution strategies
  • Develop AI-assisted improvement roadmaps

Module 4: AI-Powered Communication and Collaboration

  • Optimize team communication with AI-enhanced facilitation
  • Generate effective retrospective formats and questions
  • Improve stakeholder communication and reporting
  • Enhance team building and conflict resolution approaches

Module 5: Data-Driven Team Management

  • Utilize AI for team health assessment and monitoring
  • Generate insights from team metrics and performance data
  • Identify patterns in team dynamics and collaboration
  • Create visual dashboards for transparency and continuous improvement

Module 6: Ethical AI in Scrum Practice

  • Understand ethical considerations in AI usage within teams
  • Implement responsible AI practices that honor agile values
  • Address bias and fairness in AI applications
  • Ensure transparency and accountability in AI-assisted decisions
  • Balance AI efficiency with human-centered servant leadership

Who Should Attend

This course is ideal for:

  • Scrum Masters seeking to enhance their facilitation effectiveness
  • Agile Coaches looking to scale their impact across multiple teams
  • Project Managers transitioning to servant leadership roles
  • Team Leads working in agile environments
  • Product Owners wanting to better understand AI capabilities
  • Agile Teams interested in AI-enhanced collaboration
  • Holders of CSM®, A-CSM®, or CSP®-SM certifications

Expected Outcomes

  • Cleaner facilitation workflows
  • Better risk visibility
  • More effective stakeholder comms
  • Practical, ethical AI adoption

Your Instructor

Rod Claar, CST (Certified Scrum Trainer)

Experience & Teaching

  • 50+ years in technology, from retail systems to enterprise software
  • 20+ years teaching Scrum, Agile, TDD, ATDD, and Software Design Patterns
  • Pioneer in implementing Scrum at enterprise level
  • Founder of software training and consulting company

AI + Real-World Practice

  • Expert in AI integration for software development and agile practices
  • Real-world experience from startup to Fortune 500 companies
  • Practical, outcomes-focused approach to AI adoption

Teaching Philosophy

  • Hands-on, tool-driven learning
  • Immediate workplace application
  • Human-centered, servant-leader lens

Rod’s journey from lumber yards to leading-edge AI makes him uniquely qualified to help you understand not just the “what” but the “why” and “how” of AI in Scrum Mastery. His extensive experience in both implementing and teaching Scrum gives him profound insights into the challenges Scrum Masters face daily and how AI can address them.

Deliverables, Methodology, and Requirements

Course Deliverables

  • Scrum Alliance Microcredential in AI for Scrum Masters
  • 4 SEUs applicable toward certification renewal
  • Comprehensive course materials including prompt templates for common Scrum Master tasks
  • Personal AI toolkit customized for your team context
  • Library of AI-powered facilitation techniques and retrospective formats
  • Access to Rod’s curated AI resources and tool recommendations
  • Post-course support via dedicated Slack channel (30 days)
  • Certificate of completion from Effective Agile Development

Learning Methodology

  • Interactive demonstrations of AI tools in action with real Scrum scenarios
  • Hands-on exercises with immediate application to your teams
  • Real-world case studies from Rod’s extensive consulting experience
  • Collaborative learning through breakout sessions
  • Practical frameworks you can implement immediately
  • Test-driven learning principles applied to AI adoption
  • Safe space to explore concerns and challenges about AI in agile environments

Technical Requirements

  • Laptop or desktop computer with internet connection
  • Access to ChatGPT or similar AI tool (free tier acceptable)
  • Webcam and microphone for virtual sessions
  • No prior AI experience required
  • Willingness to experiment and learn collaboratively

Why Learn from Rod?

“After 50+ years in technology, I’ve seen many transformations, but AI represents the most significant shift in how we work since the personal computer. As Scrum Masters, your role as servant leaders and team champions is more important than ever. My goal is to help you navigate this change practically and ethically, leveraging AI to amplify your effectiveness while maintaining the human-centered, people-first values at the heart of Agile and Scrum.”

Delivery Notes

  • Limited to 12 participants for interaction and coaching
  • Breakouts + exercises are built-in (not lecture-only)
  • Bring real scenarios from your teams for practice

Next Step

Use the buttons below to register or ask a question. If you’re booking for a team, mention expected headcount and preferred dates.

Ready to Transform Your Scrum Mastery with AI?

Limited to 12 participants to ensure quality interaction and personalized attention.

This course is officially aligned with Scrum Alliance’s AI microcredential program. Upon successful completion, participants will receive their microcredential directly from Scrum Alliance.

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