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Hands-on Workshop

Ready to Transform Your Scrum Team with AI?

Join the Generative AI for Scrum Teams Workshop

Stop wondering how AI fits into your Agile workflow. In this hands-on workshop, you'll learn exactly how to integrate AI tools into every sprint ceremony, backlog refinement session, and delivery cycle—without disrupting the Scrum framework that already works for your team.

What You'll Master:

  • AI-powered user story creation and refinement techniques
  • Automated test generation and code review strategies
  • Sprint planning acceleration with AI assistance
  • Real-world prompt engineering for development teams
  • Ethical AI integration within Scrum values

Perfect for: Scrum Masters, Product Owners, Development Teams, and Agile Coaches who want to boost productivity while maintaining team collaboration and quality.

Taught by Rod Claar, Certified Scrum Trainer with 30+ years of development experience and specialized AI-Enhanced Scrum methodology.

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Event date: 5/11/2026 3:00 PM - 5:00 PM Export event
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Rod Claar

Picking a Model for Your Team and Product May 11, 2026.

Learn how to select the right Agile model to fit your team’s context, product, and constraints.

May 11, 2026 | 3:00 PM – 5:00 PM PST

Course Overview

Selecting the right development model is critical to delivering value effectively. This interactive live session examines common Agile and hybrid approaches and helps you determine which model best aligns with your team’s structure, product type, stakeholder expectations, and organizational constraints.

Participants will explore the trade-offs between frameworks such as Scrum, Kanban, and hybrid implementations, learning how to evaluate complexity, uncertainty, regulatory needs, and team maturity before committing to an approach.

Key Learning Objectives

  • Assess your product and team context to determine appropriate delivery models
  • Compare Scrum, Kanban, and hybrid approaches with clarity
  • Identify risk, uncertainty, and compliance factors influencing model choice
  • Align stakeholder expectations with delivery structure
  • Apply decision criteria to avoid “one-size-fits-all” thinking
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