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Generative AI for Agile and Scrum Teams by Pearson

Generative AI for Agile and Scrum Teams by Pearson

2h 28mIntermediate2026-02-23

Authors

Pearson

Pearson

Course details

Generative AI is a powerful new technology that helps teams work faster and smarter by automating repetitive tasks, generating useful insights, and improving decision-making outcomes. In the world of agile and scrum—where teams must quickly plan, collaborate, and adapt—AI can help you handle tasks like organizing priorities, summarizing meetings, predicting project timelines, and even identifying risks before they become problems. This is a game-changer because businesses today need to move faster while maintaining quality, and AI helps teams do just that. This course is an ideal fit for scrum masters, product owners, project managers, and agile team leaders.

Learning objectives
Build an AI-enhanced agile workflow that automates and streamlines key scrum activities.
Deploy AI-powered tools for backlog management, sprint planning, and team communication.
Leverage AI for real-time insights, velocity forecasting, and risk assessment.
Perform AI-driven scenario planning to enhance adaptability and continuous improvement.

Concepts

Introduction

  • AI for agile and scrum teams

Learn the Basics

  • Learning objectives
  • Understand generative AI in agile and scrum
  • Understand the role of generative AI in enhancing scrum practices
  • Explore generative AI-powered tools for agile teams

Discover Generative AI-Driven Scrum Artifacts and Documentation

  • Learning objectives
  • Use generative AI to generate and refine product backlogs
  • Automate sprint planning with generative AI-assisted documentation
  • Enhance sprint reviews with generative AI-powered reports

Use Generative AI for Agile Communication and Collaboration

  • Learning objectives
  • Leverage generative AI for stand-up summaries and scrum notes
  • Automate meeting transcripts and retrospective insights
  • Enhance team collaboration with generative AI-powered chatbots

Leverage Generative AI-Enhanced Creativity for Agile Innovation

  • Learning objectives
  • Brainstorm product backlog items with generative AI
  • Perform generative AI-driven story mapping and sprint goal refinement
  • Generate agile road maps and release planning

Use Generative AI for Agile Metrics and Continuous Improvement

  • Learning objectives
  • Automate sprint progress tracking and dashboards
  • Use generative AI-powered velocity forecasting and sprint planning
  • Improve burndown and burnup chart analysis with generative AI

Use Generative AI for Agile Risk Management and Adaptation

  • Learning objectives
  • Perform generative AI-assisted risk assessment in scrum projects
  • Conduct generative AI-driven scenario planning for agile teams
  • Use generative AI to identify and address bottlenecks in sprints

Conclusion

  • Summary and next steps

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