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⇱ Scrum Certification with AI | Coursera

Scrum Certification with AI

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Scrum Certification with AI

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Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain how AI augments Scrum events without breaking Agile values. Apply AI to backlog refinement, sprint planning, and retrospectives.

Details to know

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Assessments

7 assignments¹

AI Graded see disclaimer
Taught in English

There are 3 modules in this course

Agile and Scrum remain essential frameworks for modern teamwork, but artificial intelligence is reshaping how teams plan, adapt, and deliver. Introduction to AI in Scrum prepares you to apply AI tools directly within Scrum events and artifacts, without breaking the principles of Agile.

You will learn how to enhance standups, retrospectives, and backlog refinement with AI-powered insights. You will practice using AI responsibly by adopting guardrails for data, ethics, and human oversight. You will also explore how predictive analytics can make risks visible earlier, giving your team more options for action. By the end of this course, you will be able to explain how AI fits into Scrum, discuss specific AI use cases in backlog management and sprint planning, and describe how to tailor AI tools to your team’s workflow. You will leave with practical prompts, examples, and methods you can use immediately in your workplace.

This module builds a foundation by revisiting Agile and Scrum principles and mapping AI directly to Scrum events. You will explore how AI can support standups, backlog refinement, and retrospectives, while ensuring that Scrum values and cadence remain the guardrails.

What's included

9 videos3 readings2 assignments

9 videos•Total 18 minutes
  • Welcome to AI-Powered Scrum•2 minutes
  • Foundations of Scrum with AI•2 minutes
  • What is Agile and Scrum?•0 minutes
  • Agile Manifesto Values and AI Context•5 minutes
  • Introduction to AI in Scrum•2 minutes
  • Scrum Roles (Scrum Master, Product Owner, Team)•3 minutes
  • The Sprint and Scrum Events•1 minute
  • Automating Scrum Event Documentation with AI•2 minutes
  • Ready to Champion Agile Transformation?•1 minute
3 readings•Total 15 minutes
  • Action Story: When AI Threatens to Derail the Standup•5 minutes
  • AI in Scrum (Jira/Confluence Example)•5 minutes
  • Automating Documentation with AI (Confluence Example)•5 minutes
2 assignments•Total 36 minutes
  • Define Agile and Map AI to Scrum Events•10 minutes
  • Foundations of Scrum with AI - Exam•26 minutes

This module focuses on sprint planning, backlog prioritization, daily standups, and retrospectives. You will see how AI can estimate effort, rank backlog items, and surface blockers. You will also practice using AI to highlight recurring patterns in retrospectives and keep standups sharp and actionable.

What's included

7 videos3 readings2 assignments

7 videos•Total 19 minutes
  • AI in Core Scrum Practices•1 minute
  • User Stories and Backlog Refinement•6 minutes
  • Velocity and Sprint Planning•2 minutes
  • AI-Powered Sprint Planning & Backlog Prioritization•1 minute
  • Daily Standups and Team Swarming•2 minutes
  • Retrospectives & Continuous Improvement•5 minutes
  • Enhance Daily Standups & Retrospectives with AI New item:•1 minute
3 readings•Total 20 minutes
  • Action Story: When Sprint Planning Risks a Blind Commitment•5 minutes
  • Prioritization (Jira Example)•10 minutes
  • Enhance with AI (Jira/Miro Example)•5 minutes
2 assignments•Total 32 minutes
  • Use AI to Prepare Sprint Backlogs•6 minutes
  • Apply AI to Backlog and Team Events - Exam•26 minutes

This module prepares you to apply AI responsibly in complex environments. You will use AI to forecast delivery risks, surface dependencies, and manage uncertainty. You will also learn how to establish ethical guardrails and personalize AI prompts and automations so that your team adopts AI as a trusted, tailored tool.

What's included

8 videos4 readings3 assignments

8 videos•Total 17 minutes
  • Scaling, Risk, and Ethics of AI in Scrum•2 minutes
  • Scaling Agile: Team-of-Teams•3 minutes
  • Managing Risks with ROAM•4 minutes
  • Predictive Analytics and Risk Management with AI•1 minute
  • Starting the Scrum Journey•3 minutes
  • Ethical Use of AI in Scrum•1 minute
  • Personalizing AI Tools for Your Scrum Team•1 minute
  • Next Steps for Scrum Master Certification and AI•1 minute
4 readings•Total 20 minutes
  • Action Story: When Delivery Dates Start Slipping•5 minutes
  • Risk Management with AI (Jira/Plandek Example)•5 minutes
  • Ethical Use of AI in Scrum (Confluence Example•5 minutes
  • Personalizing AI Tools (Jira Example)•5 minutes
3 assignments•Total 36 minutes
  • Apply AI to Forecast Risk and Delivery•10 minutes
  • Personalize AI for Your Scrum Team•6 minutes
  • Scaling, Risk, and Ethics of AI in Scrum•20 minutes

Instructor

LearnQuest
207 Courses•999,733 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.