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.
Automating Scrum Event Documentation with AI•2 Minuten
Ready to Champion Agile Transformation?•1 Minute
3 Lektüren•Insgesamt 15 Minuten
Action Story: When AI Threatens to Derail the Standup•5 Minuten
AI in Scrum (Jira/Confluence Example)•5 Minuten
Automating Documentation with AI (Confluence Example)•5 Minuten
2 Aufgaben•Insgesamt 36 Minuten
Foundations of Scrum with AI - Exam•26 Minuten
Define Agile and Map AI to Scrum Events•10 Minuten
AI in Core Scrum Practices
Modul 2•1 Stunde abzuschließen
Moduldetails
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.
Enhance Daily Standups & Retrospectives with AI New item:•1 Minute
3 Lektüren•Insgesamt 20 Minuten
Action Story: When Sprint Planning Risks a Blind Commitment•5 Minuten
Prioritization (Jira Example)•10 Minuten
Enhance with AI (Jira/Miro Example)•5 Minuten
2 Aufgaben•Insgesamt 32 Minuten
Apply AI to Backlog and Team Events - Exam•26 Minuten
Use AI to Prepare Sprint Backlogs•6 Minuten
Scaling, Risk, and Ethics of AI in Scrum
Modul 3•1 Stunde abzuschließen
Moduldetails
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.
Das ist alles enthalten
8 Videos4 Lektüren3 Aufgaben
Infos zu Modulinhalt anzeigen
8 Videos•Insgesamt 17 Minuten
Scaling, Risk, and Ethics of AI in Scrum•2 Minuten
Scaling Agile: Team-of-Teams•3 Minuten
Managing Risks with ROAM•4 Minuten
Predictive Analytics and Risk Management with AI•1 Minute
Starting the Scrum Journey•3 Minuten
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 Lektüren•Insgesamt 20 Minuten
Action Story: When Delivery Dates Start Slipping•5 Minuten
Risk Management with AI (Jira/Plandek Example)•5 Minuten
Ethical Use of AI in Scrum (Confluence Example•5 Minuten
Personalizing AI Tools (Jira Example)•5 Minuten
3 Aufgaben•Insgesamt 36 Minuten
Scaling, Risk, and Ethics of AI in Scrum•20 Minuten
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Finanzielle Unterstützung verfügbar, weitere Informationen
¹ Einige Aufgaben in diesem Kurs werden mit AI bewertet. Für diese Aufgaben werden Ihre Daten in Übereinstimmung mit Datenschutzhinweis von Courseraverwendet.