About 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
What You'll Learn
- Explain how AI augments Scrum events without breaking Agile values
- Apply AI to backlog refinement, sprint planning, and retrospectives
- Adopt responsible AI practices considering ethics and human oversight
- Use predictive analytics to identify risks early and improve decision-making
Prerequisites
- Basic computer and internet skills
- Ability to read course instructions in English and complete short practice activities
Instructors
LearnQuest Network