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.
Scrum Certification with AI
Scrum Certification with AI
Instructor: LearnQuest Network
Access provided by IT Education Association
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.
Skills you'll gain
- Data Ethics
- Agile Software Development
- Backlogs
- AI Personalization
- Sprint Retrospectives
- AI Workflows
- Agile Product Development
- Predictive Analytics
- Generative AI
- Sprint Planning
- Risking
- Scaled Agile Framework
- Scrum (Software Development)
- Responsible AI
- Artificial Intelligence
- Agile Project Management
- Agile Methodology
- Prompt Engineering
- AI Product Strategy
- AI Enablement
- Skills section collapsed. Showing 11 of 20 skills.
Details to know
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Taught in English
Recently updated!
September 2025
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There are 3 modules in this course
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
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
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
Instructor
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