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.

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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
- Agile Project Management
- Scrum (Software Development)
- Forecasting
- Data Ethics
- Responsible AI
- Sprint Planning
- Agile Methodology
- Generative AI
- Team Performance Management
- AI Personalization
- AI Product Strategy
- Artificial Intelligence
- Prompt Engineering
- Predictive Analytics
- Sprint Retrospectives
- Scaled Agile Framework
- Agile Product Development
- Meeting Facilitation
- Agile Software Development
- Backlogs
Details to know

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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 assignments3 plugins
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 assignments2 plugins
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 assignments2 plugins
Instructor

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