Scrum Certification with AI

Overview

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.

Syllabus

Foundations of Scrum with AI

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.

AI in Core Scrum Practices

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.

Scaling, Risk, and Ethics of AI in Scrum

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.