Scrum Certification with AI

Instructor: LearnQuest Network

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

3 modules

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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There are 3 modules in 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.

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

9 videos Total 18 minutes

Welcome to AI-Powered Scrum 2 minutes
Foundations of Scrum with AI 2 minutes
What is Agile and Scrum? 0 minutes
Agile Manifesto Values and AI Context 5 minutes
Introduction to AI in Scrum 2 minutes
Scrum Roles (Scrum Master, Product Owner, Team) 3 minutes
The Sprint and Scrum Events 1 minute
Automating Scrum Event Documentation with AI 2 minutes
Ready to Champion Agile Transformation? 1 minute

3 readings Total 15 minutes

Action Story: When AI Threatens to Derail the Standup 5 minutes
AI in Scrum (Jira/Confluence Example) 5 minutes
Automating Documentation with AI (Confluence Example) 5 minutes

2 assignments Total 36 minutes

Define Agile and Map AI to Scrum Events 10 minutes
Foundations of Scrum with AI - Exam 26 minutes

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

7 videos Total 19 minutes

AI in Core Scrum Practices 1 minute
User Stories and Backlog Refinement 6 minutes
Velocity and Sprint Planning 2 minutes
AI-Powered Sprint Planning & Backlog Prioritization 1 minute
Daily Standups and Team Swarming 2 minutes
Retrospectives & Continuous Improvement 5 minutes
Enhance Daily Standups & Retrospectives with AI New item: 1 minute

3 readings Total 20 minutes

Action Story: When Sprint Planning Risks a Blind Commitment 5 minutes
Prioritization (Jira Example) 10 minutes
Enhance with AI (Jira/Miro Example) 5 minutes

2 assignments Total 32 minutes

Use AI to Prepare Sprint Backlogs 6 minutes
Apply AI to Backlog and Team Events - Exam 26 minutes

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

8 videos Total 17 minutes

Scaling, Risk, and Ethics of AI in Scrum 2 minutes
Scaling Agile: Team-of-Teams 3 minutes
Managing Risks with ROAM 4 minutes
Predictive Analytics and Risk Management with AI 1 minute
Starting the Scrum Journey 3 minutes
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 readings Total 20 minutes

Action Story: When Delivery Dates Start Slipping 5 minutes
Risk Management with AI (Jira/Plandek Example) 5 minutes
Ethical Use of AI in Scrum (Confluence Example 5 minutes
Personalizing AI Tools (Jira Example) 5 minutes

3 assignments Total 36 minutes

Apply AI to Forecast Risk and Delivery 10 minutes
Personalize AI for Your Scrum Team 6 minutes
Scaling, Risk, and Ethics of AI in Scrum 20 minutes

Instructor

LearnQuest Network

LearnQuest

201 Courses 965,730 learners

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LearnQuest

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