Scrum Alliance AI for Scrum Masters Micro-credential

Overview

This course empowers Scrum Masters and agile practitioners to leverage AI tools and techniques to improve team facilitation, decision making, and delivery efficiency. Through interactive sessions, participants will explore prompt engineering, data analysis, AI driven planning, and ethical considerations. The programme culminates in earning a lifetime digital micro credential from Scrum Alliance.

Prerequisites

There are no formal prerequisites are required for this course. Familiarity with Scrum practices and agile mindsets recommended for deeper application.

Target audience

This course is designed for:

• Scrum Masters and agile coaches
• Project and product managers working in agile teams
• Delivery team members interested in AI augmented practices
• Agile leaders seeking to enhance team performance with AI

Objectives

By the end of this course, learners will be able to:

• Understand how AI can support Scrum events and team collaboration
• Apply prompt engineering to generate meaningful outputs during agile ceremonies
• Use AI driven data analysis for forecasting and team health metrics
• Facilitate retrospectives and strategic planning using AI insights
• Explore ethical considerations and appropriate AI tool selection
• Select and integrate AI platforms (e.g., ChatGPT, Copilot) into Scrum workflows

Outline

Introduction to AI in Scrum

• importance of AI in enhancing team facilitation and outcomes
• overview of AI augmented Scrum practices

Prompt engineering fundamentals

• principles of effective prompt creation
• hands on prompt crafting for Scrum events

AI enhanced ceremonies and planning

• leveraging AI in daily standups, sprint planning, and retrospectives
• using AI to surface risks, impediments, and action items

AI driven data analysis & forecasting

• analysing sprint metrics and team health indicators
• enabling empirical forecasting and adaptive planning

Brainstorming and ideation with AI

• using AI for collaborative ideation sessions and problem solving
• facilitating cross team brainwriting and creative workshops

Ethical considerations & tool selection

• addressing bias, privacy and security in AI use
• evaluating and selecting AI tools appropriate for agile teams

Integration and adoption strategies

• embedding AI into existing Scrum workflows
• change management strategies for adoption
• measuring impact and refining AI enabled practices

Exams and assessments

There are no formal exams for this micro credential. Participants demonstrate competence through hands on exercises, group work, and real‑time AI use during sessions.

Hands-on learning

• Live, instructor led interactive training
• Scenario based labs using real AI tools
• Group retrospectives, workshops, and prompt refinement exercises