AI for Scrum Masters Training
Course 5204
1 DAY COURSE

This course is designed for scrum masters, project managers, product managers, and agile team members who are ready to work more efficiently by integrating AI into their teams. Discover how to seamlessly add AI to your team. AI can function as an agile co-pilot, operating effortlessly alongside team members to increase productivity, save time, and differentiate you as an AI-capable professional.

This course helps you earn the Scrum Alliance AI for Scrum Masters Microcredential.

AI for Scrum Masters Training Benefits

• Course Benefits

  • Focused expertise — gain specialized knowledge in a specific area
  • Relevant — topics prioritized to cover industry trends and emerging technologies
  • Expedient — earn a credential in hours as opposed to weeks, months, or years

• Prerequisites

  • Official Prerequisites: Scrum Alliance does not require any official pre-requisites to attend this course.   
  • Pre-Course Knowledge: In order to get the most out of your experience, Learning Tree recommends familiarity with the Scrum Master role at the level of Certified ScrumMaster® (CSM) Training or Scrum Product Owner Training.

• Certification Information

  No exam is required to earn this microcredential.

AI for Scrum Masters Course Outline

Learning Objectives

Required Pre-Course Preparation

• Review the pre-course communication from Learning Tree to understand how to access all of your course materials.
• Ensure you have access to your My Learning Tree portals before the start of class. Reach out to Learning Tree customer service if you are having trouble.

Module 1: Everyday AI Tools for Scrum Masters

• Describe AI tools to enhance scrum events.
• Identify how to use different tools to generate meeting notes, enhance team communication and collaboration, and facilitate retrospectives.
• Evaluate AI-generated output and edit results to refine prompts to yield desired AI outputs.

Module 2: Prompt Engineering: The Key to Effective AI Interactions

• Identify the principles of effective prompt engineering.
• Design clear, specific AI prompts to achieve tasks.

Module 3: Customizing AI for Your Team

• Identify how to upload and use custom data to fine-tune and personalize AI.
• Identify best practices for fine-tuning AI tools for your scrum workflows.
• Describe how AI tools impact other frameworks such as Kanban, Lean, and XP.

Module 4: AI-Powered Strategic Planning

• Identify how to use AI for brainstorming, idea generation, and scenario modeling.
• Describe how to use AI data analysis and prediction to inform strategic choices.
• Identify how to use tools to explore long-term trends and their potential impact on projects.

Module 5: AI-Powered Communication and Collaboration

• Identify AI tools and techniques to streamline communication within the scrum team and with stakeholders.
• Describe how to utilize AI for effective meeting management, facilitation, and real-time brainstorming.
• Identify how to use AI to enhance transparency and information sharing.
• Identify how to use AI-driven insights to improve team collaboration and communication effectiveness.

Module 6: Data-Driven Team Management

• Identify AI-supported metrics for team health and performance.
• Use AI for team sentiment analysis and potential conflict resolution.
• Identify ways to tailor AI models to your team’s specific dynamics.

Module 7: Ethical AI in Scrum Practice

• Define data bias.
• Develop a framework for evaluating ethical AI usage.

Module 8: Learning Lab: Prompt Engineering for Scrum Masters

• Use prompt engineering and historical sprint data for story-pointing and capacity planning.
• Develop prompts that effectively instruct AI models to summarize key discussion points, action items, and decisions made during the sprint retrospective meeting into concise meeting minutes.
• Develop prompts that effectively instruct AI models to analyze data from various sources (e.g., task completion times, velocity charts, team surveys) to generate insights into team performance, identify roadblocks, and predict potential risks.