Certificate

AI Essentials for Scrum Masters

  • May 30 (09:00 - 17:00) - Live Virtual (Confirmed)

Course Overview


This comprehensive course is designed to equip Scrum Masters with essential AI knowledge and skills to enhance their role in supporting Scrum Teams and organizations in the age of artificial intelligence. Participants will gain a deep understanding of how AI technologies can be integrated into Scrum practices to drive innovation, improve efficiency, and deliver greater value. The course combines theoretical knowledge with practical applications, allowing Scrum Masters to immediately apply AI concepts to their daily work. Through hands-on exercises, case studies, and interactive discussions, attendees will learn to navigate the challenges and opportunities presented by AI in Agile environments, positioning themselves as key drivers of AI-enabled transformation within their organizations.

Prerequisites
• Professional Scrum Master I (PSM I) certification or equivalent experience
• Basic understanding of Agile and Scrum principles

Certification


Upon completion of the course and passing the assessment, participants will receive the “AI Essentials for Scrum Masters” certification.

Assessment Details
• Format: Multiple choice, multiple answer, and true/false questions
• Passing score: 85%
• Language: English

Why Choose This Course


This course bridges the gap between traditional Scrum Master skills and the emerging field of AI, preparing Scrum Masters to lead their teams effectively in AI-driven environments.

Tickets & Enrollment

Early-bird Ticket (Until 20 May 2025)
495 EUR
Regular Ticket (21-30 May 2025)
595 EUR
Upcoming classes

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AI Essentials for Scrum Masters
May 30, 2025
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Learning Objectives

  • Learn & Leverage AI Capabilities
  • Elevate your Scrum Team’s Effectiveness
  • Shine as a Leading Irreplaceable Scrum Master

Course Audience

Scrum Masters / Agile Coaches

The main focus of the class is on Scrum Masters, Agile/Scrum Coaches, and consultants looking to learn and leverage AI capabilities.

Anyone involved in product delivery

Product Owners, Leaders, Business Analysts, Testers, etc. can certainly benefit from the same concepts to uplift their AI knowledge and shine.

Why should you attend?

AI is no longer “on the horizon,” but has fully arrived and is, quite likely, here to stay. If you as a Scrum Master don’t adapt yourself to this new technology, you will be left behind quite soon.

Scrum Masters should elevate their AI knowledge to stay relevant and effective. By understanding AI, they can better support agile teams through enhanced decision-making, predictive analytics, and automation of repetitive tasks.

AI tools enable Scrum Masters to identify patterns in team performance, streamline workflows, and foster data-driven retrospectives.

More than that you want to stand out, shine, and showcase your new capability.

So, become an irreplaceable Scrum Master by learning and leveraging AI capabilities.

Course Outline

Session 1: AI basics that Scrum Masters should know

•What is AI?

•AI vs. Generative AI

•How Generative AI works

•LLM (Large Language Model) for text generation

•Diffusion Model for image generation

Use case: Explain the Scrum Master role to your colleagues and managers

Session 2: Understand LLM Capabilities

Writing

•Brainstorming Partner

•Translation

•Writing software code

Reading

•Proofreading

•Summarizing long text & articles

•Categorization (like reputation monitoring)

Chatting

•Specialized Chatbots (like Taking order, Getting advice, Customer service, …)

Use case: Creating a Definition of Done(DoD)

Session 3: AI Possibilities for the Scrum Master accountability

•Task breakdown analysis model

•Augmentation vs. Automation

•Augmentation cases

•Automation cases

Use case: Facilitating a meeting

Use case: Creating Product Backlog

Session 4: Two main categories of AI applications

Web interface-based applications

•ChatGPT, Google Gemini, Microsoft Copilot, DeepSeek

Software-based applications

•Email routing, Document search, Sentiment analysis, …

LLM constraints

•Input & Output constraint

•Hallucination

•Knowledge cut-offs

•Bias & Toxicity

Use case: Feedback management in the Sprint Review

Session 5: Prompt Engineering for Scrum Masters & Advanced Technologies

•What is prompting?

•Writing effective prompts

•RAG (Retrieval Augmented Generation)

•Fine-tuning

•Pretraining an LLM

Use case: Team performance analysis based on metrics

Use case: Creating Sprint Goal

Session 6: Creating Sprint Goal & Increasing the Scrum Team awareness about AI capabilities

Use case: Creating Sprint Report

Use case: Creating compelling content about how AI can elevate the Scrum way of working

•Closing

Class Delivery Way

Zoom

This class is a live virtual class run on Zoom. Two days before the class you will receive a Zoom link through email.

Miro

It is an interactive class. So, we use Miro, a digital collaboration board, for class exercises.

Team expertise

Team videos

Explain your Scrum Master role to your colleagues
An example of leveraging AI-generated video
AI Impact on the Scrum Master Job
Will Scrum Masters lose their job in the age of AI?!
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Class Characteristics

  • 1 day (8 hours)
  • Discovery-based learning
  • Fully interactive
  • Live virtual
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AI Essentials for Scrum Masters

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