Course Details
In this one-day course, students engage in discussions and exercises to explore practical uses of AI tools and techniques to help them as a Scrum Master and to learn how to enable their Scrum Teams and organization to effectively use AI. The Professional Scrum Master – AI  Essentials (PSM – AI Essentials) course continues the journey into Scrum by diving deeper into:
- What AI means for Scrum Masters
- How Scrum Masters use AI to improve their capabilities and support the Scrum Team
- How AI can be applied by the members of a Scrum Team
- How AI influences the organization, including essential guidance on adopting AI responsibly and securely
Throughout this course, participants gain the skills and confidence to harness AI effectively, ensuring they enable high-performing Scrum Teams in an ever-evolving digital landscape. Ultimately, an effective Scrum Master should understand AI, its impact and how to apply it. This training prepares students with a greater understanding of AI and how it can be applied for use by Scrum Teams.
PROFESSIONAL SCRUM CERTIFICATION
All participants completing the Professional Scrum Master-AI Essentials course receive a password to take the  Professional Scrum Master Essentials (PSM-AI Essentials) certification exam. The industry-recognized PSM-AI Essentials certification requires a minimum passing score of 85%. Class participants of official Scrum.org classes who attempt the PSM-AI Essentials certification exam within 14 days of receiving their free password and do not score at least 85% will be granted a second attempt at no additional cost
Audience
This course is appropriate for Scrum Masters and Agile Coaches with a solid understanding of the Scrum framework and experience working on a Scrum Team in any industry, as they learn how to integrate AI into their roles. This includes:
- Scrum Masters
- Agile Coaches
- Agile leaders
- Team facilitators
- Other related professionals
This course is designed for professionals who want to work with AI tools in practice. It is not intended for those seeking advanced machine learning or data science content. Scrum Master training and certification is recommended.
Prerequisites
No prerequisites
Methodology
This program will be conducted with interactive lectures, PowerPoint presentations, group discussions, case studies, hands-on computer exercises and some games.
Course Objectives
Students will be able to apply core AI concepts and leverage generative AI through effective prompting to improve Scrum Team collaboration, support Scrum Events and ultimately strengthen their ability as a Scrum Master while responsibly and ethically embedding AI-informed behaviors into day-to-day work.
Outlines
The training opens by looking at why AI is becoming important in modern product development. Participants discuss how AI is already shaping the way teams work, from the tools they use to how they communicate and make decisions. This session sets the context for why Scrum Masters need to understand AI today.
The course explains important AI concepts in a clear and practical way. Instead of technical depth, the focus is on what these ideas mean for everyday work. Participants learn how systems learn from data, how AI identifies patterns, how generative AI creates content, and how goal-driven AI behaves. Equal attention is given to what AI can and cannot do.
Participants explore how AI can assist Scrum Masters in their responsibilities. This includes preparing for Scrum events, supporting teams with better insights, and helping the organisation improve ways of working. Real examples show how AI acts as a support tool while human judgment and collaboration remain central.
The training walks through each Scrum event using relatable situations. Participants see how AI can help refine sprint goals, highlight risks, improve daily scrum conversations, organize feedback for sprint reviews, and design more focused retrospectives. The emphasis stays on practical support rather than automation for its own sake.
Learners actively practice using generative AI tools. They work on writing clear instructions, improving AI responses, and checking whether outputs are useful and accurate. Repeated exercises help participants build confidence in using AI effectively within Scrum-related activities.
The course covers simple ways AI can support routine Scrum Master tasks. This includes drafting stakeholder updates, preparing for meetings, creating summaries, and documenting improvement actions. Participants learn how AI can blend into existing workflows without adding complexity.
Participants discuss the importance of using AI carefully and thoughtfully. Topics include protecting sensitive information, recognizing potential bias, and making fair, balanced decisions. The goal is to encourage smart usage rather than blind reliance on tools.
The training also addresses how Scrum Masters can guide teams and leaders when introducing AI. This involves encouraging experimentation, handling concerns, and setting clear boundaries for safe use. The course concludes by reinforcing the Scrum Master’s role as a facilitator of learning and positive change.
