Empower Scrum Masters and Agile teams with practical AI skills to improve collaboration, facilitation, and team performance.
This interactive 1-day course explores how AI can enhance the Scrum Master’s role, support Scrum Team collaboration, and improve the effectiveness of Scrum events. Participants learn key AI concepts, practical generative AI applications, prompt engineering, and ways to integrate AI into daily work while promoting responsible and secure adoption across organizations.
- Why get trained: Learn to apply AI tools across Scrum events, improve facilitation and collaboration, strengthen prompt engineering skills, and integrate AI into everyday Scrum practices.
- Why it matters: Improve team effectiveness, streamline workflows, support better decision-making, and help organizations adopt AI responsibly and securely.
- Who should attend: Scrum Masters, Agile Coaches, Agile Leaders, Team Facilitators, and Related Professionals working with Scrum Teams.
Participants gain practical experience through discussions, hands-on exercises, and real-world AI use cases. A solid understanding of Scrum and experience working on a Scrum Team are recommended. HRD Corp Claimable.
Overview
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 organizations 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 Scrum teams can effectively utilize it.
Skills Covered
- Explain key AI concepts, including machine learning, deep learning, generative AI, and agentic AI
- Describe how AI supports effective Scrum Team facilitation and collaboration
- Discuss how AI tools can enhance the Scrum Master’s accountability through real-world use cases
- Demonstrate practical uses of generative AI tools to support the Scrum Team and Scrum events
- Demonstrate effective AI prompt engineering to get the desired results
- Integrate AI tools in day-to-day work
- Implement AI-informed behaviors in day-to-day work
- Apply ethical and responsible practices when adopting and working with AI
Prerequisites
No AI background required. The training explains AI concepts in a simple and practical way. You do not need coding, data science, or machine learning knowledge.
Target 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.
Module 1: Understanding AI in the World of Scrum
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.
Module 2: Getting Comfortable with Key AI Ideas
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.
Module 3: AI and the Scrum Master’s Role
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.
Module 4: Using AI Across Scrum Events
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.
Module 5: Hands-On Experience with Generative AI
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.
Module 6: Bringing AI into Daily Work
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.
Module 7: Responsible Use of AI
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.
Module 8: Supporting Safe Adoption within Organizations
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.
Dates & Locations
January 13, 2027 - January 13, 2027
January 13, 2027 - January 13, 2027
February 25, 2027 - February 25, 2027
February 25, 2027 - February 25, 2027
March 24, 2027 - March 24, 2027
March 24, 2027 - March 24, 2027
April 21, 2027 - April 21, 2027
April 21, 2027 - April 21, 2027
May 12, 2027 - May 12, 2027
May 12, 2027 - May 12, 2027
June 16, 2027 - June 16, 2027
June 16, 2027 - June 16, 2027
July 14, 2027 - July 14, 2027
July 14, 2027 - July 14, 2027
August 11, 2027 - August 11, 2027
August 11, 2027 - August 11, 2027
September 15, 2027 - September 15, 2027
September 15, 2027 - September 15, 2027
October 13, 2027 - October 13, 2027
October 13, 2027 - October 13, 2027
November 17, 2027 - November 17, 2027
November 17, 2027 - November 17, 2027
December 15, 2027 - December 15, 2027
December 15, 2027 - December 15, 2027
Exam & Certification
Upon completion of the training, participants will receive a FREE attempt at the Professional Scrum Product Owner™ – AI Essentials (PSPO-AI Essentials) certification exam. The certification requires a minimum passing score of 85%. If a participant attempts the assessment within 14 days of receiving the assessment password and does not achieve the passing score, they will receive a second attempt at no additional cost.
Training & Certification Guide
Frequently Asked Questions
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All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631
