Professional Scrum Master - AI Essentials
Live Virtual Class, March 15, 2026
Class Overview
Professional Scrum Master – AI Essentials (PSM-AI Essentials) course is created for Scrum Masters and Agile practitioners who want to work confidently with Artificial Intelligence in real delivery environments. Product development teams already rely on AI-powered tools for analysis, communication, automation, and insight generation. Scrum Masters play a central role in guiding teams through adoption, use, and responsible application of such tools.
This course builds a clear bridge between Scrum accountabilities and practical AI usage. The learning experience stays grounded in everyday Scrum Master work such as facilitation, coaching, stakeholder collaboration, and organisational improvement. Participants explore how AI supports these responsibilities without reducing the importance of human judgement, ethics, and transparency.
The course places strong emphasis on hands-on learning. Discussions, group exercises, and guided practice help learners understand how AI fits into Sprint events, team collaboration, and continuous improvement activities. The course content avoids technical depth that belongs to data science and instead concentrates on applied usage that Scrum Masters can use immediately.
Professional Scrum Master – AI Essentials also includes a free attempt at the globally recognised Professional Scrum Master AI Essentials certification assessment. The certification validates practical understanding of AI concepts and their application within Scrum roles.
This training suits professionals who want to stay relevant, support high-performing Scrum Teams, and guide organisations through responsible AI adoption. The Scrum Master of the future understands AI as a capability that supports people, teams, and outcomes. This course prepares learners for that responsibility with clarity and confidence.
Course Curriculum
Professional Scrum Master – AI Essentials follows a structured curriculum that builds understanding step by step and connects AI usage directly to Scrum Master responsibilities.
Introduction to AI in Scrum contexts
The course begins with a discussion on why AI has become relevant for product delivery and Agile ways of working. Participants explore how AI already influences tools, communication, and decision support within teams.
Core AI concepts for practitioners
Key AI concepts are explained from a practical user perspective.
- Machine learning and how systems learn from data
- Deep learning and pattern recognition
- Generative AI and content creation
- Agentic AI and goal-driven behaviour
The focus stays on understanding capabilities and limitations rather than technical design.
AI and Scrum Master accountabilities
Participants examine how AI supports the Scrum Master accountabilities.
- Facilitating Scrum events with better preparation
- Coaching individuals and teams using AI-supported insights
- Serving the organisation by enabling learning and improvement
Examples show how AI strengthens effectiveness without reducing human interaction.
AI in Scrum Events
Each Scrum event is explored through practical scenarios.
- Sprint Planning support through goal refinement and risk analysis
- Daily Scrum insights that improve focus and clarity
- Sprint Review preparation with structured feedback and summaries
- Retrospective design using data patterns and reflective prompts
Practical generative AI usage
Learners practise working with generative AI tools.
- Writing clear and effective prompts
- Refining outputs to match Scrum needs
- Evaluating relevance and accuracy of AI responses
Exercises help participants build skill through repetition and feedback.
Integrating AI into daily Scrum Master work
The curriculum covers everyday usage scenarios.
- Stakeholder communication support
- Meeting preparation and follow-ups
- Continuous improvement documentation
Learners explore how AI fits naturally into existing routines.
Ethical and responsible AI adoption
Strong emphasis remains on responsible usage.
- Data privacy awareness
- Bias and fairness considerations
- Organisational security expectations
Participants discuss how to guide teams and leaders safely.
Organisational influence and change support
The course closes by exploring how Scrum Masters act as AI advocates.
- Supporting team adoption
- Addressing concerns and resistance
- Encouraging experimentation with clear boundaries
Class Details
Taught By
Language
English
Delivery Method
Date
Class Format
TraditionalPartner
tryScrumRegistration
RegisterVenue
Virtual Online