The AI-Powered Scrum Master

via Coursera Specialization

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Overview

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This Specialization bridges foundational scrum knowledge with AI skills tailored to scrum masters, project managers, team leads, and agile professionals. This Specialization is intended for current and aspiring leaders seeking to develop: Core scrum mastery: Scrum events, artifacts (product/sprint backlogs, increments), and commitments (Definition of Done, sprint/product goals). High-performing team leadership: Optimizing team composition, accountabilities, and human-centric skills for collaborative success. Responsible AI collaboration: Balancing human strengths with AI capabilities to maintain ethical standards and psychological safety. AI-enhanced event management: Utilizing generative AI tools to streamline meetings, communication, and backlogs. Data-driven agile insights: Applying AI metrics to track team sentiment, health, and performance delivery. Applied prompt engineering: Executing precise generative AI prompts to solve real-world, day-to-day management challenges. Through practical scenarios, you will build the experimentation loops and transparency needed to lead modern teams through any disruption.

Syllabus

Course 1: Navigating the Scrum Framework
Course 2: Building High-Performing Scrum Teams
Course 3: Facilitating Impactful Scrum Events
Course 4: Ethical AI: Balancing Tech and Humanity
Course 5: Deploying Your AI Agile Toolkit
Course 6: Accelerating Collaboration with AI
Course 7: Leveraging AI for Precision Insights

Courses

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Aimed at overcoming remote and hybrid communication roadblocks, this course demonstrates how AI tools can streamline information sharing and foster team connection. Learners will explore AI-powered meeting tools, centralized dashboards, automated reporting, and intelligent knowledge bases like Guru and Confluence. Through practical prompt engineering frameworks, participants will learn how to create structured prompts that generate actionable agendas, synthesize team feedback, and enhance overall transparency.
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Focused on the core engine of agile delivery, this course explores how scrum teams are structured and what key characteristics enable them to thrive. Learners will examine the distinct accountabilities of the product owner, scrum master, and developers, as well as essential principles such as psychological safety, cross-functionality, self-management, and shared ownership. Through practical scenarios across various industries, participants will discover how collaborative team dynamics foster trust and drive continuous value creation.
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This hands-on course demonstrates how scrum masters and teams can harness everyday AI tools to automate repetitive tasks, optimize backlog management, and elevate team retrospectives. Learners will evaluate dedicated meeting assistants, integrated project management features, and specialized retrospective platforms while practicing prompt techniques to refine AI outputs. Crucially, the course emphasizes the necessity of human oversight—guided by the motto "Verify, Edit, then Trust"—to mitigate AI limitations like bias, missing context, and hallucinations.
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Designed to help scrum masters responsibly integrate artificial intelligence into agile practices, this course focuses on balancing technological efficiency with essential human leadership. Participants will examine which scrum master responsibilities—such as coaching, conflict resolution, and trust-building—must remain human-led, and which analytical or administrative tasks can be augmented by AI. By exploring real-world scenario labs and ethical guidelines, learners will gain the confidence to leverage AI tools while safeguarding empathy, trust, and team cohesion.
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This course provides a practical guide to mastering and facilitating the five core scrum events: the sprint, sprint planning, daily scrum, sprint review, and sprint retrospective. Learners will develop key facilitation skills—such as active listening, powerful questioning, and active observation—to keep team interactions focused, inclusive, and actionable. Additionally, the course covers strategic backlog management and backlog refinement techniques like ordering, splitting, and adding detail to optimize workflow across successive sprints.
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This course equips scrum masters with the knowledge to combine quantitative product metrics with qualitative sentiment analysis for a 360-degree view of team health. Participants will discover how AI-driven analytics can evaluate velocity, cycle time, and burndown data alongside real-time morale indicators to proactively address conflict and burnout. The course also guides leaders through customizing AI models to match their team’s unique communication style while upholding strict data privacy and ethical standards.
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This course lays a comprehensive foundation for understanding the scrum framework to help teams collaborate effectively, respond to change, and deliver valuable products. Learners will explore the three core scrum accountabilities—product owner, scrum master, and developers—alongside essential scrum events, artifacts, and commitments. By mapping out how product goals, sprint goals, and the definition of done drive transparency and alignment, this course equips professionals to successfully navigate the iterative product lifecycle.