AI for Agile Project Managers and Scrum Masters

Course Overview

Agile frameworks have long prioritized human interaction, but the rise of Large Language Models has turned manual backlog grooming and estimation into a bottleneck. AI for Agile Project Managers and Scrum Masters retools the traditional Scrum workflow by embedding machine intelligence into every phase of the project lifecycle. This training demonstrates how to offload repetitive administrative tasks to AI agents while maintaining the core principles of the Agile Manifesto. It provides a technical edge for leaders who need to accelerate delivery cycles without burning out their teams.

What you will learn & Skills You’ll Gain

The curriculum focuses on the practical intersection of generative AI and framework-specific ceremonies. You will master Prompt Engineering tailored for product roadmapping and feature design, ensuring that your AI-generated outputs are actionable and technically sound. Participants gain specific skills in AI-enhanced backlog management, requirements forecasting, and automated risk assessment. Beyond technical execution, the course addresses the human side of the transition, teaching you how to use AI for leadership, team development, and organizational governance.

Training Structure (Syllabus)

The syllabus follows a 14-section modular path through the entire Agile lifecycle:

• Introduction: 6 lectures • 16 min
• Agile and Scrum Context for AI Integration: 4 lectures • 24 min
• Review of Content and Prompt Engineering: 3 lectures • 13 min
• AI for Product Vision and Roadmapping: 6 lectures • 25 min
• AI for Product Architecture and Feature Design: 4 lectures • 19 min
• AI for Backlog and Requirements Management: 4 lectures • 17 min
• AI-Enhanced Agile Planning: 3 lectures • 13 min
• AI for Estimation, Metrics, and Forecasting: 4 lectures • 15 min
• AI for Execution, Monitoring, and Adaptation: 4 lectures • 15 min
• AI for Quality and Continuous Improvement: 3 lectures • 13 min
• AI for Risk and Uncertainty Management: 3 lectures • 13 min
• AI in People, Teams, and Leadership: 4 lectures • 16 min
• AI for Organizational Agility and Governance: 4 lectures • 18 min
• Course Wrap-Up and Additional Materials: 1 lecture • 2 min
• Total Scope: 53 lectures spanning 3 hours and 39 minutes.

Tools & Technologies Covered

The course utilizes the current standard for cognitive automation:

• Generative AI: Large Language Models (LLMs) for content generation.
• Prompt Engineering Tools: Frameworks for designing precise project queries.
• Agile Integration: Techniques for embedding AI outputs into Scrum and Kanban workflows.
• Analytics: AI-driven forecasting and metric tracking tools.

Applied Learning Project

Knowledge is applied through a series of "Sprint-ready" simulations where you utilize AI to build out a complete project infrastructure. You will start by generating a product vision and roadmap, then proceed to architecting features and populating a product backlog. The practical element culminates in using AI to simulate project execution, monitoring metrics, and managing risks, ensuring you can immediately implement these workflows in a live Jira or Azure DevOps environment.

Duration & Study Format

• Level: Intermediate (Agile experience recommended).
• Format: Online, on-demand video lectures.
• Total Hours: 3 hours 39 minutes.

Who is this course for?

This training is specifically built for Scrum Masters and Project Managers who need to stay relevant as AI begins to automate traditional management tasks. It is equally valuable for Product Owners looking to streamline requirement gathering and feature design. If you are an Agile Coach tasked with updating team workflows for the 2026 tech landscape, the governance and leadership modules provide the necessary blueprint for that transition.

Career Outcomes

Integrating AI into your management style qualifies you for specialized leadership roles:

• AI-Ready Project Manager
• Technical Scrum Master
• Agile Transformation Lead
• Product Operations Manager

Certificate & Recognition

Upon completing the final wrap-up lecture, you receive a Udemy Certificate of Completion. This credential serves as evidence of your expertise in AI-driven project management, a high-demand skill as organizations look to modernize their delivery frameworks and reduce overhead through automation.