AI in Agile and Scrum E-Learning Training

The AI in Agile and Scrum E-Learning Training helps you discover how artificial intelligence is reshaping Agile and Scrum practices across the software development lifecycle. This training demonstrates how AI-powered tools can support teams with sprint planning, estimation accuracy, testing efficiency, team collaboration and decision-making.

Demo AI in Agile and Scrum E-Learning Training

You will learn how predictive analytics can provide deeper insights into Agile metrics, enabling teams to identify risks, forecast outcomes and continuously improve delivery performance. The training also covers practical strategies for integrating AI into Agile workflows, enhancing communication among stakeholders and fostering innovation within Scrum teams.

The training also focuses on leadership and organizational change. You will explore how to guide AI adoption, manage organizational change and create a culture that embraces intelligent automation. The journey concludes with a final exam that validates your understanding of AI-driven Agile transformation and your ability to apply these concepts in real-world Agile environments.

What will you learn?

• Understand the foundations of AI in Agile frameworks
• Use AI-powered tools for sprint planning and estimation
• Improve testing efficiency with intelligent test automation
• Apply predictive analytics to Agile metrics
• Identify risks and forecast delivery outcomes
• Strengthen team collaboration and stakeholder communication with AI
• Integrate AI into Agile and Scrum workflows
• Foster innovation within Scrum teams
• Guide AI adoption from a leadership perspective
• Support organizational change in AI-driven Agile transformation

Who should attend?

This training is suitable for:

• Scrum Masters
• Agile Coaches
• Product Owners
• Project Managers
• Software Development Teams
• QA and Testing Professionals
• Team Leads
• IT Managers
• Digital Transformation Managers
• Professionals who want to apply AI in Agile and Scrum
• Organizations aiming to improve Agile delivery with AI

This LearningKit with more than 5 hours of learning is divided into three tracks:

Course Outcome

This training includes one main track: AI-Enhanced Agile Transformation.

Track 1: AI-Enhanced Agile Transformation

In this track, you will explore the foundations of AI in Agile environments. You will learn how AI-powered tools can improve sprint planning, estimation accuracy, testing efficiency, collaboration and decision-making. Predictive analytics helps teams gain deeper insights into Agile metrics, identify risks, forecast outcomes and continuously improve delivery performance.

You will also examine practical strategies for integrating AI into Agile workflows, enhancing communication among stakeholders and fostering innovation within Scrum teams. Finally, you will explore leadership approaches for guiding AI adoption, managing organizational change and creating a culture that embraces intelligent automation.

AI in Agile & Scrum: Foundations of AI in Agile Frameworks

Course: 54 Minutes

• Course Overview
• The Evolution of AI in Software Development
• Understanding AI Technologies for Agile
• Introduction to AI Agents and Autonomous Workflows
• Prompt Engineering Fundamentals for Agile
• Knowledge Check: Assessing AI in Agile: Technologies, Agents, and Prompting Essentials
• Strategic AI Placement Across Scrum Ceremonies
• AI Governance Frameworks for Agile Teams
• Case Studies: Successful AI-Agile Integration
• Ethical Considerations and Team Adoption
• Knowledge Check: Reviewing Responsible AI in Agile: Governance, Ethics, and Practice
• Course Summary

AI in Agile & Scrum: AI-Powered Sprint Planning & Estimation

Course: 47 Minutes

• Course Overview
• User Story Generation with AI
• AI-Driven Dependency and Risk Mapping
• Predictive Estimation with Cost Awareness
• AI-Powered Sprint Simulations
• Reviewing AI-Assisted Backlog Refinement
• Capacity Planning with AI Analytics
• Knowledge Check: Assessing AI Dependency, Risks, Stories, Sprints, and Cost Analysis
• Course Summary

AI in Agile & Scrum: Intelligent Test Automation & Quality Assurance

Course: 53 Minutes

• Course Overview
• Introduction to Autonomous Test Agents
• GenAI-Powered Code Review Fundamentals
• AI Hallucinations in Testing
• Real-Time Failure Prediction with AI
• Knowledge Check: Assessing AI‑Driven Testing, Quality, and Reliability
• AI-Powered Test Case Generation
• Intelligent Defect Prediction and Risk Analysis
• Using AI in Visual and Performance Testing
• Continuous Testing in CI/CD with AI
• Knowledge Check: Reviewing AI‑Enhanced Testing and CI/CD Integration
• Course Summary

AI in Agile & Scrum: Predictive Analytics for Agile Metrics

Course: 47 Minutes

• Course Overview
• Introduction to Predictive Analytics in Agile
• Ensemble Predictions for Sprint Forecasting
• Narrative Insights: AI-Generated Explanations
• Sentiment Analytics for Team Performance
• Knowledge Check: Assessing Predictive Analytics and AI Insights in Agile
• Anti-Pattern Detection in Agile Practices
• Risk Identification and Early Warning Systems
• AI Dashboards for Real-Time Sprint Monitoring
• Translating Predictions into Action
• Knowledge Check: Reviewing AI‑Driven Sprint Intelligence and Decision-Making
• Course Summary

AI in Agile & Scrum: AI-Enhanced Collaboration & Communication

Course: 43 Minutes

• Course Overview
• AI Meeting Assistants for Agile Ceremonies
• Auto-Artifact Creation with Generative AI
• AI Coaching for Agile Teams
• Stakeholder Alignment with AI Tools
• Knowledge Check: Assessing AI for Agile Communication and Stakeholder Alignment
• Multi-Agent Whiteboarding Systems
• AI-Powered Retrospective Analysis
• AI Chatbots for Stakeholder Self-Service
• Transparency and Ethics in AI Communication
• Knowledge Check: Reviewing Collaborative AI, Insights, and Ethics in Agile Teams
• Course Summary

AI in Agile & Scrum: AI in Agile & Scrum: Leading AI Transformation in Agile Teams

Course: 1 Hour, 6 Minutes

• Course Overview
• AI Readiness Assessment with Maturity Models
• Change Management for AI Adoption
• AI Governance Playbooks for Agile
• Agile Way of Working (WoW)
• Knowledge Check: Reviewing AI Adoption Readiness, Governance, and Agile Transformation
• Measuring AI Impact and ROI
• Strategies to Scale from Pilot to Enterprise
• Continuous Learning Culture in Agile Teams
• AI Adoption Roadmap Creation
• Future Trends: AI and Agile Evolution
• Knowledge Check: Assessing Scaling AI in Agile: Roadmaps, Learning, and Future Trends
• Course Summary

Assessment

• Final Exam: AI-Enhanced Agile Transformation