AI in Agile and Scrum E-Learning Training

Met de AI in Agile and Scrum E-Learning Training ontdek je hoe Artificial Intelligence Agile- en Scrum-praktijken verandert binnen de software development lifecycle. Deze training laat zien hoe AI-powered tools teams kunnen ondersteunen bij sprint planning, estimation accuracy, testing efficiency, team collaboration en besluitvorming.

Demo AI in Agile and Scrum E-Learning Training

Je leert hoe predictive analytics diepere inzichten kan geven in Agile metrics, zodat teams risico’s sneller herkennen, uitkomsten beter kunnen voorspellen en delivery performance continu kunnen verbeteren. Daarnaast behandelt de training praktische strategieën om AI te integreren in Agile workflows, communicatie tussen stakeholders te verbeteren en innovatie binnen Scrum teams te stimuleren.

De training richt zich ook op leiderschap en organisatieverandering. Je leert hoe je AI-adoptie begeleidt, verandering binnen teams ondersteunt en een cultuur ontwikkelt waarin intelligent automation effectief wordt ingezet. De training wordt afgesloten met een final exam waarmee je jouw begrip van AI-driven Agile transformation en toepassing in real-world Agile environments kunt valideren.

Wat leer je in deze training?

• De basis van AI binnen Agile frameworks begrijpen
• AI-powered tools inzetten voor sprint planning en estimation
• Testing efficiency verbeteren met intelligent test automation
• Predictive analytics gebruiken voor Agile metrics
• Risico’s herkennen en delivery outcomes beter voorspellen
• Team collaboration en stakeholder communication versterken met AI
• AI integreren in Agile en Scrum workflows
• Innovatie binnen Scrum teams stimuleren
• AI-adoptie begeleiden vanuit leiderschapsperspectief
• Organisational change ondersteunen bij AI-driven Agile transformation

Voor wie is deze training bedoeld?

Deze training is geschikt voor:

• Scrum Masters
• Agile Coaches
• Product Owners
• Project Managers
• Software Development Teams
• QA- en Testprofessionals
• Team Leads
• IT Managers
• Digital Transformation Managers
• Professionals die AI willen toepassen binnen Agile en Scrum
• Organisaties die Agile delivery willen verbeteren met AI

Deze LearningKit met meer dan 5 leeruren is verdeeld in drie sporen:

Cursusinhoud

Deze training bevat één hoofdtrack: AI-Enhanced Agile Transformation.

Track 1: AI-Enhanced Agile Transformation

In deze track verken je de fundamenten van AI binnen Agile omgevingen. Je leert hoe AI-powered tools sprint planning, estimation accuracy, testing efficiency, collaboration en decision-making kunnen verbeteren. Predictive analytics helpt teams om Agile metrics beter te begrijpen, risico’s te identificeren, resultaten te voorspellen en delivery performance continu te verbeteren.

Ook leer je praktische strategieën voor het integreren van AI in Agile workflows, het verbeteren van communicatie tussen stakeholders en het stimuleren van innovatie binnen Scrum teams. Tot slot onderzoek je leiderschapsaanpakken voor AI-adoptie, organisatorische verandering en het creëren van een cultuur die intelligent automation omarmt.

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