Thanks to this AI for Project Management in Agile Environments course, you will learn the key concepts behind integrating artificial intelligence into the dynamic and demanding world of modern agile project management. By the end of the course, you’ll have a solid understanding of how to optimise your agile projects using AI tools, from planning and estimation through to risk and quality management, whilst also mastering a broader range of AI-powered methodologies and techniques. Not to mention that, through an in-depth study of task automation, predictive analytics and the adaptation of AI to the agile lifecycle, you’ll learn which technological solutions to apply and how to improve decision-making and team efficiency.
Cross-cutting
AI Academy
3 pm
AI for project management in Agile environments
AI Academy
3 pm
Introduction
Objectives
· Understand AI and its ethical implications for project management. · Introduce AI into project management and agile environments. · Adapt AI to the project lifecycle in agile environments. · Plan projects using AI, automating tasks and resources. · Integrate AI into agile methodologies such as Scrum and Kanban. · Manage risks and quality in agile projects using AI. · Learn about trends and the future of AI in project management.
Table of Contents
TEACHING UNIT 1. FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE TEACHING UNIT 2. ETHICS AND RESPONSIBILITY IN AI TEACHING UNIT 3. INTRODUCTION TO AI IN PROJECT MANAGEMENT TEACHING UNIT 4. PROJECT LIFE CYCLE IN AGILE ENVIRONMENTS TEACHING UNIT 5. PROJECT PLANNING WITH ARTIFICIAL INTELLIGENCE TEACHING UNIT 6. AGILE METHODOLOGIES AND THEIR INTEGRATION WITH AI TEACHING UNIT 7. RISK AND QUALITY MANAGEMENT IN AGILE PROJECTS TEACHING UNIT 8. TRENDS AND THE FUTURE OF ARTIFICIAL INTELLIGENCE
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