• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

Discover how AI-powered insights improve backlog prioritization, sprint forecasting, and resource allocation for predictable delivery. Learn to use AI tools to track progress, identify bottlenecks, and automate routine tasks to keep projects moving smoothly. Gain the ability to analyze real-time project metrics, risks, and team performance with AI support for faster, smarter decisions.

Audience profile
  • Project Managers
  • Scrum Masters
  • Product Owners
  • Business Analysts
  • Agile Team Members

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Course details

Module 1: Fundamentals of AI in Agile Project Management

Module 2: Data Literacy for Agile Project Managers

Module 3: AI for Resource and Team Management

Module 4: Predictive Analytics in Agile Project Management

Module 5: AI in Project Monitoring and Reporting

Module 6: Ethics, Bias, and Regulation in AI for Project Management

Module 7: Evaluating and Implementing AI Tools in Agile Projects

Module 8: Future Trends and AI in Agile Project Management

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Prerequisites

  • Familiarity with project lifecycle and management principles.
  • Awareness of agile methodologies like Scrum and Kanban.
  • Basic knowledge of artificial intelligence and its applications.
  • Ability to address challenges in dynamic environments.
  • Comfort working in cross-functional, collaborative teams.

Our Technology Partners

Spectrum Networks is the Authorised Learning Partner for some of the leaders in IT technology for Digital Transformation