AI+ Agile Project Management Fundamentals|System Source

Explore AI+ Agile Project Management Fundamentals™ on how artificial intelligence enhances Agile methodologies to improve planning accuracy, sprint execution, risk visibility, and stakeholder collaboration. The course focuses on integrating AI-driven insights into Scrum, Kanban, and hybrid Agile environments to enable data-informed decision-making. It examines predictive analytics for backlog prioritization, resource allocation, and performance tracking. By combining Agile principles with intelligent automation, it supports faster delivery cycles and improved project outcomes in dynamic business environments.


07/06/26 - NVT - Virtual Classroom - Virtual-Instructor Led	(click to enroll)
08/10/26 - NVT - Virtual Classroom - Virtual-Instructor Led	(click to enroll)
09/07/26 - NVT - Virtual Classroom - Virtual-Instructor Led	(click to enroll)
10/12/26 - NVT - Virtual Classroom - Virtual-Instructor Led	(click to enroll)
11/02/26 - NVT - Virtual Classroom - Virtual-Instructor Led	(click to enroll)
12/07/26 - NVT - Virtual Classroom - Virtual-Instructor Led	(click to enroll)

Understand core Agile principles including Scrum, Kanban, and iterative delivery models
Apply AI-driven analytics to improve sprint planning, estimation, and forecasting
Use intelligent tools for backlog prioritization and risk identification
Enhance team productivity through automation and real-time performance insights
Integrate AI into Agile ceremonies such as stand-ups, retrospectives, and reviews
Analyze project metrics to support continuous improvement and data-driven decisions

Fundamentals of AI in Agile Project Management

Introduction to AI Concepts for Project Managers
Synergy Between AI and Agile Methodologies
Case Study: AI-Enhanced Sprint Planning
Hands-On Session: AI Tools Walkthrough for Sprint Planning and Backlog Grooming

Data Literacy for Agile Project Managers

Understanding Project Data Types and Sources
Data-Driven Decision Making in Agile
Case Study: Data-Led Sprint Retrospectives
Hands-On Simulation Exercise: AI-Driven Sprint Prediction and Metrics Analysis

AI for Resource and Team Management

Predictive Resource Allocation
AI-Driven Agile Metrics and Performance Tracking
Use Cases: Smart Scheduling and Workload Balancing
Hands-On Session: Managing Team Capacity and Task Distribution Using AI Dashboards

Predictive Analytics in Agile Project Management

Foundations of Predictive Modelling
Forecasting Delays and Resource Shortages
Case Studies: Early Risk Detection in Agile Projects
Hands-On Simulation Exercise: Resource Shortage and Timeline Forecasting

AI in Project Monitoring and Reporting

Real-Time Monitoring with AI
Intelligent Reporting and Stakeholder Communication
Use Cases: Automated Status Updates and Performance Reviews
Hands-On Session: Creating AI-Powered Reports and Visual Dashboards

Required

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