AI+ Agile Project Management Fundamentals™
Transform Project Delivery with AI+ Agile Project Management Fundamentals
This course provides a practical introduction to AI-powered agile project management, covering sprint planning, backlog prioritization, and resource allocation for predictable delivery. Learners gain hands-on experience using AI tools to track progress, identify bottlenecks, and automate routine tasks, building skills that directly enhance team efficiency. The program develops data-driven decision-making expertise, enabling participants to analyze real-time metrics, risks, and performance for smarter, faster decisions. It also strengthens collaboration through intelligent communication and reporting tools that improve transparency and stakeholder alignment. Finally, learners acquire predictive risk management skills, learning to anticipate delays, budget challenges, and scope changes for proactive planning and effective mitigation.
Enrollment Fee:
MUR 6,045
What You'll Learn
1.1 Introduction to AI Concepts for Project Managers
1.2 Synergy Between AI and Agile Methodologies
1.3 Case Study: AI-Enhanced Sprint Planning
1.4 Hands-On Session: AI Tools Walkthrough for Sprint Planning and Backlog Grooming
2.1 Understanding Project Data Types and Sources
2.2 Data-Driven Decision Making in Agile
2.3 Case Study: Data-Led Sprint Retrospectives
2.4 Hands-On Simulation Exercise: AI-Driven Sprint Prediction and Metrics Analysis
3.1 Predictive Resource Allocation
3.2 AI-Driven Agile Metrics and Performance Tracking
3.3 Use Cases: Smart Scheduling and Workload Balancing
3.4 Hands-On Session: Managing Team Capacity and Task Distribution Using AI Dashboards
4.1 Foundations of Predictive Modelling
4.2 Forecasting Delays and Resource Shortages
4.3 Case Studies: Early Risk Detection in Agile Projects
4.4 Hands-On Simulation Exercise: Resource Shortage and Timeline Forecasting
5.1 Real-Time Monitoring with AI
5.2 Intelligent Reporting and Stakeholder Communication
5.3 Use Cases: Automated Status Updates and Performance Reviews
5.4 Hands-On Session: Creating AI-Powered Reports and Visual Dashboards
6.1 Ethical AI in Decision-Making
6.2 Bias and Risk in Predictive Models
6.3 Regulatory and Compliance Considerations
6.4 Hands-On Exercise: Evaluating AI Outputs for Fairness and Responsible Use
7.1 Selecting the Right AI Solutions
7.2 Change Management and Stakeholder Adoption
7.3 Case Study: AI-Automated Reporting and Risk Forecasting in Consulting Projects
7.4 Hands-On Simulation Exercise: Tool Evaluation and Vendor Comparison
7.5 Hands-On Exercise: Measuring AI Effectiveness with Project Analytics Platforms
8.1 Autonomous and Self-Optimising Projects
8.2 AI for Remote and Distributed Agile Teams
8.3 Case Studies Inspired by Industry Trends
8.4 Hands-On Simulation Exercise: Designing an AI-Augmented Agile Workflow
Prerequisites
- Basic Understanding of Project Management: Familiarity with project lifecycle and management principles.
- Introductory Knowledge of Agile: Awareness of agile methodologies like Scrum and Kanban.
- Familiarity with AI Concepts: Basic knowledge of artificial intelligence and its applications.
- Problem-Solving Skills: Ability to address challenges in dynamic environments.
- Team Collaboration Experience: Comfort working in cross-functional, collaborative teams.
Exam Details
Duration:
90 minutes
Passing Score:
70% (35/50)
Format:
50 multiple-choice/multiple-response questions
Delivery Method:
Online via proctored exam platform (flexible scheduling)
Unlock Self-Paced Online Learning
- Unlock Self-Paced Online Learning
- Access learning anytime, anywhere, with built-in quizzes to measure progress.
- Enrollment Fee: MUR 6,045