Module 1: Fundamentals of AI in Agile Project Management
- 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
Module 2: Data Literacy for Agile Project Managers
- 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
Module 3: AI for Resource and Team Management
- 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
Module 4: Predictive Analytics in Agile Project Management
- 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
Module 5: AI in Project Monitoring and Reporting
- 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
Module 6: Ethics, Bias, and Regulation in AI for Project Management
- 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
Module 7: Evaluating and Implementing AI Tools in Agile Projects
- 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
Module 8: Future Trends and AI in Agile Project Management
- 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
Tools you will explore
- ChatGPT
- Google Gemini
- Microsoft Copilot
- Trello AI
- Jira Free Tier
- ClickUp
- Notion AI
- GitHub Copilot
- Google Sheets with AI Add-ons
- Power BI
- Tableau Public
- Python
- Pandas
- Scikit-learn
- TensorFlow
- AutoML Tools
- Miro AI
- Zapier
- Slack AI Integrations
- Burndown & Sprint Analytics Dashboards
