AI+ Agile Project Management Fundamentals

EDU Trainings s.r.o.

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Obsah kurzu

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

Cieľová skupina

Project Managers: Professionals looking to integrate AI tools into Agile workflows to improve planning, forecasting, and delivery outcomes.
Scrum Masters: Individuals aim to enhance sprint efficiency, automate reporting, and enable smarter decision-making using AI-driven insights.
Product Owners: Professionals interested in leveraging AI for better backlog prioritization, customer insights, and value-based product development.
Business Analysts: Those seeking to use AI to analyze requirements, predict risks, and optimize stakeholder communication across projects.
Agile Team Members: Developers, testers, and designers wanting to streamline collaboration, automate repetitive tasks, and boost productivity with AI support.

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