AI+ Agile Project Management Fundamentals™ eLearning

Transform Project Delivery with AI+ Agile Project Management Fundamentals

* Smart Sprint Planning: Discover how AI-powered insights improve backlog prioritization, sprint forecasting, and resource allocation for predictable delivery.
* Adaptive Workflow Optimization: Learn to use AI tools to track progress, identify bottlenecks, and automate routine tasks to keep projects moving smoothly.
* Data-Driven Decision Making: Gain the ability to analyze real-time project metrics, risks, and team performance with AI support for faster, smarter decisions.
* Enhanced Team Collaboration: Master intelligent communication and reporting tools that improve stakeholder alignment, transparency, and cross-functional teamwork.
* Predictive Risk Management: Use AI to anticipate delays, budget overruns, and scope creep, enabling proactive planning and effective mitigation strategies.

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

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

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