• Intelligent Project Operations: Discover how AI enhances planning, scheduling, task prioritization, and progress tracking to reduce manual effort and improve project consistency.
• Predictive Planning & Resource Optimization: Use data-driven insights for timeline forecasting, workload balancing, capacity planning, and early risk detection to keep projects on track.
• Governance, Compliance & Risk Awareness: Understand how AI supports documentation accuracy, change control, audit readiness, and ongoing risk monitoring in project environments.
• Leadership Foundations for AI-Augmented Projects: Build skills to lead teams using AI-enabled workflows, including automated reporting, real-time insights, and improved stakeholder alignment.

Module 1: Project Management Overview

1. 1.1 Introduction to Project Management
2. 1.2 Project Management Lifecycle
3. 1.3 Advanced Project Management Tasks
4. 1.4 Project Management Frameworks
5. 1.5 Project Manager’s Roles and Responsibilities

Module 2: Introduction to AI and ML

1. 2.1 Introduction to Artificial Intelligence (AI)
2. 2.2 Introduction to Machine Learning (ML)
3. 2.3 Neural Networks
4. 2.4 AI and ML Applications and Trends
5. 2.5 Case Studies on AI and ML Projects

Module 3: Data Driven Decision Making

1. 3.1 The Importance of Data in Artificial Intelligence
2. 3.2 Data Analysis Techniques
3. 3.4 Applying Data Insights to Project Decisions
4. 3.5 Tools for Data Visualization and Reporting
5. 3.6 Challenges and Best Practices

Module 4: AI-Driven Project Risk Management

1. 4.1 AI in Risk Management – An Introduction
2. 4.2 AI for Risk Mitigation and Response
3. 4.3 AI for Financial and Resource Risk Management
4. 4.4 AI in Risk Management: The Future Scope
5. 4.5 Case Study – AI-based Project Risk Management

Module 5: Planning Project Work Breakdown and Structuring and Project Scheduling by AI

1. 5.1 Introduction to Work Breakdown Structure (WBS)
2. 5.2 AI for WBS Creation
3. 5.3 AI in Project Scheduling
4. 5.4 AI for Resource-Constrained Scheduling
5. 5.5 Case Studies: AI-based WBS and AI Algorithms for Project Scheduling

Module 6: Effective Project Budgeting Using AI

1. 6.1 Introduction to AI in Budgeting
2. 6.2 AI for Estimating Costs and Budget Allocation
3. 6.3 AI for Budget Optimization
4. 6.4 Future of AI in Project Budgeting
5. 6.5 Case  Study:  AI  Algorithms  for  Project  Scheduling, AI- Based Model for Estimating Costs and Budget Allocation

Module 7: AI for Planning Human Resources

1. 7.1 Introduction to AI in Human Resource Planning
2. 7.2 AI for Workforce Allocation
3. 7.3 AI in Skill Matching and Employee Performance Analysis
4. 7.4 The Future of AI in Human Resource Planning
5. 7.5 Case Studies: Designing AI-Based Models for HR Planning

Module 8: Stakeholder Management Using AI

1. 8.1 Introduction to Stakeholder Management and AI
2. 8.2 Identifying and Categorizing Stakeholders Using AI
3. 8.3 Stakeholder Conflicts Management with AI
4. 8.4 Ethics and Future Prospects in AI-based Stakeholder Management
5. 8.5 Case Studies: AI Tools for Stakeholder Management

Module 9: AI-based Project Monitoring

1. 9.1 Introduction to Project Monitoring and AI
2. 9.2 AI-based Tools for Monitoring Project Progress
3. 9.3 AI for Risk Monitoring
4. 9.4 Case Studies: AI Tools for Project Monitoring

Module 10: Transformative Role of Project Management

1. 10.1 Current State of AI in Project Management
2. 10.2 Ethical Considerations in AI-Based Project Management
3. 10.3 Technical Challenges in AI Integration

Additional Module: AI Agents for Project Management Practitioner

1. 1. Understanding AI Agents
2. 2. How Does an AI Agent Work
3. 3. Applications and Trends of AI Agents in Project Management
4. 4. Core Characteristics of AI Agents
5. 5. Significance of AI Agents in Project Management
6. 6. Types of AI Agents
7. 7. Case Study-AI Agents for Agile Project Delivery – Atlassian in Action
8. 8. Hands-On Activity

AI-Augmented Delivery Professional

Work alongside project leaders using AI-powered dashboards and insights to support planning, coordination, and delivery tracking.

Project Intelligence Associate

Translate project data into meaningful signals using AI-assisted reporting, helping teams anticipate delays and workload challenges.

Operations and Execution Analyst

Apply AI tools to improve task flow, resource visibility, and operational rhythm across ongoing initiatives.

Transformation Program Support Specialist

Assist digital transformation efforts by integrating AI-enabled project workflows into existing delivery and governance structures.

Future-Ready Project Practitioner

Build early expertise in AI-supported project environments, creating a strong foundation for advanced project or transformation roles.