Artificial Intelligence is changing project management by automating routine tasks, streamlining workflows, and helping us make better decisions. In this course, you’ll learn to use AI tools for scheduling, managing risks, communicating and allocating resources. You’ll find out how to bring AI into your daily work, think through ethical issues, and combine automated insights with your own judgment. By the end, you’ll know how to use AI to make your projects run more efficiently while staying in control.

Master Future-Ready PM Skills

AI competencies are now essential for project professionals. 93% of companies investing in AI for project management report increased project success and ROI.​

Automate and Optimise

Learn how to use AI to automate repetitive tasks, enhance scheduling, and improve collaboration. Free up time for high-impact strategic activities rather than routine admin work.​ Gartner forecasts that by 2030, 80% of project management tasks will be managed by AI, making automation ubiquitous in portfolio and resource planning.​

Make Data-Driven Decisions

Use predictive analytics to detect risks early and leverage real-time data to increase accuracy, minimise budget overruns, and improve resource allocation.​ 54% of project professionals say AI-driven analytics have enhanced project agility and real-time adaptability, increasing their ability to respond to changing priorities.

Adopt Leading Tools

Get hands-on with industry-leading AI PM software used by top organisations in 2025, including ClickUp, Asana, Notion, and Zapier.​

Navigate AI Ethics and Human-AI Balance

Address biases, data privacy, and understand the limits of AI—keeping human expertise at the heart of leadership and project strategy.​

Stay Ahead of Trends

The market for AI-driven project management is expected to reach $7.4 billion by 2029 (CAGR 19.9%) as organisations invest in digital fluency for their PM workforce.

Learning Objectives

• Explain how AI enhances planning, scheduling, risk management, and communication in projects.
• Demonstrate how AI-powered automation can improve project efficiency and reliability.
• Use AI-driven tools for risk assessment, predictive analytics, and resource allocation.
• Apply AI to streamline repetitive tasks and boost collaboration across teams.
• Discuss ethical issues, potential biases, and data security concerns in AI-driven project management.
• Balance automated insights with human judgment for optimal results. 

Key Themes in Using AI in Project Management

• AI in project management
• Project management automation
• Predictive analytics for projects
• AI PM tools and skills
• Digital transformation for project managers
• AI scheduling and risk management
• Project management certification AI
• Human-AI collaboration in PM
• AI ethics in project management
• Next-gen project management course

Course Outline

Session One: Course Overview

• Learning Objectives
• Pre-Assignment
• Pre-Course Assessment

Session Two: Understanding AI in Project Management

• The Role of AI
• Using AI to Solve Challenges

Session Three: AI for Planning and Scheduling

• How AI Can Help
• AI-Powered Scheduling

Session Four: AI and Risk Management

• Predictive Analysis and Early Warnings
• Risk Scenario Analysis

Session Five: Communications and Collaboration

• AI-Powered Chatbots and Virtual Assistants
• Enhancing Team Collaboration
• Using Chatbots and Virtual Assistants

Session Six: Data Analysis and Decision-Making

• Data Processing and Insights
• AI-Driven Decision Support Systems
• Real-Time Data Challenge

Session Seven: AI and Task Automation

• Automation and Workflow Optimisation

Session Eight: Understanding AI Limitations

• Lack of Human Intuition and Judgement
• Ethical Implications and Biases in AI Algorithms
• Human Decision-Making

Session Nine: Addressing Data Challenges

• AI Requires Large Volumes of Quality Data
• Challenges with Data Privacy and Security
• Limitations in Handling Unexpected Changes
• Integration Challenges in AI
• Impact of Data Quality on AI

Session Ten: Case Studies and Real-World Examples

• Successfully Implementing AI

Session Eleven: The Future of AI in Project Management

• Emerging AI Trends in Project Management
• Preparing for an AI-Driven Future

Session Twelve: Using AI Tools

• Introduction to AI in Project Management
• AI Tool Applications

Personal Action Plan

Course Summary

Recommended Reading List

Post-Course Assessment

If you are interested in one of our courses, please complete the form via the link, and a member of our team will contact you with the next steps for enrollment.