Project Management Using Artificial Intelligence (AI)

This course introduces project managers to the transformative potential of Artificial Intelligence across the entire project lifecycle, including planning, execution, monitoring, and communication. Learners explore how AI tools can automate scheduling, optimize resource allocation, and assess risks through predictive analytics. Real-world examples demonstrate how AI can dynamically adjust project timelines based on data insights, team capacity, and evolving priorities. Participants will also gain hands-on experience using AI-powered assistants, such as chatbots for reporting and dashboards for data visualization, to streamline workflows and support decision-making. By the end of the course, participants will have the practical knowledge needed to responsibly integrate AI tools into project management processes and improve project efficiency and performance.

Fundamentals of Artificial Intelligence and machine learning for project management AI applications across the project lifecycle (planning, execution, monitoring, closure) Prompt design techniques for generating project documentation with AI tools AI-assisted creation of project charters, work breakdown structures, and task plans Automated scheduling and resource allocation using AI-enabled project management tools No-code automation workflows for project planning and documentation Predictive analytics for project risk detection and schedule forecasting AI-based identification of bottlenecks and resource conflicts AI tools for team collaboration, meeting transcription, and knowledge management Automated reporting and intelligent dashboards for project monitoring Practical simulations using project datasets to analyse risks and project performance Guided case study: building an AI-augmented project management workflow

At the end of the training, learners will be able to… 

• Explain the principles of Artificial Intelligence and machine learning relevant to project management. 
• Identify project management tasks that can be automated using AI tools. 
• Use AI assistants to generate project plans, schedules, and documentation. 
• Apply AI-driven analytics to detect risks and bottlenecks in project data. 
• Create automated workflows for project monitoring and reporting

Lecture / Real world scenarios / Practical Exercices / Project-based learning