AI-powered Project Management

From Gantt to GPT: AI for modern managers

Project management in the AI era means more than just predictable, repeatable delivery. Today, it’s also about speed, adaptability, and precise decision-making. This course brings a solid combination of classic project management methodology and AI-powered tools, applicable to every stage of a project. You’ll learn how to gain control, clarity, and real impact – faster and more efficiently than ever before.

Who is it for?

Such a course is aimed at multiple categories of professionals who work with projects and want to remain relevant in a context where AI is changing the way we work.

• project managers
• team leads or department managers
• consultants/freelancers
• entrepreneurs or start-up founders
• digital, IT, marketing, HR specialists
• people pivoting in their careers

Learning Goals

• Understanding the basic concepts of generative artificial intelligence: what is generative AI and how it can be applied in practical ways to support project management activities, from analysis to automation.
• Managing projects effectively with the help of AI: clear overview of the five essential stages of a project – initiation, planning, execution, monitoring, and closing – and how one can use AI-based tools in each of them.
• Mastering the methodology and mindset of a project manager: building a solid foundation in project management methodologies, understanding structured processes, and developing the mindset needed to lead projects from start to finish with confidence and rigor.

Modules

1. Fundamentals and Basic Concepts

• What is a project and what sets it apart from other initiatives
• What AI is and how it can support project management activities
• What “success” means in a project, beyond deliverables

2. Project Initiation

• Identifying stakeholders and actively engaging them
• How to document the project’s purpose and initial agreements
• How to set the right expectations for success

Practical AI applications:

• Creating a stakeholder map
• Stakeholder interview form
• Defining project objectives/agreements with AI support

3. Project Planning

• How to create a Work Breakdown Structure (WBS)
• How to build a Gantt chart and a realistic schedule
• How to identify risks and develop an effective communication plan

Practical AI applications:

• Risk assessment form and response plan
• Generating a project timeline
• Creating a communication plan

4. Project Execution

• How to maintain team engagement and individual accountability
• How to hold effective performance conversations
• How to address motivation challenges

Practical AI applications:

• Identifying non-financial motivation factors
• Creating an open points list
• Simulating feedback scenarios for difficult conversations

5. Monitoring and Control

• How to track progress and communicate updates
• How to manage scope changes responsibly
• How to generate clear and useful reports for stakeholders

Practical AI applications:

• Creating a customized status report template
• Generating a change request form

6. Project Closure

• How to compare results against initial objectives
• How to finalize all deliverables and formally close the project
• How to leverage feedback and document lessons learned

Practical AI applications:

• Lessons learned form, tailored to your needs
• Complete project closure checklist

7. Self-Management in Project Management 

(bonus module, interwoven throughout the course)

• How to maintain motivation and focus
• How to make clear and fast decisions
• Techniques for deep work and structured productivity