Academic

Effective use of AI in project management

Two people collaborating at a whiteboard with a screen labeled AI in the background

Artificial Intelligence (AI) has the potential to turn the everyday lives of all participants in your projects upside down. AI is a fundamentally new way of working with the potential for major gains (and dangers) in your projects.

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Two people collaborating at a whiteboard with a screen labeled AI in the background

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Effective use of AI in project management

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In this course, you will learn how to increase efficiency and improve the quality of projects by using AI. You will learn specific techniques and methods for how to use AI through all the known phases of a project by integrating AI as a colleague in the project.

The course is practically oriented with extensive use of "live" examples and demos. You should therefore have basic knowledge of the use of AI. To get the best possible learning effect, you must have access to a paid AI tool (Claude, ChatGPT or Copilot is recommended in that order) because we will solve tasks together along the way. Among other things, we will use AI to set good goals for the project, write a project plan, organize tasks and much more.

What you'll learn

Once you have completed this course, you will be left with practical knowledge that you can put to use immediately.

  • Integrate AI as a colleague into the project team.
  • Less time spent on administrative work, such as documents, reporting and presentations.
  • Better control and quality of task management.
  • Better overview and easier day-to-day operation of the project.

The techniques you learn are general and relevant to all types of information work, not just project work. They are universal and work across many AI tools.

Program content

25 May: Day 1

Part 1 (1 hour): Getting started

  • Why use AI in projects?
  • Prompting that gives results.
  • Setting SMART goals with AI.

Part 2 (2 hours): AI as a colleague

  • Integrate AI as a colleague into your project team
  • Organize data for sharing with AI
  • Writing a project plan with AI
  • AI traps you want to avoid.

27 May: Day 2

Part 3 (2 hours): Task management with AI

  • AI can talk to external systems
  • Processing requirements with AI
  • Automatic task generation
  • Reporting

Part 3 (1 hour): The project manager's everyday life

We choose 2-3 of the following topics depending on what is most relevant to the participants:

  • Assessing suppliers with AI
  • Conflict management with AI
  • Effective meetings with AI
  • Scope creep with AI
  • Risk management with AI
  • Handover with AI

Practical information

  • The course is conducted digitally on Zoom over two days, 25 and 27 May, at 12.00–15.00 both days. Participants will be assigned voluntary tasks that can be solved on their own after each course day.
  • The course assumes basic knowledge of AI.
  • You must have access to a paid version of either Claude (recommended), ChatGPT or Copilot. The course instructor uses Claude.
  • Participants must have installed a Markdown editor. It is not important which editor is used. If in doubt, Typora is recommended (free for 14 days, then USD 15 for a perpetual license).
  • For task management, Jira is used as an example.
  • If you cancel a professional course or conference after the registration deadline, a fee of 20 percent of the course or conference price will be charged. If you cancel later than three working days before the event, or in case of no-show, the full course fee will be invoiced. Cancellation is sent to

 

 

Per Kristian Haakonsen

Course instructor Per Kristian Haakonsen leads the software development at ACAMS Airport Tower Solutions, which delivers safety-critical systems to air traffic control towers in over 45 countries. He has 18 years of experience from the IT industry and a master's degree in computer science from the University of Oslo. He primarily courses in project management, AI (Artificial Intelligence)/AI (Artificial Intelligence) and presentation techniques and uses knowledge from daily work with these subjects. He has led over 50 projects, is a PRINCE2 Practitioner and certified Scrum Product Owner, and has led the transition to agile working methods in several organizations. Now he is leading the AI transition across departments in his own company, with the problems and objections it actually entails.

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