Artificial Intelligence

  • Price
    75 € + 0% VAT
  • Delivery method
    Hybrid (on-campus and online)
  • Language
    English
  • Scope
    5 ECTS
  • Course dates
  • Last application date

Did you know that data-driven decision making can add significant value to all aspects of business operations? Not sure how to make it work for you and your company? In this course, you will gain a practical understanding on how to build AI solutions. We will guide you through the steps of understanding and building solutions using artificial intelligence!

About the course

In this course we look beyond theory and focus on how to make the most of artificial intelligence (AI) - in short how machine learning and AI work in a business context. While many may think that coding is required to study AI, this course does not have that as a requirement. Instead, course participants will work on different projects by using tools from Microsoft, such as PowerBI, Microsoft Azure and Power Automate.

During the course, we will be using different steps to ensure that you understand how to build AI solutions. The steps are:

  • understanding data needs
  • data gathering
  • data preparation and structuring
  • modelling
  • visualization
  • evaluation
  • deployment

By following these steps, you will learn to describe data relationships, manage data collection, calculate basic statistics and present results.

Course schedule

January 16, at 16.30-20.00     

January 17, at 16.30-20.00       

January 18, at 10.00-13.30     

January 29, at 16.30-20.00       

January 30, at 16.30-20.00       

February 1, at 9.30-16.00           

Course lecturer

Lana Beikverdi 
Lana Beikverdi (D.Sc.) is a dedicated senior lecturer and researcher exploring the complexities of sustainable consumption, with a focus on the rebound effects that can undermine eco-friendly behaviours. Her work delves into phenomena such as green impulse buying and the persistence of non-sustainable actions among consumers who identify as environmentally conscious. Additionally, she investigates the role of emerging technologies—such as service robots and AI—in shaping consumer behaviours, particularly their potential to promote or deter sustainable practices, meat consumption, and green impulse purchases.