Non-Degree / Dates: 15-18 July 2024

This course is a hands-on introduction to generative artificial intelligence. You will learn to use AI tools (not just ChatGPT!) to generate and manipulate text and images, and analyse textual data.

These skills will be put to use right away in the form of a small guided course project, completed in teams of 1-3 participants. The project choice is entirely up to the participants; template project ideas will also be provided. The goal is to use AI to go from idea to product in four days. This outcome could be a research paper, data analytics project, blog, AI-assisted learning of a new skill, AI-driven product prototype, or anything else. Collaboration will be encouraged. Reading materials will be provided in advance. The course culminates with project presentations on the final day. The instructor will do his best to provide guidance and mentorship in the project development process. This course itself will serve as a proof of concept to demonstrate that many tasks that would otherwise have taken weeks or months can now be completed in a matter of days using the right tools.

After completing the course, the participant:
– Is able to choose among AI tools according to the task at hand;
– Recognizes in which cases it makes sense to apply such tools
– Can assess in which aspects of the learning process it’s worth using AI and where to avoid it;
– Has learned through practice to use various text and image generators for content creation and manipulation, idea generation, and to automate research and analytics using large language models.

Why this course?

  • You have probably used some basic AI apps like ChatGPT; this is a chance to take the machine-assisted mindset to the next level

  • Not just toy examples: produce an actual product or result based on your interests with the aim to use it in further academic or business venues.

  • Personal expert mentorship from a multidisciplinary scholar with experience in both the private sector and academia.


Andres Karjus, PhD: research fellow of cultural data analytics at Tallinn University, senior research fellow at the Estonian Business School, digital skills instructor and consultant in the private sector. He has a background in the humanities as well as machine learning and artificial intelligence.
More info:


Classes take place from Monday to Thursday 10:00-14:00 (16 academic hours).


The target group is anybody looking to automate and augment their research, writing or product development processes, particularly using artificial intelligence and other machine learning-driven tools. The course is limited to 10-25 participants to foster a personalized approach.

No prerequisites, but bring your own computer.

Credit points


Course fee

  • Early-Bird Course Fee (until 31 March 2024)
  • Regular Course Fee (after 31 March 2024)
  • 300€
  • 350€

NB! The course fee does not include any subscriptions to paid versions of AI apps (which are optional) or API usage allowances.

Accommodation, cultural programme and meals are not included in the price.