| Event date | 05.02.2026 r.
06.02.2026 r. |
| Form of training, place | online (hybrid), platform MS TEAMS |
| Duration of the event | 9:00 a.m. – 13:30 p.m. CET (05.02.26)
9:30 a.m. – 12:00 a.m. CET (06.02.26) |
| Participants | university staff, academic staff, non-academic staff |
| Thematic category | training |
Academic and non-academic staff, as well as scientists, researchers, and doctoral students are invited to participate in the LETSGROW cross-sectoral training taking place this January and February. The training session “Ethics and Research Data Use” will be held online on January 29. The training session “Unlocking AI – Introduction to Large Language Models and Personal Knowledge Assistants” will be held in a hybrid format on February 5–6. All training sessions will be conducted in English. Participants will receive certificates. The program times are provided in Central European Time (CET). You can convert the times for your location here.
Take advantage of this opportunity to further develop your competencies by registering for the training. An invitation will be sent to all registered participants 3–5 days before the event, including the MS Teams link or room details. The programs of the training courses and the registration links can be found below.
Training Programme:
Hybrid training “Unlocking AI – Introduction to Large Language Models and Personal Knowledge Assistants”
Date: February 5, 9:00–13:30 CET and February 6, 9:30–12.00 CET. Registration
Location: Hybrid training: online, via MS TEAMS and in person at the University of Primorska, The Faculty of Mathematics, Natural Sciences and Information Technologies. Adress: Glagoljaška 8, 6000 Koper, Slovenia.
Lecturer: Domen Vake (University of Primorska).
Equipment: In-person participants will be provided with computers.
Pre-requisites: A Google Account (Gmail) is required to access the tools. Python Knowledge: Recommended but not required. All necessary codes will be provided; however, a basic understanding of programming syntax will help participants customize the tools further.
Project funding opportunities: travel and accommodation expenses for training participants may be available for consortium partners.
Training content: While Large Language Models (like ChatGPT) possess vast general knowledge, they lack access to your private or institutional information. This workshop focuses on Retrieval-Augmented Generation (RAG), a technique that allows AI to answer questions based on your internal documents, research papers, or administrative guidelines.
What will you learn? By the end of this training, participants will be able to:
- Understand how tools like ChatGPT actually work (and where they fail);
- Use Google-Colab, a cloud-based Python environment, to run powerful software without installation;
- Run a guided AI application to „chat” with their own PDF documents;
- Apply these skills to real tasks: summarizing research articles, searching through institutional regulations, or preparing teaching materials.
