| Start date: | 10 Juni 2026, 16:00 (CEST) | Entry level: | Basic | |
| End date: | 10 Juni 2026, 18:30 (CEST) | Subject area: | Artificial Intelligence (AI) | |
| Location: | ONLINE (Zoom) | Topics: | Computer Vision | |
| Language: | English | Target audience: | Industry, public admin, academia | |
| Price: | Free (for eligible participants) | Organizers: | AI:AT & ASC |
What if you could search images for specific contents – even if they’re not tagged? In this hands-on training, you’ll get to know CLIP (Contrastive Language–Image Pre-Training), how to prepare your data, and build a smart image search that “gets” both images and text.
Discover how modern AI can connect images and text in powerful new ways. In this hands-on webinar, you’ll learn how to work with a CLIP model from Hugging Face, how to prepare and load your data, and to generate embeddings for text-based image retrieval.
We’ll guide you step by step through building a similarity pipeline, showing how to rank images based on how well they match a given text prompt. You’ll dive into practical evaluation techniques, including precision and recall, to understand how well your system actually performs.
You’ll also explore how to interpret results, spot common pitfalls, and recognize the real-world limitations of pretrained models. Whether you’re building search systems, recommendation engines, or multimodal AI applications, this session will give you the practical skills and critical insight needed to get started with confidence.
Agenda & Content
For a detailed timetable and additional information, please see Agenda & Content in the left menu.
Target audience, eligibility & prices
Everyone is welcome who wants to get a deeper understanding of how and why AI systems make decisions.
This course is open and free of charge for all participants from academia, industry, and public administration from EU and/or EuroHPC JU member countries.
Entry level & prerequisites
Basic – Participants are expected to be familiar with basic python programming, prior machine learning experience is not required.
Course format
This course will be delivered as a LIVE ONLINE COURSE (using Zoom).
Hands-on labs
All participants will get a temporary user account on one of the ASC systems to do the hands-on labs.
You will use your own laptop or workstation to connect conveniently from your browser to the ASC Jupyterhub and do the hands-on exercises on a suitable CPU or GPU partition of the ASC.
Accepted participants will be contacted a few days before the course and asked to do a short pre-assignment that has to be completed before the course starts.
Lecturer
Michela Vignoli (AIT Austrian Institute of Technology GmbH)
Michela Vignoli is Data Scientist at AIT Austrian Institute of Technology and PhD candidate in Digital Humanities at the University of Vienna. Her work focuses on applying Artificial Intelligence and Machine Learning to humanities data, with a particular interest in multimodal approaches and image–text analysis.
Language
English
Date, time, and location
10.06.2026, 16:00 – 18:30 (CEST), LIVE ONLINE COURSE (Zoom)
Registration
Registration is required, the registration form can be found on top of this page in the menu on the left.
Please register with your official institutional email address to prove your affiliation.
You will get an automatic confirmation by email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders.
Following your successful registration, you will receive further information a few days before the course.
Please do not hesitate to contact us at training@ai-at.eu if you have any questions.
Waitinglist
After the number of registrations has reached its maximum or the registration form has been closed, you may want to send us an email (training@ai-at.eu) stating that you are interested to be put on the waiting list (vacancies may occur due to cancelations, etc.).
To be able to do the hands-on labs on the ASC systems please provide your full international mobile-phone number for the two-factor authentication required to login to the ASC systems.
Modification, withdrawal & no-show policy
Your registration is binding. Please only register for the course if you are really going to attend.
You can update your registration data or withdraw your registration anytime before the registration form has been closed via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").
Alternatively, or after the registration form has been closed, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number) via email (training@ai-at.eu).
No-show policy: If you do not cancel and do not show up at the course you will be blacklisted and excluded from future training events.
Organizers
This course is jointly organized by AI Factory Austria AI:AT and Austrian Scientific Computing ASC (aka ASC Research Center, TU Wien).
Acknowledgements
AI Factory Austria AI:AT has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG).
