Introduction to Deep Learning

Start date:  23 November 2026, 09:00 (CET)   Entry level:  BasicEnd date:  24 November 2026, 16:00 (CET)   Subject area:  Artificial Intelligence (AI)Location:  ONLINE (Zoom)     Topics:  Deep learning (DL)Language:  English     Target audience:  Industry, public admin, academiaPrice:  Free (for eligible participants)     Organizers:  AI:AT & ASCThis course covers the essentials of neural networks, from ANNs to CNNs for computer vision, RNNs for sequence processing and transfer learning. Participants will gain hands-on experience using PyTorch to build and train models on high-end GPUs on an HPC cluster.Deep Learning (DL) has enjoyed a surge in popularity during the last decade. This is mainly owed to the fact that DL is computationally quite expensive and needs vast amounts of data to train useful models. Both computational resources and large datasets have become more readily available in recent years, leading to breakthroughs in DL applications.This course aims at interested participants from all domains, who have not yet jumped on the bandwagon of the DL trend.The course will cover the basic principles of fully connected neural networks, convolutional neural networks (CNNs) for computer vision, recurrent neural networks (RNNs) for text or speech recognition, transfer learning to leverage pretrained models, and touch on large language models (LLMs) which have become all the rage in the past few years.Agenda & ContentFor a detailed timetable and additional information, please see Agenda & Content in the left menu.Target audience, eligibility & pricesThis course is designed for software developers, data scientists, and researchers who want to transition from simply using AI tools to building, customizing, and deploying them.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 & prerequisitesBasic – no prior DL knowledge is required.Participants are expected to have basic programming skills in Python. Participants should know how to work on the Linux command line.Course formatThis course will be delivered as a LIVE ONLINE COURSE (using Zoom).Hands-on labsAll 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.LecturerSimeon Harrison (AI Factory Austria AI:AT) Simeon worked as a high-school mathematics teacher for eight years before joining the EuroCC project’s training team at ASC, TU Wien in February 2021. In that role, he designed, developed, and delivered courses on Machine Learning and Deep Learning. He currently works as an AI Expert for INiTS, Vienna’s high-tech start-up incubator, which is part of the AI Factory Austria consortium. There, he consults with and develops proof-of-concepts for start-ups and SMEs, with a special emphasis on training and fine-tuning Large Language Models (LLMs) on HPC clusters.LanguageEnglishDate, time, and location23.–24.11.2026, 09:00 – 16:00 (CET), LIVE ONLINE COURSE (Zoom)RegistrationRegistration 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 [email protected] if you have any questions.WaitinglistAfter the number of registrations has reached its maximum or the registration form has been closed, you may want to send us an email ([email protected]) 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 policyYour 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 ([email protected]).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).AcknowledgementsAI 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). 

https://events.asc.ac.at/event/330/