BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Introduction to Deep Learning
DTSTART:20261123T080000Z
DTEND:20261124T150000Z
DTSTAMP:20261102T150800Z
UID:indico-event-330@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Start date:  23 November 2026\, 09:00 (CET)   Entry level: 
  BasicEnd date:  24 November 2026\, 16:00 (CET)   Subject area:  Arti
 ficial Intelligence (AI)Location:  ONLINE (Zoom)     Topics:  Deep le
 arning (DL)Language:  English     Target audience:  Industry\, public
  admin\, academiaPrice:  Free (for eligible participants)     Organize
 rs:  AI:AT & ASCThis course covers the essentials of neural networks\, fr
 om ANNs to CNNs for computer vision\, RNNs for sequence processing and tra
 nsfer learning. Participants will gain hands-on experience using PyTorch t
 o 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 mai
 nly 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\, le
 ading to breakthroughs in DL applications.This course aims at interested p
 articipants from all domains\, who have not yet jumped on the bandwagon of
  the DL trend.The course will cover the basic principles of fully connecte
 d neural networks\, convolutional neural networks (CNNs) for computer visi
 on\, recurrent neural networks (RNNs) for text or speech recognition\, tra
 nsfer 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 & pricesT
 his course is designed for software developers\, data scientists\, and res
 earchers who want to transition from simply using AI tools to building\, c
 ustomizing\, and deploying them.This course is open and free of charge for
  all participants from academia\, industry\, and public administration fro
 m EU and/or EuroHPC JU member countries.Entry level & prerequisitesBasic 
 – no prior DL knowledge is required.Participants are expected to have ba
 sic programming skills in Python. Participants should know how to work on
  the Linux command line.Course formatThis course will be delivered as a LI
 VE ONLINE COURSE (using Zoom).Hands-on labsAll participants will get a tem
 porary 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 Fact
 ory 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 del
 ivered courses on Machine Learning and Deep Learning. He currently works a
 s 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 an
 d develops proof-of-concepts for start-ups and SMEs\, with a special empha
 sis on training and fine-tuning Large Language Models (LLMs) on HPC cluste
 rs.LanguageEnglishDate\, time\, and location23.–24.11.2026\, 09:00 – 1
 6:00 (CET)\, LIVE ONLINE COURSE (Zoom)RegistrationRegistration is required
 \, the registration form can be found on top of this page in the menu on t
 he left.Please register with your official institutional email address to 
 prove your affiliation.You will get an automatic confirmation by email (su
 bject 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 contac
 t us at training@ai-at.eu if you have any questions.WaitinglistAfter the n
 umber of registrations has reached its maximum or the registration form ha
 s been closed\, you may want to send us an email (training@ai-at.eu) stati
 ng that you are interested to be put on the waiting list (vacancies may oc
 cur 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.Modifi
 cation\, withdrawal & no-show policyYour registration is binding. Please o
 nly register for the course if you are really going to attend.You can upda
 te your registration data or withdraw your registration anytime before the
  registration form has been closed via the link "Manage my registration" w
 hich you can find at the bottom of your automatic email confirmation (subj
 ect starting with "[Indico] Registration").Alternatively\, or after the re
 gistration form has been closed\, please inform us about your cancelation 
 or any change in your registration data (especially your mobile-phone numb
 er) 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 fu
 ture training events.Organizers                This course is 
 jointly organized by AI Factory Austria AI:AT and Austrian Scientific Comp
 uting ASC (aka ASC Research Center\, TU Wien).AcknowledgementsAI Factory A
 ustria AI:AT has received funding from the European High-Performance Compu
 ting Joint Undertaking (JU) under grant agreement No 101253078. The JU rec
 eives support from the Horizon Europe Programm of the European Union and A
 ustria (BMIMI / FFG). \n\nhttps://events.asc.ac.at/event/330/
LOCATION:Zoom (ONLINE)
URL:https://events.asc.ac.at/event/330/
END:VEVENT
END:VCALENDAR