BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:AI Training Series - Introduction to the LRZ AI Systems
DTSTART:20260504T080000Z
DTEND:20260504T150000Z
DTSTAMP:20260608T230100Z
UID:indico-event-361@events.hpc-portal.eu
DESCRIPTION:Contents\nThe aim of this course is to give an overview of the
  LRZ AI Systems\, and provide participants with the knowledge and skills n
 ecessary to efficiently utilise them. The course consists of mini lectures
 \, demos and hands on sessions (breaks included).\nBy participating in thi
 s lecture\, you will be able to:\n\nUnderstand the resources that the LRZ 
 AI System provides\nHow to allocate resources on the LRZ AI System and pro
 vision them with the needed software stack\nHow to interactively work with
  the LRZ AI Systems via the terminal (also Jupyter Notebooks for single GP
 U workload)\n\nUpon completion\, you will be able to effectively use the L
 RZ AI Systems to run Deep Learning workflows.\nPrerequisites\n\nAI Trainin
 g Series: Orientation Session (or comparable previous knowledge)\nAI Train
 ing Series: Introduction to Container Technology & Application to AI at LR
 Z (or comparable previous knowledge)\nGood understanding of Deep Learning 
 and Classical Machine Learning (courses such as Introduction to Deep Learn
 ing (I2DL) (IN2346) are provided by TUM - material also available for non-
 TUM students)\n\nHands-On\nDuring the course a live demo on how to access 
 and operate the LRZ AI system will be showcased. Exercises will be conduct
 ed on the LRZ AI Systems. In addition\, the parallelisation of the trainin
 g of a ML model will be also demonstrated. \nContent Level\nThe content l
 evel of the course is broken down as:\n\n\n\nBeginner's content:\n100%\n\n
 \nIntermediate content:\n0\n\n\nAdvanced content:\n0\n\n\nCommunity-target
 ed content:\n0\n\n\n\n \nLanguage\nEnglish\nLecturers\nDr. Mares Barekzai
  and Benjamin Geißler (both LRZ)\nPrices and Eligibility\nThe course is
  open and free of charge for people from academia and industry from the Me
 mber States of the European Union and Associated/Other Countries to the H
 orizon 2020 programme.\nRegistration\nPlease apply with your official emai
 l address to prove your affiliation. The final participants will be select
 ed and informed after the registration deadline has passed. Priority will 
 be given to users of the LRZ AI systems\, who are kindly requested to prov
 ide their Project ID associated with the LRZ AI Systems in the registratio
 n form.\nWithdrawal Policy\nSee Withdrawal\nLegal Notices\nFor registratio
 n for LRZ courses and workshops we use the service edoobox from Etzensperg
 er Informatik AG (www.edoobox.com). Etzensperger Informatik AG acts as pro
 cessor and we have concluded a Data Processing Agreement with them.\nSee L
 egal Notices\n\nhttps://events.hpc-portal.eu/event/361/
LOCATION:Online
URL:https://events.hpc-portal.eu/event/361/
END:VEVENT
END:VCALENDAR