BOOTCAMP: AI for Science Bootcamp

This Bootcamp will be held online with Zoom.

During this two-day online Bootcamp, participants will learn how to apply AI tools, techniques and algorithms to real-life problems. You will study the core concepts of Deep Neural Networks, how to build Deep Learning models as well as how to measure and improve the accuracy of your models. You will also learn essential data pre-processing techniques to ensure a robust Machine Learning pipeline. This online Bootcamp is a hands-on learning experience where you will be guided through step-by-step instructions with teaching assistants on hand to help throughout.

The Bootcamp is co-organised by HLRS, JSC, LRZ, VSC, and NVIDIA for EuroCC Austria and EuroCC@GCS, the Austrian and German National Competence Centres for High-Performance Computing.


Online course
Organizer: HLRS, University of Stuttgart, Germany


17. Apr 2023


18. Apr 2023






Data in HPC / Deep Learning / Machine Learning


Artificial Intelligence

Big Data

Deep Learning

Machine Learning

Scientific Machine Learning

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Prerequisites and content levels


Basic experience with Python. No GPU programming or AI knowledge is required.
Some Machine and Deep Learning knowledge is an advantage.

Content levels
  • Intermediate level: 3,5 hours
  • Advanced level: 3,5 hours

Learn more about course curricula and content levels.


Main lecturer: Miguel Martinez (NVIDIA)

Teaching assistants:

Troy Crutcher (NVIDIA), Alexandre Strube, Fritz Niesel (JSC), Layal Ali, Tobias Haas, Khatuna Kakhiani (HLRS), Maja Piskac, Florent Dufour, Naweiluo Zhou, Navdar Karabulut (LRZ), Simeon Harrison, Soner Steiner, Ivan Vialov (VSC Vienna)


- preliminary -

CEST time:

Cluster Dry Run: Monday, April 17: 11:30 AM - 12:30 PM

Day 1 (April 17, afternoon): Introduction

  • 1:30 PM - 1:45 PM: Welcome (Moderator)
  • 1:45 PM - 2:30 PM: Introduction to GPU computing (Lecture)
  • 2:30 PM - 3:30 PM: Introduction to AI (Lecture)
  • 3:30 PM - 5:00 PM: CNN Primer and Keras (hands-on lab)

Day 2 (April 18, afternoon): Advanced Topics

  • 1:30 PM - 3:00 PM: Tropical cycle detection (Lab + Challenge)
  • 3:00 PM - 3:15 PM: Break
  • 3:15 PM - 4:45 PM : Steady Flow Estimation (Challenge)
  • 4:45 PM - 5:00 PM: Wrap up and QA

Hands-on sessions

Attendees will be given access to a GPU cluster for the duration of the Bootcamp.

The code is publicly available on github (climate and CFD test-cases).

Registration information

The course is open and free of charge for participants from academia and industry.

Please register at via the button at the top of this page with your institutional e-mail address to prove your affiliation.

The final participants will be selected and informed after the registration deadline has passed.

This course is offered in cooperation by HLRS, JSC, LRZ, VSC, and NVIDIA. Registration is done via hosted by Your registration data will be transferred to these partners. For legal notes see the Privacy Policy.

Registration closes on March 28, 2023 at 23:55.


This event is free of charge.


Lorenzo Zanon, phone 0711 685 63824,
Tobias Haas, phone 0711 685 87223, tobias.haas(at)
Khatuna Kakhiani, phone 0711 685 65796, kakhiani(at)


HLRS is part of the Gauss Centre for Supercomputing (GCS), which is one of the six PRACE Advanced Training Centres (PATCs) that started in Feb. 2012.

This course is not part of the PATC curriculum and is not sponsored by the PATC program.

HLRS is also member of the Baden-Württemberg initiative bwHPC.


This course has been developed together with EuroCC2. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing.

Further courses

See the training overview and the Supercomputing Academy pages.