AI Training Series - The LRZ Compute Cloud for AI Support

This course has been shifted from the old date 21.11.2023 to the new date 01.12.2023.

This course is part of the "LRZ AI Training Series", a series of courses aiming at the needs and expectations of data analytics, big data & AI users at LRZ. While focusing on these particular users and their use cases, this session as well as all other courses offered as part of the AI Training Series are, of course, open to all interested parties.

This course for academic participants from Germany will be organised as a hybrid event with the possibility to attend at LRZ in Garching near Munich or online. On-site participation will allow for direct interaction with trainers during hands-on and demos. When registering, you can choose between 2 booking options:

- Academia Germany ONLINE: If you want to attend remotely.
- Academia Germany ON-SITE: If you want to attend at LRZ in Garching near Munich.

On-site participants are expected to bring their own laptops.

Contents

The aim of this course is to provide participants with the knowledge and skills necessary to augment the AI workload capabilities of the LRZ AI Systems by using the LRZ Compute Cloud infrastructure. The course consists of mini lectures, and demonstration of several use cases that commonly arise when running certain AI workloads for which the LRZ AI Systems do not necessarily provide an immediate solution. The topics covered are:

  • Fundamentals of cloud computing and infrastructure as a service (IaaS) clouds

  • Using the LRZ Compute Cloud via the web Interface

  • Using the LRZ Compute Cloud via the command line

  • Description of use case scenarios and best-practise solutions

The session is structured as three contents blocks of roughly one and a half hour each:

  • Introduction to fundamentals of Cloud Computing (B)
    • Definition of Cloud Computing (B)
    • Characteristics and Types of Cloud Services (B)
  • Using the LRZ cloud resources via the web interface (B) + (I)
    • Review of ssh keys (B)
    • Introduction to the Compute Cloud web Interface (B)
    • Hands-on session (B) + (I)
      • Create ssh-key (B)
      • Create a Server in the Compute Cloud (B)
      • Security groups and floating IPs for accessing servers (I)
  • Using the LRZ cloud resources via the command line (I)
    • Introduction of the Open Client tools (I)
    • Hands-on session (I) + (A)
      • Listing resources (I)
      • Create a Server in the Cloud (I)
  • Description of use case scenarios and best-practise solutions (I)
    • The Compute Cloud for building container images (I)
    • The Compute Cloud for downloading data into DSS containers (I)
    • The Compute Coud for privacy preserving workloads: use case for biomedical applications (I) + (A)

Prerequisites

  • AI Training Series: Orientation Session
  • AI Training Series: Introduction to the LRZ AI Systems

Hands-On

During the course students will experiment with the LRZ Compute Cloud, create SSH key pairs, spin up and login to VMs on the LRZ Compute Cloud

Content Level

The content level of the course is broken down as:

Beginner's content:

2:30h

55%

Intermediate content:

1:30h

33%

Advanced content:

0:30h

12%

Community-targeted content:

0:00h

0%

Language

English

Lecturers

Dr. Juan Durillo Barrionuevo, Dr. Naweiluo Zhou (both LRZ)

Prices and Eligibility

The course is open and free of charge for academic participants from Germany.

Registration

Please register with your official e-mail address to prove your affiliation.

Withdrawal Policy

See Withdrawal

Legal Notices

For registration for LRZ courses and workshops we use the service edoobox from Etzensperger Informatik AG (www.edoobox.com). Etzensperger Informatik AG acts as processor and we have concluded a Data Processing Agreement with them.

See Legal Notices

Course AI Training Series - The LRZ Compute Cloud for AI Support
Number hdta5w23
Available places 83
Date 01.12.2023 – 01.12.2023
Price EUR 0.00
Location HYBRID: ONLINE/LRZ
Boltzmannstr. 1
85748 Garching near Munich
Room Kursraum 2
Registration deadline 24.11.2023 23:59
E-mail education@lrz.de
No. Date Time Leader Location Room Description
1 01.12.2023 10:00 – 16:00 Juan Durillo Barrionuevo
Johannes Albert-von der Gönna
Naweiluo Zhou
LRZ Events		 HYBRID: ONLINE/LRZ Kursraum 2 Lecture