Supercomputing Academy: Deployable Data Analysis & AI Pipelines with HPC

This course is designed for practitioners in SMEs, startups, and applied research teams who need to turn data into actionable insights and repeatable, deployable ML workflows using high-performance computing (HPC) resources. Participants will learn practical patterns to build reproducible and scalable analytics and ML pipelines that remain reliable under real-world constraints, including messy data, growing volumes, performance bottlenecks, and execution across heterogeneous compute environments.

  • Online
  • Flexibel nebenher
  • English
  • 5 Wochen
  • Weiterbildungskurs mit Prüfung

Kurz informiert

Unter der Leitung von

Junghwa Lee (HLRS)  and Dr. -Ing. Lorenzo Zanon (HLRS) 

Ein Angebot der:

Zielgruppe

Für Sie ist diese Weiterbildung

This course is intended for, but not limited to:

  • HPC users who want to run modern data analytics and ML workflows efficiently on shared compute infrastructure.
  • Engineers and researchers who need practical skills in data preparation, supervised ML, deep learning fundamentals, and scalable processing.
  • Industry data roles, including data analysts/scientists, data engineers, ML engineers, and platform/AI infrastructure engineers who want to move from prototypes to repeatable, scalable pipelines.
  • Professionals who want to stay up-to-date with Big Data, HPC, and modern AI trends.

Voraussetzungen

Das sollten Sie mitbringen

Prerequisites

  • Working knowledge of Linux/Unix: shell commands, SSH, file permissions, directory structure, and basic script editing (nano/vim/emacs).
  • Basic Python skills (or strong experience in another language such as C/C++/Fortran/Java and the ability to ramp up quickly).

Recommended (not required)

  • Basic Git usage (clone/commit/branch)
  • Familiarity with typical data/ML libraries (numpy, pandas, matplotlib, seaborn) and Jupyter Notebooks.
  • Familiarity with virtual environments (venv/conda) or containers.

Weitere Informationen

Interessiert? So geht es damit weiter.

Kommende Termine

07.09.2026 - 09.10.2026Online
1.690,00 €
Anmeldung bis 30.08.2026

Haben Sie Fragen?