HammerHAI Training Catalog

Explore the HammerHAI training catalog and find modules that match your interests, goals, and level of experience. This catalog provides an overview of available and planned training modules developed within HammerHAI. The courses are organized into thematic tracks and offer different skill levels: Beginner, Intermediate, and Advanced. You can combine modules from different tracks and levels to create your own learning path, depending on your goals and institutional needs.

Explore our current and upcoming courses:

All courses

AI Literacy, Ethics, and Administration
AI Competence Training
Effectively Utilize AI Tools in Research
KI Kompetenz Training
KI in der Verwaltung: Eine Einführung in die Nutzung für alle Mitarbeiter*innen
KI-Kompetenz für Unternehmen 1: Grundlagen und Begriffe der KI
KI-Kompetenz für Unternehmen 2: KI-VO erklärt
KI-Kompetenz für Unternehmen 3: Hands-on generative KI und ihre Risiken
AI Ethics Lecture: Artificial Intelligence and Ethics
AI Ethics Lecture: Privacy is not Power, but what is?
AI Ethics Lecture: Technical Responsibility and Ethical Methods
Agentic AI Web-Seminar (jointly with UKAIFA)
Research Data Analysis and Scientific Workflows
Introduction to the AI Systems
Basic Linux, Ethics & Security Training for HammerHAI Users
Data Analysis with HPC
Data Analytics for Engineering Data using Machine Learning (in collaboration with Fraunhofer)
Data Management Concepts for Efficient and User-Friendly HPC
Data Management Course
Introduction to Container Technology & Application to AI Systems
Time Series Forecasting
Using Data Pools for Scientific Data Sharing
Data management for HammerHAI using piveau
Deployable Data Analysis & AI Pipelines with HPC
Machine Learning Operations at the HammerHAI infrastructure
Deep Learning and Scalable AI Development
Fundamentals of Deep Learning
Deep Learning with GPU Cores
MLOps Training tailored to HammerHAI
Data Parallelism – How to Train Deep Learning Models on Multiple GPUs
Deep Learning Bootcamp: Building and Deploying AI Models
Model Parallelism – Building and Deploying Large Neural Networks
Multi-GPU Deep Learning
Performance Engineering in ML Workloads Using Score-P and Vampir
Performance Engineering Tools for AI and HPC Workloads
Profiling AI Software Bootcamp
Scaling Deep Learning – From Single GPU to Clusters
Specialised AI and Domain-Specific Applications
European AI Hackathon
Introduction to AlphaFold
Natural Language Processing
PaperHAI Journal Club
AI for Science Bootcamp
European Agentic AI Bootcamp
Introduction to Neuromorphic Computing and the SpiNNaker Hardware Platform
SME and Innovation-Oriented Pathway
Effectively Utilize AI Tools in Research / Business
European AI Hackathon
Introduction to Container Technology & Application to AI Systems
Selected modules in Natural Language Processing and data analytics
hub:disrupt Hackathon: KI-Fabrik der Zukunft
X-ATHON – Künstliche Intelligenz praktisch erlebbar machen
European Agentic AI Bootcamp
A hand reaching for an abastract visualization of a neural network and touching one of the nodes causing it to emit light.

About Our Training

Our training modules are delivered by expert instructors from the HammerHAI consortium and supported by AI experts, with a focus on practice-oriented formats. We also collaborate with external experts to develop and deliver selected courses, expanding the range of our training offering.

Our training catalogue is continuously updated with new modules and improved content, ensuring it reflects current needs, feedback, and developments in the field or artifical intelligence.

Courses are primarily offered in English, with selected modules also available in German, as indicated by the course titles. In some cases, courses may be delivered in either language.

On Demand Training

HammerHAI’s On-Demand Training delivers customized, practical AI training that gives companies and associations exactly the skills they need, delivered how, where, and when they need it.

Interested in learning more?

We look forward to hearing from you.

Group of people discussing in a conference room.

Funding

The acquisition and operation of the EuroHPC Al-optimised supercomputer is funded jointly by the EuroHPC Joint Undertaking, through the European Union’s Digital Europe Programme, as well as by the German Federal Ministry of Research, Technology and Space (BMFTR) and the Baden-Württemberg Ministry of Science, Research and the Arts.

Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the EuroHPC JU. This project has received funding from the European High Performance Computing Joint Undertaking under grant agreement No. 101234027. It is co-funded by the European Commission, the German Federal Ministry of Research, Technology and Space (BMFTR), the Baden-Württemberg Ministry of Science, Research and the Arts, the Bavarian State Ministry of Science and the Arts and the Lower Saxony Ministry of Science and Culture.

Logo of the Federal Ministry of Research, Technology and Space of Germany. A black eagle icon (coat of arms of Germany) on the left, a vertical strip in the colors of the German flag (black, red, yellow) to the right of it and even further to the right the wordmark "Bundesministerium für Forschung, Technologie und Raumfahrt".
Logo of the Federal Ministry of Research, Technology and Space of Germany. A black eagle icon (coat of arms of Germany) on the left, a vertical strip in the colors of the German flag (black, red, yellow) to the right of it and even further to the right the wordmark "Bundesministerium für Forschung, Technologie und Raumfahrt".