Training
MLOps on HPC
1 Dec 2026 09:00 - 13:00
Machine learning is becoming increasingly important in many fields, and topics such as reproducibility, data management, and data visualization are essential for any machine learning project.
This training will teach you how to use MLOps frameworks to manage your machine learning projects, how to handle data and workflows.
Practical information:
1 Dec 2026 09:00 - 13:00
4
hours
ICTS KU Leuven (hybrid), Willem de Croylaan 52/bus 5580, 3001 Leuven
English
Target audience: This training is for you if you need to manage machine learning workflows on HPC systems.
Want to register?
- Prerequisites: You will need experience running machine learning workloads in Python or R. You will also need to be comfortable on the command line and have some experience using the git version control system.
- Price: Free
Georganiseerd door:
Topics covered:
- introduction and motivation
- setting up a git repository for ML
- versioning data using DVC
- defining a workflow with DVC
- comparing experiments using git & DVC
- tracking experiments using DVC Live
- wrap up
When you complete this training you will:
- be able to use DVC to version your data;
- be able to define pipelines with DVC;
- be able to use DVC to manage your machine learning projects;
- be able to reproduce your machine learning experiments.