Training

Learn at your own pace

Prefer to learn on your own schedule? Access a comprehensive selection of self-paced learning resources, including eLearning modules, recorded masterclasses, videos, GitHub repositories, and more. Whether reviewing fundamentals or exploring advanced subjects, you can structure your learning to fit your goals and availability. Show all resourceschevron_right

Attention and sequence modelling

Attention and sequence modelling

Matthias Karlbauer introduces Transformer neural network, from the architecture to its use in society and for climate...
Generative modelling of atmospheric fields

Generative modelling of atmospheric fields

Sophie Xhonneux introduces deep generative models, covering core concepts and two key approaches and why they matter for...
Neural Networks for Deep Learning

Neural Networks for Deep Learning

Mario Santa Cruz Lopez walks through the fundamentals of neural networks and deep learning — from neurons and layers to...
Self supervised representation learning

Self supervised representation learning

Christian Lessig, Team lead for ML modelling at ECMWF, unpacks self-supervised learning exploring why it has become...