Overview
Coming soon – June 2026
This second course in the free DestinE Machine Learning for Earth Systems Modelling training series focuses on the technical foundations of machine learning for weather prediction. It builds on Course 1 and covers in depth how modern AI-based prediction systems are designed, trained, and evaluated.
This free online course combines conceptual explanations with practical examples, using real-world datasets and workflows relevant to Destination Earth.
Course information and registration
Duration: 6-8 weeks
Estimated study load: 20 hours
Format: Online course, primarily asynchronous
Participation: free and open to anyone interested
If you are interested in taking the course, you can already register your interest by logging in and enrolling at the bottom of this page.
Target audience and prerequisites
This free online course is intended for technical learners with a background in Earth system sciences or related fields.
Participants are expected to have basic programming experience (preferably Python) and familiarity with statistics and introductory machine learning concepts. They are also expected to be able to interpret geophysical datasets and have experience in meteorology, climate science, Earth systems modelling or related disciplines.
Prior completion of Course 1 – Foundations and New Frontiers is recommended but not required.
Course Content
- Announcements
- 1 Foundations of ML for Weather Prediction
- 2 Neural Architectures for Atmospheric Dynamics
- 3 Datasets, Data Handling & Preprocessing
- 4 From data to model: Compute & Infrastructure for ML Forecasting
- 5 AI Forecasting Systems
- 6 Uncertainty Quantification
- 7 Evaluation Frameworks & Benchmarking
- 8 Anemoi: A European Framework for Data-Driven Weather Forecasting
- 9 Discussion Events & Wrap-up