Overview
Coming soon – Autumn 2026
This third course in the Destination Earth Machine Learning for Earth Systems Modellingtraining series focuses on advanced applications of machine learning (ML) in weather, climate, and Earth-system science. Building on Courses 1 and 2, this advanced online course explores how machine learning is being applied across the full Earth-system modelling workflow, from operational forecasting, coupled atmosphere–ocean–land systems, downscaling, and data assimilation to hybrid AI–physics approaches, end-to-end modelling, and emerging foundation-model paradigms.
This free online course combines expert lectures, practical examples, applied notebooks, and community discussions using real-world Earth-system modelling examples relevant to Destination Earth (DestinE). Learners will explore current research directions, practical implementation challenges, operational readiness, and the evolving role of AI in Earth-system prediction.
Course information and registration
Duration: 6-8 weeks
Estimated study load: 16 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 course is intended for advanced technical learners with a background in weather, climate, or Earth system sciences. The course is particularly relevant for:
Participants are expected to have the following prerequisite knowledge:
Prior completion of the following courses is strongly recommended, but not required:
Course Content
- Announcements