Discover how machine learning (ML) is transforming weather prediction and climate science. Under the Destination Earth (DestinE) initiative, ECMWF is developing a new series of three online courses on machine learning for Earth system modelling, launching in the coming months.  

The courses offer a structured learning pathway, from foundations and context to advanced architectures and real-world applications, showing how ML complements physical modelling and supports next-generation digital twins of the Earth. 

Who is it for? 

Researchers, practitioners and technical specialists from a meteorological service, climate centre, academic institute, or industry. 

• Course 1 targets a broad audience of high-level information users and policy/decision-makers from European public and private sectors, academia, and industry. This course will also be of interest to a technical audience of non-ML meteorologists who want to be onboarded into the world of ML. 

• Courses 2 and 3 focus on technical users with a scientific background in Earth sciences and a basic familiarity with programming and a background knowledge of statistics. 

What you’ll gain: 

• A clear understanding of ML concepts in Earth system science 

• Insight into AI-based prediction systems (e.g. AIFS, hybrid models) 

• Practical exposure to data, architectures, and workflows used in DestinE 

• Awareness of ethical, regulatory, and societal aspects of AI applied to the Earth system  

Course 1: March 2026 | Online, self-paced | ~10 hours 
Courses 2 & 3: Mid–late 2026 | More advanced, hands-on content 

Interested? Show your interest by filling in this form: Machine Learning in Earth System Science – Fill out form 

You will receive an update when new learning materials or courses become available.  

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