In this first tier of our MOOC on Machine Learning (ML) in Weather and Climate, we give a broad overview of the key concepts ML and its applications in recent years to topics from forecasting and data assimilation to post-processing, observations and computing. This course is aimed as an introduction, which is accessible to those with an interest in ML, weather and climate, but without necessarily requiring a very technical background. This course features a mixture of interactive modules, webinar recordings, quizzes, podcasts and code examples. Please note that this course ran live in early 2023 and reflected the state of the art at that point in time.

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