Course Introduction

Welcome to Artificial Intelligence for Earth Monitoring!

In this course you will discover how cutting-edge artificial intelligence and machine learning technologies are helping to advance Earth observation science and the benefits that this will have for citizens.

The course will provide you with an overview of the different types of AI and ML and the fundamental techniques of working with AI algorithms for analysing satellite-based Earth observations and in-situ data. You will also be able to work with hands-on tutorials using Jupyter Notebooks so you can see for yourself how AI works.

The course will cover four thematic areas: oceans, atmosphere, land and climate. You will be able to see how AI and ML are being used in these areas to develop a new generation of Copernicus Earth observation products and services.

The main topic videos are the backbone of this course and you can re-watch them as much as you need. For further context and more detailed explanations, you can also read the introductory text provided with each video, explore the optional further reading links and take an in-depth look at the information about the data, imagery and satellites provided in each topic.

The course videos begin with Topic 1a in Step 1.6. Over the next few steps we have provided more information about the course educators and how to get the most out of the course.

If you talk about the course on social media you can tag your comments #AI4EarthMonitoring