AI for Earth Monitoring MOOC
EUMETSAT, ECMWF, Mercator Ocean International and the EEA have jointly developed a new massive open online course (MOOC) on Artificial Intelligence (AI) and Earth monitoring.
prefix: This six-week online course funded by the Copernicus Programme is especially meant for scientists, policy/decision makers, journalists, educators, business owners, and students interested in data science combined with Earth observation and machine learning.
Artificial intelligence and machine learning (ML) are undoubtedly becoming more and more present in our daily lives, proving important contributions to different fields, like farming, healthcare, and finance, to name a few. In a fast-changing and critical time for Earth Observation (EO), especially for those involved in its use for climate and meteorology, there is huge potential for AI and ML.
This new MOOC starting October 18th offers you a comprehensive overview of the Copernicus Programme and the wealth of EO data it provides, as well as how AI and ML are transforming the interpretation of EO data. Registration is now open!
With more than 40 contributors, the course will introduce artificial intelligence (AI) and
machine learning (ML) in the EU Copernicus Programme. Different experts will provide an overview of AI and ML types, technology, and terminology, as well as introduce new ways of working with this data using AI and ML techniques.
Free access to Earth observation data
You will be able to access Earth observation data and work with it through the WEkEO platform. The course will offer hands-on learning using the Python programming language and Jupyter Notebooks to process and analyse EO data using ML.
Practice on Jupyter Notebooks
Throughout the MOOC you will expand your knowledge on Artificial Intelligence for Earth Monitoring and you will be able to acquire practical skills thanks to WEkEO’s Jupyter notebooks. In fact, in addition to a rich amount if video content, our MOOC includes a series of specially-developed Jupyter Notebooks that will guide you through the process of working with Copernicus data and new and exciting machine learning algorithms.
The notebooks are put together using Python; to make it easier to follow them, they are accompanied by dedicated video tutorials that have been produced to explain the content of the notebooks.
For the hands-on Jupyter Notebook tutorials, you will need to create an account on WEkEO, as this service is available to all registered users for free. We recommend you use a computer to access this.