Dear applicant, 

    Please note that in order to apply for most of the courses listed below (but not all) you must be registered and logged in on this platform. Go to Log in (top right side of the screen) to log in or create an account. 

    From the list below, select the course you are interested in, fill in the application form and submit it. You will be contacted as soon as the selection of candidates is completed.

    To apply for the courses in the Short Courses on Data Discovery for Weather, Oceanography, Air Quality and Climate, please click here

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    • This satellite applications course in English language is suitable for forecasters in Africa, independent of their work experience. The course will consist of live sessions and discussions between more and less experienced forecasters. The focus is on basic interpretation of satellite images in weather rooms and in using widely available satellite products to get a better understanding of the daily weather. We will use the COMET MetEd Basic Satellite Imagery Interpretation Lesson to guide us through the basic use of satellite images.

      As a participant, you will develop professional relationships with other course participants, get connected to satellite professionals ready to help you to understand the basic satellite products and to become a proficient user of satellite products in your daily work.

      A successful completion of this course will make you better prepared for advanced level courses offered by the African training centres and EUMETSAT for African users.

      The duration of this course is three weeks. The participants should reserve minimum 4 hours each week for going through the learning resources, attending the live meetings and completing assignments.

      15 May - 2 June 2023, online

      Applications open: 1 March 2023

      Application deadline 30 April 2023.

      Ver apenas 'Tópico 1'
    • Ce cours sur les applications satellitaires en langue française est destiné aux prévisionnistes en Afrique, quels que soient leur niveau d'expérience professionnelle. Le cours comprend des sessions et des discussions en direct entre des prévisionnistes de différents niveaux d'expérience. L'objectif principal est de se concentrer sur l'interprétation de base des images satellitaires dans les centres météorologiques et l'utilisation des produits satellitaires largement disponibles pour améliorer la compréhension de la météo quotidienne. Nous utiliserons le cours "Interprétation de base de l'imagerie satellitaire" de COMET MetEd pour guider l'utilisation de l'imagerie satellitaire de manière efficace. 

      En tant que participant, vous aurez l'opportunité de développer des relations professionnelles avec les autres participants du cours. Vous serez également mis en contact avec des professionnels du domaine satellitaire qui vous aideront à comprendre les produits satellitaires de base et à devenir un utilisateur compétent de ces produits dans votre travail quotidien. 

      Si vous terminez avec succès ce cours, vous serez mieux préparé pour suivre les cours de niveau avancé proposés par les centres de formation africains et EUMETSAT destinés aux utilisateurs africains.

      La durée de ce cours est de trois semaines. Les participants doivent consacrer au moins 4 heures par semaine à la consultation des ressources d'apprentissage, à la participation aux réunions en direct et à la réalisation des devoirs.

      15 mai - 2 juin 2023, en-ligne

      Ouverture des candidatures : 1er mars 2023

      Date limite de dépôt des candidatures : 30 avril 2023.

      Ver apenas 'Tópico 2'

    • This course is an introduction to Artificial Intelligence (AI), Machine Learning and Deep Learning applied to Earth observation data. The aim of the course is to provide an overview of machine learning potential for EUMETSAT data and the main machine learning techniques, with hands-on modules using real world data. The course is composed of different modules, addressing both theory and practical examples.

      Dates and location:  23 - 25 May 2023, in Darmstadt, Germany
      Deadline for applications: 19 March

      We will cover: 

      • the main branches of machine learning: Supervised and Unsupervised Learning.
      • Deep Learning.
      • Existing open source tools.
      • How to build AI workflows.
      • Hands on: classification, regression, clustering and image classification tasks.

      Target Audience

      Member State weather and associated services starting to work in AI/ML on weather data.
      The course is aimed at people with little prior knowledge. You will need to be comfortable to edit some python using Jupyter notebooks. 

      Expected outcomes
      At the end of the course you will be able to:

      • understand how to address your problem using machine learning techniques;
      • create your own workflow based on the templates provided in the course;
      • find tools from the various existing libraries;
      • appreciate the limitations of you knowledge and where to find expert knowledge. 

       How to apply

      If you already have an account on this platform, use the link below to submit your application form.
      Otherwise, please make sure you create an account: click on Login (on the top right section of the page), create a new user (Create an account), and follow the procedure. With your new account, please log in, then access the 'Apply for Courses' section, and submit your application form.

      In case of any problem, please contact the training team at

      Ver apenas 'Tópico 3'
    • In partnership with the Finnish Meteorological Institute (FMI), EUMETSAT offers a testbed to prepare Aviation Forecasters for using data from the new Meteosat Third Generation (MTG) satellite programme in their operations. 

      The FMI aviation testbed simulates an on-site operational meteorological forecasting environment, enhancing the skills of aviation forecasters in using EUMETSAT satellite data and products in aviation services. FMI will use the GEOWEB environment to run the training testbed, providing the full suite of typical products from models to observations, including in particular satellite-based products on icing potential as well as fog/low clouds and visibility. 

      During the testbed, forecasters first receive theoretical background on the products, then produce on-the-spot forecasts and nowcasts based on selected cases, using a mix of new nowcasting and forecasting tools, followed by a verification and discussion.

      Particular focus will be given to the use of proxy-MTG satellite data (e.g., from the NASA MODIS, NOAA VIIRS and Sentinel-3/OLCI instruments) and, if available, early pre-operational data from the next-generation Flexible Combined Imager on MTG.

      The testbeds are part of the EUMETSAT-led User Preparation projects for MTG and EPS-SG.

      Target group: 

      Forecasters from the EUMETSAT Member States who train other forecasters, with a strong background in aviation meteorology. 


      • 30 October – 2 November 2023 

      Weekly schedule

      • Monday: 11:00 - 17:00
      • Tue - Thursday: 09:00 - 17:00 


      FMI headquarters in Helsinki, Finland

      Candidates need to come from EUMETSAT Member States and have a nomination by their home institution. For accepted candidates, EUMETSAT plans to sponsor the cost of testbed attendance and, upon request, the cost for travel, accommodation and subsistence.

      How to apply:

      If you already have an account on this platform, use the link below to submit your application form.

      Otherwise, please make sure you create an account: click on Login (top right section of the page), create a new user (Create an account) and follow the procedure. Once the account has been created, please log in, then access the 'Apply for Courses' section and submit your application form. If you have any problem, please contact the Training Team (

      Ver apenas 'Tópico 10'
    • To apply for the courses in the Short Courses on Data Discovery for Weather, Oceanography, Air Quality and Climate, please click here

        Ver apenas 'Tópico 12'