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Machine Learning for Earth Observation – Training of Trainers Bootcamp in Africa

Together with the AI and data science research group at Makerere University in Uganda, the Radiant Earth Foundation announces its “Machine Learning for Earth Observation” Training of Trainers bootcamp for professionals from Uganda, Rwanda, Ghana, and South Africa. This is an exclusive training event made possible with the support of FAIR Forward, which is implemented by Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH on behalf of the German Ministry for Economic Cooperation and Development (BMZ).

The bootcamp aims to identify and develop a community of African regional experts that can collaborate on solutions to the continent’s needs and problems. Forty participants will be selected competitively to attend this 2-week training at no cost to the trainees. Certificates will be awarded after graduates train five other individuals.

Course dates: March 22 – April 2, 2021

Duration: 2-weeks, online, 20 hours per week

Learning Objectives:

  • Establishing a baseline understanding of machine learning and Earth observation
  • Learning how to access EO data for ML applications and generating insights from it
  • Building machine learning models such as crop type and land cover classifications
  • Learning how to be a successful trainer

Course format: Online lectures, group settings, and hands-on exercises

Audience: Entry-level data science or remote sensing practitioners. New graduates or Ph.D. students specializing in EO and/or ML.

Cost: Free for those selected


Please see the bootcamp’s details and registration information below, and feel free to pass it along to any potentially interested candidate.