The sessions provided an in-depth overview of the DEA platform, introducing participants to its extensive range of datasets, products, and services. A particular focus was placed on the wetlands inventory module, which enables the generation of up-to-date, satellite-derived information to support informed environmental decision-making. Participants gained practical experience using various components of the DEA wetlands inventory mapping tools. This included training data preparation, where they learned to balance datasets through stratified sampling; terrain indices from Digital Elevation Models (DEMs), which involved deriving terrain and hydrological features; and feature extraction, focused on collecting relevant Earth Observation and derived data for analysis. Additionally, they were guided through building Random Forest classifiers during the training classification algorithm module and applied these models in the wetland type classification process. These hands-on exercises allowed participants to not only understand the technical capabilities of the DEA platform but also to apply them in real-world scenarios, particularly in the context of wetland monitoring around Lake Naivasha and other selected areas.