The project encompasses research activities on 5G technologies involving machine intelligence, exemplified through experimentation environments using drones. New applications have been responsible for a large part of the increase in network traffic, which in the last 4 years has increased to about 140 exabytes. This increase in traffic, combined with the increased complexity of the network and the search for automatic solutions, motivates this project. It is based on the investigation of machine learning techniques to achieve a good cost-efficiency ratio in 5G network scenarios. The project has three main areas of scope: machine learning, 5G networks, and drone applications. More specifically, this project combines machine learning techniques in drones to establish a development platform for 5G solutions that require coordination and connectivity.