The goal of this work is to build a low cost pedagogical device able to improve the comprehension of weather phenomena for African students in particular and in general for students across the world. This experimental and didactic device can be seen as an easy teaching tool to measure meteorological and climatic data. This structure is called a micro weather station. The investigation is done in Metipkwale one of the village of Ebolowa town in Cameroon (Central Africa). Some weather data automatically obtained from the micro weather station (sensors) such as temperature, humidity and pressure, are directly transmitted by a modem (Wi-Fi connection) to the ThingSpeak platform in order to be registered online and plotted as a diagram. The illustration process is assured by a computer or a smartphone. Moreover, the prediction process of climatic behaviour and the reactions of students have been also outlined. Further, some notions such as Internet of Things and Deep Learning associated with exponential smoothing algorithms are also presented.