This paper describes the design, development and analysis of a MOOC entitled “Approaches to Machine Translation: rule-based, statistical and hybrid” providing lessons learnt on conclusions to be take into account in the future. The course was developed within a Canvas platform, used by recognized European universities. The course contains video-lectures, quizzes and laboratory assignments. Evaluation is done across on-line quizzes, programming assignments (PAs) evaluated by means of a specific code evaluation and peer-to-peer strategies. This MOOC allows to introduce people from various areas to the Machine Translation theory and practice. It also allows to internationally publisize different tools developed at the Universitat Polit`ecnica de Catalunya.