This paper describes the design, development, and analysis of a MOOC entitled "Approaches to Machine Translation: Rule-based, statistical and hybrid", and provides lessons learned and conclusions to be taken into account in the future. The course was developed within the Canvas platform, used by recognized European universities. It contains video-lectures, quizzes, and laboratory assignments. Evaluation was through on-line quizzes, programming assignments assessed by means of a specific code evaluation, and peer-to-peer strategies. This MOOC allowed people from various fields to be introduced to the theory and practice of Machine Translation. It also enabled us to internationally publicize various tools developed at the Universitat Politècnica de Catalunya. Introduction 175In the context of Natural Language Processing (NLP), Machine Translation (MT) brings together varied communities from linguists to engineers. From the Universitat Politècnica de Catalunya (UPC), with more than 12 years of experience in the topic, we launched a MOOC that provides an overview of the basis for the most popular MT systems. Our main motivations for developing this course are listed as follows:• To improve the content and digital resources of MT.• To adapt an MT course to an international public.• To propose a course on a complete platform that is used by large European universities.• To use and publicize the open-source NLP tools developed at the UPC that are useful for the MT community.Although the MOOC we are describing is very specific to MT, it was well received, with over 772 students registering from all around the globe. The most relevant characteristic of the MOOC presented is its development under a low-resource scenario and its far-reaching marketing strategy using in-house low-budget tools. The MOOC was set up on the well-known Canvas platform, but customized to UPC requirements. In this sense, this paper extends our ongoing previous work (Costa-jussà, Formiga, Petit & Fonollosa, 2014) and describes the complete course, focusing on how the low-resource MOOC on the topic of MT has been developed, together with a deep analysis of the output of the course mainly in terms of participation. Therefore, this paper can be useful to professors and/or researchers that want to develop a MOOC on a fresh topic and independently from the big platforms. Among the different ideas that the reader can use, we provide details of how to: constitute a multidisciplinary group of people to develop the course; promote and motivate the course; proceed step-by-step for recording and preparing evaluation materials; and design and analyze the pre-and post-course surveys.The rest of this paper is organized as follows. Section 2 depicts a brief description in both coursesof MT with open material and already existing MOOCs under similar fields. Section 3 presents the course topic and contents. Section 4 describes the procedure for recording the video lectures and the promotional video, the functionalities of the Canvas platform, the MOOC team...