The emergence of Cloud Computing, Big Data, and Data (Intensive) Science as specialized fields in computing is motivating development of new books and courses to provide education in the techniques and technologies needed to extract knowledge from large datasets in virtualized environment. In current literature there is a lack of centralized learning resource for beginners that would integrate administrative, programing, and algorithm design aspects of related domains. We believe it is important to allow students, researchers, and professionals to understand cross-domain aspects of these challenges before they embark on further exploration of these fields. The IEEE Cloud Computing Initiative and the Research Data Alliance support for this workshop will bring together wider community of scientists, researchers and practitioners and will serve as a meeting point for all working on or interested in this area. The workshop will be organizationally sponsored by the Horizon2020 project EDISON funded by European Community to coordinate Data Science curricula development in Europe and international harmonization. We plan to accept a small number of high quality contributions for extended presentations including tutorial elements. At the end of the workshop a forum discussion is planned to debate on future directions of curricula and teaching methods in Cloud Computing, Big Data, and Data Science