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Efforts of many countries aimed at the development of the Internet of Things in agriculture can give little effect because of limited knowledge and practical skills, which are necessary for farmers to make decisions on investment into the technologies of Smart agriculture. Development of IoT educational programs is faced with challenging issues. Ageing: only 6 % of farmers in Europe are younger than 35 years. Distance: the vast majority of farmers have no opportunity to attend courses at the universities within weeks. Complexity: IoT in agriculture represents the multidisciplinary field in education including earth sciences, measurement and control technologies, telecommunication systems and data processing. Financing: the "must have" practical skills will help IoT users break a psychological barrier, however, creation of training grounds can involve big financial costs. The answer to these contradictory requirements is curriculum development based on the analysis of IoT business models and specialist models. The result of the work is the proposed set of problem oriented and audience oriented courses in the form of distance learning. Each course with duration of 20 hours contains lectures, practical training and a test. Lectures are devoted to relevant problems of IoT. For the practical training each trainee uses his/her own smartphone to convert it into the IoT device. With the help of step-by-step instruction a user can register his IoT device in the cloud service and switch on transmission of the smartphone movement or light sensor data for processing in a cloud. Data processing results can be viewed as feedback to smartphone and via web application. Successful implementation of the course tasks is confirmed by the graduation certificate. Regional adaptation and government support of farmers and training organizers are necessary for widespread introduction of courses.