The lack of educational programs in Precision Agriculture (PA) has been reported as one of the barriers for adoption. Our goal was to improve professional competence in PA through education in crop variability, management, and effective practices of PA in real cases. In the last 20 years different efforts has been made in Argentina to increase adoption of PA. The Universidad Nacional de Rio Cuarto (UNRC) launched in 2021 the first University Diploma in PA, a 9-month program to train agronomist in Argentina. The training program was organized in four modules with a total of 230 hours. The objective of the program was to develop skills in precision agriculture and data analysis tool to implement site specific management. Module I served as an introduction to PA, Module II included precision agriculture equipment and a seminar with agronomists providing PA services. Module III focused on practical geo-statistics, analysis of variable rate research trials, and econometrics for PA. The program concluded with Module IV, and integrated project where students presented a case study with defined farmer’s management goals and needs. In this module students developed a pipeline of work using PA tools to address farmer’s goals and they quantified the value of applying PA techniques.  Students presented their case study with live broadcasting to the public. A UNRC proprietary digital learning platform was implemented to coordinate the whole program. This was the first Diploma in PA organized and taught by a National University in Argentina. Professors belonged to UNRC, Instituto Nacional de Tecnología Agropecuaria (INTA), Universidad Católica de Córdoba, and the Universidad Nacional de Córdoba and Consejo Nacional de Ciencia y Tecnología (CONICET). A total of 32 agronomists graduated in December 2021. A survey conducted at the end of the program showed that resources for statistics education and site-specific crop management at a graduate level are not limiting right now, since precision technology is continually improving and becoming more accessible. Teaching PA will be further supported by the data and digital age. There is a need to develop more integrated training programs such as the one presented here, with a holistic view of PA on how it can be applied to increase the sustainability and productivity of current and future food production systems.