The combination of OER with analytics-based personalized learning tools can benefit learning in significant ways by increasing faculty-student engagement, supporting independent learning and facilitating data-driven content improvement. Carnegie Mellon University’s Open Learning Initiative (OLI) offers its next-generation platform, Torus, to transform how to build, customize, and improve courses, especially those that use OER as base content, and deliver those experiences at little or no cost to students. Central to Torus is a unique approach to designing courses, focused around learning models, data-generating design, and iterative improvement. OLI has created The Learning Engineering Fellowship Program (LEFP), to upskill learning designers and faculty to use evidenced-based design and teaching methods when working with OER materials for course creation in Torus. OLI delivered the first offering of the LEFP to a cohort from the State University of New York (SUNY), piloted in cooperation with SUNY OER Services (SOS) and the SUNY Center for Professional Development (SUNY CPD), and plans to iterate and deliver the LEFP to the larger community in the coming years. This workshop is for intermediate and advanced learning designers and faculty who build their own course materials. In this session, we plan to take participants through a mini-LEFP experience by engaging in active discussion, polls, and data analysis exercises so that participants: walk away with a sense of the learning engineering skills that the LEFP targets, practice with the types of learning analytics Torus generates, and to become more deeply-immersed in the larger community of practice.