As education increasingly shifts towards a technology-driven model, artificial intelligence systems like ChatGPT are gaining recognition for their potential to enhance educational support. In university education and MOOC environments, students often select courses that align with their specific needs. During this process, access to information about the knowledge concepts covered in a course can help students make more informed decisions. However, manually constructing this knowledge concept information is a labor-intensive and time-consuming task. In this paper, we explore the capability of ChatGPT in generating relevant knowledge concepts from course syllabi and evaluate the accuracy and consistency of these AI-generated concepts against course content using four assessment techniques at both the concept level and course level. We investigate the feasibility of using ChatGPT-generated concepts as a direct educational resource, as well as their potential integration into broader educational technologies, such as interpretable course recommendation systems. [For the full proceedings, see ED665357.]