Keimyung University Lecture

From July 29 (Mon) to August 2 (Fri), Keimyung University held a course on AI and autonomous driving, encompassing a wide range of topics—from the theoretical foundations of AI to practical autonomous driving programming exercises. The aim was to provide students with a real-world learning experience that bridges classroom theory with hands-on application.

The course began with an overview of AI concepts, historical background, and current industry trends across various sectors. Rather than merely listing technical principles, the lectures used real-world case studies to illustrate how AI learns from data and makes decisions independently.

During the practical sessions, students got to design and test autonomous driving algorithms using AWS DeepRacer. By training reinforcement learning models in the DeepRacer console and then deploying these models on a miniature racing track, participants experienced a seamless link between theory and practice, gaining an understanding of how AI algorithms operate in physical environments.

Additionally, the course addressed problem-solving techniques in programming, encouraging students to iteratively refine their trained models and troubleshoot any obstacles. Through this process, participants developed logical thinking and collaboration skills, both of which are essential in AI and autonomous driving fields.