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Computer vision is one of the major tasks and applications of artificial intelligence (AI). Gaining hands-on experience is therefore of great importance for future AI developers. In the Tracking Olympiad, students use the latest object detection and tracking algorithms to track a freely, randomly moving object ("HexBug") in a given arena. The students will be provided with a set of videos that contain the ground-truth positional information and implement an own tracking technique. At the beginning of the seminar, all students are divided into teams that compete with each other to find the best strategy for tracking the HexBug. The team's tracking prediction needs to be an algorithm that incorporates each student's tracking algorithm. The team's score will be evaluated by applying the team's tracking algorithm to previously unseen/withheld videos. Further, the team acquires and annotates own data to improve their tracking algorithms. Each team selects videos that are tested by the other teams' algorithm and are subsequently ranked similar to a soccer league table. The aim of this seminar is to enable each student to have an own AI-powered tracking algorithm that is an integral part of a team solution. The Tracking Olympiad consists of two sessions in a given week, one with a journal club explaining AI tracking concepts by students and one for open Q&A depending on the individual student's progress with voluntary developmental time.