During Course "Human Tracking with Driverless Cars", which continues the driverless cars topic introduced in Course "Build a Lane Following Driverless Car", students will be able to study how to harness the power of Machine Learning and Computer Vision to make their wheeled robot capable of detecting humans in front of it and following them. Students will firstly continue to study driverless cars and challenges that they face on the way to full autonomy, while getting introduced to Machine Learning and how it assists with modern applications, especially for human detection. Then, Python commands and functions of OpenCV and our Machine Learning framework are taught, so that the students become familiar with some processes that are used for this course's challenge. Finally, students are presented with the challenge of using our Machine Learning framework to visually detect humans in front of the wheeled robot and follow it.