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Learner Reviews & Feedback for AI for Autonomous Vehicles and Robotics by University of Michigan
35 ratings
About the Course
In this course, you will delve into the groundbreaking intersection of AI and autonomous systems, including autonomous vehicles and robotics. “AI for Autonomous Vehicles and Robotics” offers a deep exploration of how machine learning (ML) algorithms and techniques are revolutionizing the field of autonomy, enabling vehicles and robots to perceive, learn, and make decisions in dynamic environments. Through a blend of theoretical insights and practical applications, you’ll gain a solid understanding of supervised and unsupervised learning, reinforcement learning, and deep learning. You will delve into ML techniques tailored for perception tasks, such as object detection, segmentation, and tracking, as well as decision-making and control in autonomous systems. You will also explore advanced topics in machine learning for autonomy, including predictive modeling, transfer learning, and domain adaptation. Real-world applications and case studies will provide insights into how machine learning is powering innovations in self-driving cars, drones, and industrial robots. By the course's end, you will be able to leverage ML techniques to advance autonomy in vehicles and robots, driving innovation and shaping the future of autonomous systems engineering.
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1 - 6 of 6 Reviews for AI for Autonomous Vehicles and Robotics
By Saptajit B
•Apr 17, 2025
Notes provided in this course are very good
By YELLATURI M
•Jul 28, 2025
GOOD AND EXCELLENT AND VERY VERY GOOD
By Muhammad T
•Feb 15, 2025
Amazing Course
By TAHIROU D M
•Jul 18, 2025
super cool
By Yecheng W
•Aug 5, 2025
Generally good. From Module 1 to 3, it is gradually getting more difficult and requiring more knowledge and concentration. Maybe it can be more technical oriental rather than conceptional.
By Aryan C
•Jul 2, 2025
very vague and uninspiring...prof seems to be uninterested in the material he's teaching and simply reading off the slides