Engineering and Technology
Learn the techniques that power self-driving cars across the full stack of a vehicle’s autonomous capabilities.
In the Self-Driving Car Engineer course on Udacity, you will develop critical Machine Learning skills used in autonomous vehicle engineering. You will learn about the entire life cycle of a Machine Learning project, from problem framing to model training. The course focuses on computer vision and processing raw digital images for algorithms like neural networks. You will build convolutional neural networks using TensorFlow and learn object classification and detection. Additionally, the course covers sensor fusion, object detection in an urban environment, localization using lidar sensors, path planning, and control techniques for autonomous vehicles. By the end of the course, you will have a comprehensive understanding of the work of a Machine Learning Engineer in the context of self-driving cars.
by Udacity
Learn the techniques that power self-driving cars across the full stack of a vehicle’s autonomous ca...
by Udacity
Identify key parts of self-driving cars, utilize Apollo HD Map, localization, perception, prediction...
by Udacity
Learn the in-demand skills of computer vision, a growing field of AI, that empower advancements in r...
by Udacity
This introductory program is the perfect way to start your journey into the future of transportation...
by Udacity
Learn topics such as microservice architecture patterns, independent scaling, resiliency, and more.