Self-Driving Car Engineer

Advanced
Starting at USD 1995.00
20 weeks duration

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.

About Provider

Udacity
Udacity
Online Education Provider · 302 courses
Description
Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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