Udacity Computer Vision

Become a Computer Vision Expert Master the computer vision skills behind advances in robotics and automation. Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models.

Computer Vision is a specialized branch of Artificial Intelligence focused on enabling machines to visually perceive the world, and respond to it. As with human vision, this is a process of taking in visual information, analyzing and processing that information, and correctly identifying objects contained within that information.

Lead the development of cutting-edge Edge AI applications for the future of the Internet of Things. Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision & deep learning inference applications..

If your goal is to learn the skills necessary to become a self-driving car engineer, and then secure a rewarding role in the field where you can start applying those skills, this program is the ideal choice. The Self-Driving Car Engineer Nanodegree program is one of the only programs in the world that both teaches you the right skills, and supports you in obtaining a job.

This course will cover probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics.

With just minimal programming experience, you can learn the essentials of building a self-driving car. You’ll discover how to solve problems in both Python and C++ as you explore what makes self-driving cars possible. Plus, graduates earn guaranteed admission into our career-ready Self-Driving Car Engineer Nanodegree program!

his class, taught by one of the foremost experts in AI, will teach you basic methods in Artificial Intelligence, including: probabilistic inference, computer vision, machine learning, and planning, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.