NVIDIA, Udacity Team up to Teach Robotics

NVIDIA's Deep Learning Institute (DLI) has been named a curriculum partner for the second term of Udacity's Robotics Software Engineer Nanodegree program. Together, NVIDIA and Udacity will give students hands-on experience developing solutions to tough robotics and AI problems.

Photo Caption: NVIDIA's Deep Learning Institute has been named a curriculum partner for Udacity's Term 2 of Robotics Software Engineer Nanodegree program.

NVIDIA’s Deep Learning Institute (DLI) has been named a curriculum partner for the second term of Udacity’s Robotics Software Engineer Nanodegree program. Together, NVIDIA and Udacity will give students hands-on experience developing solutions to tough robotics and AI problems.

Students will learn how to build robots that understand the world around them, make decisions and plan next steps. Major focus areas will include robotic systems deployment, localization, Simultaneous Localization and Mapping (SLAM), reinforcement learning for robotics, and path planning and navigation.

The program will culminate with students building a simulated home service robot that can map, localize and navigate while performing household tasks.

As part of this partnership, Udacity students will receive an education discount on the NVIDIA Jetson TX2, an embedded AI computing device that is found in a range of drones, robots, and autonomous vehicles.

Nvidia committed to training 100,000 developers on how to carry out deep learning in 2017, which would be a 10-fold increase for the company.

Udacity’s Nanodegree programs currently have 53,000 students enrolled, with more than 18,000 grads, and more than 9 million students are enrolled across free and paid Udacity courses worldwide.

The first term of the robotics software engineer nanodegree was first offered in March 2017. Each term of the robotics nanodegree program takes 4 months to complete and costs $1,200 per term. Udacity says prerequisite skills for the robotics nanodegree include knowledge of foundational calculus, linear algebra, statistics, and basic physics, as well as experience with Python, C++, and machine learning.



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