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NVIDIA teams up with Udacity to create Robotics course




With the advent of AI and the pace at which the robotics industry is growing, NVIDIA’s Deep Learning Institute has collaborated with online education website Udacity to create a Robotics Software Engineering Nanodegree Program.

Students of the program will learn things like robotic systems deployment, simultaneous localization and mapping, and path planning and navigation.

Aside from a hands-on experience with software, they will also learn about the hardware aspect of robotics. This includes NVIDIA’s Jetson TX2 platform.

The Jetson is a small, low-power AI supercomputer that can be used to power autonomous machines.

If you’re interested in applying for the program, you will need quite a few foundational skills. You will need an understanding of foundational calculus, linear algebra, probability, statistics, basic physics, and intermediate Python and C++. A knowledge of machine learning techniques is not required, but is highly recommended.

Additionally, NVIDIA is holding the Jetson Developer Challenge, where contestants are challenged to show how they can apply an AI solution built on NVIDIA Jetson, in industries like robotics, healthcare, security, etc. Click here for more details.

To apply for Udacity’s Robotics Software Engineering Nanodegree program, click here. You will need to take a few prerequisite tests. Deadline for applications is December 12, invitations for those accepted will be sent out on December 20, and class will begin on January 11, 2018.

 



Joey graduated with a degree in Digital Filmmaking from the De La Salle – College of Saint Benilde last March 2017. A filmmaker by heart, he has since put aside cinema to focus on his other passion, technology. PCs, mechanical keyboards, audio, cameras, and gaming are among his biggest tech interests.

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