Building robots isn’t just a hobby anymore. Now you can build a career creating the software that will make bots better.
Step one: enrol in Udacity’s Robotics Software Engineer Nanodegree programme.
NVIDIA’s Deep Learning Institute is now working with the online learning provider to develop a programme that will immerse students in the field of robotics, giving them career-ready skills.
Udacity Nanodegree programmes currently have 53,000 enrolled students, with more than 18,000 grads. Its free and unpaid courses have more than nine million enrolled students worldwide.
How to Get a Job in Robotics? Let NVIDIA and
Udacity Train You
to Create Software
SINGAPORE — December 1, 2017 — Building robots isn’t just a hobby
anymore. Now you can build a career creating the software that will make bots
better.
NVIDIA’s Deep Learning Institute is now
working with the online learning provider to develop a programme that will
immerse students in the field of robotics, giving them career-ready skills.
Udacity Nanodegree
programmes currently
have 53,000 enrolled students, with more than 18,000 grads. Its free and unpaid
courses have more than nine million enrolled students worldwide.
Get with the Programme
Students in the two terms of
Udacity’s Robotics Software Engineer Nanodegree programme will get hands-on
experience developing solutions to tough robotics and AI problems.
Throughout the term, students will
learn how to get their autonomous machines to understand the world around them,
make decisions and plan next steps.
Focus areas include robotic
systems deployment, localisation, SLAM, reinforcement learning for robotics,
and path planning and navigation.
You’ll learn about hardware used
in robotics, including the NVIDIA Jetson TX2. As a
bonus, all eligible students enrolled in this programme get an education
discount that can be applied to the purchase of a Jetson TX2.
Living on the Edge
The programme culminates with students
building a simulated home service robot that can map, localise and navigate
while performing household tasks — moving from room to room autonomously.
NVIDIA Jetson TX2 is the ideal
platform for robotics, delivering high performance with low power. It’s able to
process complex data onboard edge devices. So you can count on fast, accurate inference
in robots, drones and more.
Jetson, a small but mighty AI supercomputer
that is ideal for autonomous machines.
Apply Yourself
To successfully apply to Udacity’s
Robotics Software Engineer Nanodegree programme, you’ll need a knowledge of
foundational calculus, linear algebra, probability, statistics, basic physics
and intermediate Python experience with intermediate C++, and knowledge of
machine learning techniques (recommended not required).
The good news: once you’re in, you’re in. So be sure to
continue for a second term with the programme once you’ve finished the first.
And if you think you have what it takes, take your
newfound robotics skills and apply it to our Jetson Developer Challenge. The
winners will score up to US$10,000 in cash and a possible trip to the GPU
Technology Conference next
March in Silicon Valley.
About NVIDIA
NVIDIA‘s (NASDAQ: NVDA) invention of the GPU in
1999 sparked the growth of the PC gaming market, redefined modern computer
graphics and revolutionised parallel computing. More recently, GPU deep
learning ignited modern AI — the next era of computing — with the GPU acting as
the brain of computers, robots and self-driving cars that can perceive and
understand the world. More information at http://nvidianews.nvidia.com/.
For the LATEST tech updates,
FOLLOW us on our Twitter
LIKE us on our FaceBook
SUBSCRIBE to us on our YouTube Channel!
