We recently opened enrollments for the new class of Udacity’s Robotics Software Engineer Nanodegree program. In it, you’ll focus on building a portfolio of five hands-on projects using ROS and C++ (the most important programming language in robotics) and you’ll learn core robotics algorithms.
As we prepare to get started in a few weeks time, we thought it would be useful to speak with someone who already works in robotics to get an insider view on the robotics sector. We recently caught up with Michael Costa, a robotics engineer who has a passion for working with medical devices.
He gave us a great insight into his career journey and some great advice on how someone new to robotics can land their first position.
At Udacity, we work closely with leading industry employers to develop the right curriculum to support your career advancement. We believe there is no better way to understand exactly what skills top employers are looking for than to speak directly to those companies and professionals. Today, as a result of insights gleaned from our collaborators in the field of robotics, we are announcing the next generation of our Robotics Software Engineer Nanodegree program!
The changes we are rolling out are expressly focused on today’s intense demand for robotics talent. We know that top employers are seeking engineers with these core robotics skills: ROS, Gazebo, C++, and robotics algorithms. So, we’re introducing a newly streamlined and laser-precise version of our program that will focus specifically on these core skills in a single, four-month intensive term.
This Udacity Nanodegree program graduate enacted a full-scale career change to become a Machine Learning Engineer.
Meet Robin Stringer. Robin worked as a journalist, a translator, and a marathon race guide for visually-impaired athletes, before a conversation about coding caused him to reevaluate his long-term career plans.
While he was working for a para-athletics non-profit in New York, he began learning Python online, and in the course of doing so discovered Udacity’s programs. He moved to Seattle and took the opportunity to pursue his coding studies full-time, with the goal of pulling off an audacious career change. After studying some of Udacity’s free courses, he started the Self-Driving Car Engineer Nanodegree program and got his first taste of machine learning. After a lot of work, he successfully landed a full-time role as a machine learning engineer.
We chatted with Robin to learn how he made his career change happen.
A passion for learning sent Darien Martinez Torres back to the classroom after twenty years as a developer. Today, this two-time Nanodegree grad works on drones and flying cars!
Darien Martinez Torres has nearly twenty years of experience as a software developer. For much of that time, he has worked as a contractor—jumping from role to to role as opportunities have appeared. He enjoyed the new challenges each job brought, but he also had a nagging sense there was something more out there for him.
When he heard about the Self-Driving Car Engineer Nanodegree program, he recognized an opportunity to reconnect with subjects he’d learned about years before—such as image and sensor processing. It sounded amazing, but also a challenge—he’d need to balance studying with the demands of work; not to mention family life with three children! Nevertheless, he enrolled and committed to studying hard, collaborating closely with a group of fellow students. He quickly realized that much in the field had changed, and there were many new skills he’d need to learn anew.
Darien has now graduated from two Nanodegree programs, and he’s doing something incredible—he’s collaborating with a group of fellow graduates to put his new skills into immediate practice, and he’s building out his own idea for a platform to share advanced experiments.
We chatted to Darien recently to hear about what drives his passion for learning, and to learn more about his exciting new collaboration.
Udacity and KPIT have created a new scholarship for aspiring autonomous vehicle engineers in India. Successful applicants will enter Udacity’s Self-Driving Car Engineer Nanodegree program, and top performers will earn a job interview with KPIT!
Today we’re pleased to announce the Autonomous Tech Scholarship, a new venture with global technology company KPIT. We have partnered with KPIT to offer scholarship opportunities to residents of India who are eager to enter the world of autonomous technology, and advance their careers in this transformational space.
This Nanodegree program grad describes herself as “passionately curious.” That curiosity has taken An Nguyen to an amazing new career as an Embedded Systems Engineer, working on self-driving robots!
In her LinkedIn profile, An Nguyen includes a famous quote from Albert Einstein: “I have no special talent. I am only passionately curious.” She feels this quote really describes her, and while we respectfully disagree with the first half, “passionately curious” is absolutely right.
When she graduated college with a degree in Mechanical Engineering, An landed a great job as a design engineer for a transportation company in Ohio. She did well at the company, got promoted, and worked on high-profile projects. But her curiosity wouldn’t allow her to rest on her laurels. She’d been reading about exciting new technologies that were predicted to change the world, and she was feeling the lure of new career challenges.
She started looking at online programs, found Udacity, and decided to enroll in the Self-Driving Car Engineer Nanodegree program. It was as if a light bulb went on as soon as she started studying.
Today, An is an Embedded Systems Engineer for a Forensic Engineering company. She works on software and hardware related to self-driving robots, and she loves her company. We spoke to An to hear about how she made it happen.
Jobs aren’t going away, but they are evolving. Future career success means learning the right skills, now.
Anywhere the future of work is being thought about, debated, forecast, and fought over, there are conversations going on about the role automation is going to play. The primary question that shows up in virtually every conversation takes on many forms, but the gist is always the same—will the robots free us up for better jobs, or will they simply take our existing ones away?