Self-driving cars are no longer just a part of science fiction movies. If you visit San Francisco, odds are you will see a self-driving car from Uber or Cruise roaming the streets — with a supervisor sitting behind the wheel, of course.
Tesla has been selling cars with self-driving capabilities for years. Their Autopilot feature can “steer, accelerate and brake automatically” and even be summoned within a parking lot.
If you shop for a car in 2020, you’ll be able to choose from multiple options that can self-park. In fact, they can probably pass their parallel parking driver’s test better than you can!
Curiosity is central to Jeremy Jordan’s personality. He even has his own term for how he approaches life—“optimizing for learning.” Jeremy is putting his learning into action now, and embarking on a remarkable adventure. He’s launching his own startup!
Sometime back we highlighted the student story of Kush Singh, a 9 year old programmer who wants to found companies that can create technology. This week we have another young genius to blow your minds. The 11-year-old Self-Driving Car Engineer, Aaron Ma!
To say that he is anything less than the future of technology is an understatement. Aaron is already a graduate from Udacity’s Self Driving Car Engineer Nanodegree program, Deep Reinforcement Learning Nanodegree program, and AI for Trading Nanodegree program as the youngest Udacity Nanodegree graduate. Apart from these, he has successfully graduated from more than 50 certificates from various online learning platforms.
This Udacity alum stayed receptive to new opportunities, and followed a unique path to career success in the self-driving car field!
Many of us have a general idea of what we want to do in our careers but we don’t know the specifics of how our career path will play out. There will be twists and turns along the way, and exciting opportunities that appear unexpectedly. That’s why it’s important to stay educationally curious and professionally receptive to fresh challenges.
We spoke with Kyle Martin, a graduate of our Self-Driving Car Engineer Nanodegree program, to hear about how this approach has worked for him. Kyle has always kept his eyes open for new opportunities throughout his programming career in iOS development and data science. He has added to his skills and leapt at new challenges. Now he has used the skills he built with Udacity to land an amazing opportunity as a lead robotics engineer working on self-driving vehicles.
Get started with self-driving cars in our Intro to Self-Driving Car nanodegree program. Start Learning
I am super pumped to announce a new Udacity Nanodegree offering: an introductory program to Self-Driving Cars. As you all know well, I have been working on self-driving cars for over a decade. I founded Google’s self-driving car team, and launched Udacity’s Self-Driving Car Nanodegree program last year at this time. This program has already educated more self-driving car engineers than all universities combined. And while the first group has not even graduated, nearly 60 students have already found new jobs at companies like BMW, Lockheed Martin, NIO, Volvo, and Amazon Robotics.
However, our existing Self-Driving Car Engineer Nanodegree program has many prerequisites. It is built for seasoned software engineers, who wish to dive into the nitty gritty details of how to make a self-driving car.
Our new Intro to Self-Driving Cars Nanodegree program lets anyone with minimal programming experience taste the thrills of building self-driving cars. We empower you to understand the essentials of programming a self-driving car: from machine learning to object-oriented programming to probabilistic robotics. When you graduate from this program with your very own Nanodegree credential in hand, you won’t quite be an expert (yet). However, you will have experienced what it means to build self-driving cars, and hopefully will engage in a path of learning that will forever change your life. You will get guaranteed admission into the advanced Self-Driving Car Engineer Nanodegree program upon completion.
On March 8, 2017, it was announced to the world from the stage of Intersect 2017 that Udacity and DiDi were partnering to sponsor a $100k Self-Driving Car Challenge. To which the world has since responded: challenge accepted!
Over 1000 teams have signed up to compete in the challenge, with registrants coming in from the US, China, India, Canada, Germany, the UK, Japan, and more. The final deadline to register is April 21, 2017 at 11:59 PM PST, but the clock is already ticking! Join the competition today, create or join a team, and get ready, because the first round of the challenge starts on March 22nd!
The mission statement says it all: “The future is in smart, electric and autonomous vehicles, and we aim to lead the way.” When a statement like that comes from a company like NIO, which is led by a person like Padmasree Warrior, you simply have to take notice.
We certainly take notice, and you will too, particularly after you’ve had the chance to engage directly with Padmasree Warrior during our next Udacity Talks episode!
RSVP today for Udacity Talks with Padmasree Warrior on Friday, January 27 at 1:30pm PDT!