IBM Watson has captured our collective imagination to a degree that very few technologies ever achieve. Even to refer to it as a “technology” seems limiting, considering its larger-than-life persona. From that fabled moment in 2011 when IBM Watson won Jeopardy’s first place prize—besting legendary former champions Brad Rutter and Ken Jennings—its place in our cultural history was assured. But behind all the media notoriety lies a system of staggering power and complexity, with the potential to impact our future in ways we’re only just beginning to imagine.
In light of all this, it’s difficult at first to conceive that anyone could actually teach people about IBM Watson. But that’s exactly what Armen Pischdotchian does for a living. By title, he is an “Academic Tech Mentor at IBM Watson.” Translation: Armen Pischdotchian knows a LOT about IBM Watson.
Which is why we’re so excited for our Artificial Intelligence students, because Armen Pischdotchian is now a contributing expert for Udacity’s Artificial Intelligence Nanodegree program!
Artificial Intelligence by its very nature promises so much, and the potential seems so vast it staggers the imagination. Excitement in this field runs higher every day, as the ongoing process of translating the possible into the actual produces newer and more incredible innovations.
With this excitement come concerns, of course, and it is perhaps understandable that some people continue to see Artificial Intelligence as some sort of a threat—in far too many narratives, AI is cast as a replacement for humans, with robot laborers predicated to take over for human employees in the workforce. This worry fails to take into consideration two key storylines: 1) AI is an augmentative technology; it extends our abilities, it does not replace them, and 2) AI, by assuming responsibility for repetitive and mundane tasks, frees us for more creative and fulfilling activity.
When it launched, the Udacity Artificial Intelligence Nanodegree program became a kind of landmark in this history of AI. There was no precedent for the program’s groundbreaking combination of content, platform, partners, and services. A career-focused online learning program teaching one of the world’s most transformational technologies in collaboration with some of the most innovative companies on the planet? That simply did not exist before.
The first term of students to enroll and start the program got to experience something genuinely new. They were risk-takers in every sense of the term. Today, less than a year later, their ranks already number in the thousands. Applications for the next available term are outpacing available seats at a ratio of nearly 3-to-1. Still, the classroom experience retains an air of mystery. How do you teach AI in an online classroom environment?
Wonder no more! We are very excited to invite you to a very special, very limited, free preview of our Artificial Intelligence Nanodegree program! From now until June 19, 2017, at 11:59 pm PST, you can enter the classroom, access course materials, and even build the first project.
Experience the Artificial Intelligence Nanodegree Program classroom today!
The time period between November 30th and December 14th, 2016 has been—and continues to be—an incredibly exciting time for Udacity, and for all aspiring Artificial Intelligence Engineers. By the time this period comes to a close, hundreds of students will have committed to our Artificial Intelligence Nanodegree program, establishing themselves as the next generation of AI talent. With program start dates ranging from January to April of 2017, we can say with confidence that come the end of next year, we’ll be looking back on some incredible accomplishments from these dedicated learners.
If your registration in our Artificial Intelligence Nanodegree program is complete by December 14th, then we’ve got some additionally exciting news for you: you’re eligible to win lunch with Peter Norvig! Peter is the Director of Research at Google, a course instructor for the Udacity Artificial Intelligence Nanodegree program, and an author of “Artificial Intelligence: A Modern Approach,” the de facto standard text on AI.
Now that we’re preparing to close the inaugural round of applications for our new Artificial Intelligence Nanodegree program, we are quietly but excitedly settling down to the work of rolling out this incredible curriculum for our incoming students. In this post, we’re going to look at the origin story of this program’s curriculum. The first step in preparing a comprehensive AI program is to understand the relevance and trajectory of the field itself.
AI Today, AI Tomorrow
One thing is unequivocally clear: There has never been a better time to study Artificial Intelligence. Demand for smarter solutions to problems big and small—combined with increasing access to high performance computing and an abundance of rich data sources—means AI is poised to seismically impact the world of computing for the better.
Artificial intelligence. Machine learning. Self-driving cars. If you’re keeping up with the rapid changes in the technology industry, you’re seeing a bunch of terms thrown around as if they’re interchangeable—but really, there are some pretty important distinctions. In this post, we’re going to demystify the differences, and clarify the relationships, among these terms, especially artificial intelligence, machine learning, and self-driving cars. Let’s begin with a simple model for how we’ll approach this topic:
Artificial intelligence is the ‘what’.
Machine learning is the ‘how’.
Self-driving cars are the ‘why’.
At Udacity, we believe applications of artificial intelligence will bring transformative change to all industries, and not in some distant science-fiction future—we are seeing rapidly growing demand for AI-related skills right now, and new artificial intelligence jobs are emerging every day. This is exactly why we created our recently announced Artificial Intelligence Nanodegree program.
Many of these jobs are still very new however, and we’ve learned from our program applicants—who already number in the thousands!—that while they’re excited about their prospects, they also have questions about exactly what kinds of jobs they’ll be able to pursue after graduating from this program.
So we took it upon ourselves to answer this question. To begin, we needed concrete data. We looked at thousands of job descriptions posted on common job hunting sites like Stack Overflow, Indeed, and Hacker News, and we found some very interesting trends for those considering careers in artificial intelligence.