You might say Google and Udacity are on a mission to conclusively ensure your Android development expertise.
Through our two co-created Nanodegree programs—Android Basics and Android Developer—we built a path to Android mastery with points of entry for learners at every level of expertise; from complete beginners to intermediate Java developers.
Then Google launched the Associate Android Developer Certification Exam. This exam offers aspiring Android developers a unique opportunity to prove Android Development skills, and earn certification directly from Google affirming those skills—a definitive step on the path to a job as an Android Developer.
As a complement to that Certification, we just introduced the Associate Android Developer Fast Track, your complete path to Google certification. This program is a model of efficiency, designed to teach you exactly what you need to know to successfully pass the exam and earn your certification from Google. It’s $750 for three months of access, and the program includes three courses, three projects and the Google certification fee.
Today we are introducing Udacity Blitz, a new service directly connecting companies with top engineers who develop and fully manage custom software projects. Udacity Blitz teams build mobile apps, websites, and provide data services for innovative companies that need to move fast and get quality results. Companies have the option to hire Udacity Blitz engineers (called Blitzers) for their teams at any time, with no restrictions or fees.
Udacity Blitz gives Nanodegree program alumni new opportunities to apply their skills, add to their resumes, and earn money, while at the same time presenting clients with direct access to the best talent, and a clear path to hire that talent for their teams.
“Udacity Blitz is a service we need in today’s rapidly changing corporate landscape. They truly put their engineers first, and it was a pleasure to work with them on our mobile project.” —Arianna Huffington, Founder and CEO, Thrive Global
Today we are announcing the first Udacity Connect Campus launching in Saudi Arabia, with the long-term goal of helping talented learners across Saudi Arabia achieve their full potential in the technology sector. This new program is made possible through the remarkable partnership of the MiSK Foundation, and under the patronage of His Royal Highness Prince Mohammed Bin Salman Bin Abdulaziz.
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.
Udacity recently launched the Predictive Analytics for Business Nanodegree program, and Tableau, creators of an award-winning and exceptionally powerful data visualization tool, is one of our key partners for the program. Their expertise not only helped us build the world-class curriculum, but every enrolled student receives a free Tableau software license for the duration of their program studies.
In my role as Program Lead for the Predictive Analytics for Business Nanodegree program, I’ve had the privilege of working closely with Tableau, so it was with great excitement and anticipation that I made my preparations to attend Tableau Conference 2016 (#Data16), Tableau’s annual conference in Austin, Texas. Going in, I knew it was a big event, but the actual experience of joining 10,000 other Tableau users has been even more powerful than I could have imagined.
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’.
What does every app developer want to do? You want to develop high-quality apps, grow a customer base, make money, and achieve long-term success, of course. We can answer that question for you. But here are a couple more questions that only you can answer:
- Have you ever been frustrated with how much time it takes to set up the back end of your app?
- Are you looking for a solution for data storage and syncing for an app?
If you answered “Yes” to either or both of these, then keep reading!