Every day we come across many inspiring stories of our students succeeding in various fields. Some make us happy, some make us proud, and then there are some that are so remarkable they make us realize the profound impact our students can have on society.
We came across one such story recently of Mateusz Zatylny, a recipient of the Udacity Pytorch Scholarship and the Udacity Facebook Secure and Private AI Scholarship, who is now building an autonomous technology driven wheelchair along with a group of Udacians he met during the Pytorch Scholarship program. Mateusz is a patient of generalized Dystonia, a movement disorder that is not limited to a single part of the body. But that clearly didn’t deter him from achieving great things. He can’t control his wheelchair by himself, so he decided to build an autonomous technology driven wheelchair that could help him and many more to safely maneuver through daily life.
These days you’ll be hard-pressed to find someone who hasn’t interrogated Siri (or Alexa), enjoyed the movie Netflix suggested, or fallen victim to purchasing that additional item Amazon recommended—all of which are only possible due to artificial intelligence. AI has been a field of study as far back as the 1950s, but advances have skyrocketed in recent years. These days AI is everywhere and has increasingly become part of all of our everyday lives. Thanks to AI, once tedious tasks are now simple, single-click activities. And as technology becomes even more pervasive, it will only continue to impact our personal and professional lives.
Update: Applications to this program are now closed. You can access the FREE AWS Deep Racer course here.
Today, we are excited to announce our newest offering to expand students’ machine learning deep learning skills: the DeepRacer Scholarship Challenge from Amazon Web Services (AWS).
This new scholarship program will enable students to acquire skills in machine learning and test their skills in the world’s first autonomous racing league – the AWS DeepRacer League. Top performing students in the DeepRacer League will also have the opportunity to earn their way to a full scholarship to the Machine Learning Nanodegree program with Udacity.
To prepare the next generation of product managers to compete in the AI-driven workforce of tomorrow, lifelong learning pioneer Udacity is announcing a new learning partnership with San Francisco-based machine learning and artificial intelligence company Figure Eight, an Appen company. Today, the two companies are announcing their collaboration on the AI Product Manager Nanodegree program, a course designed to teach students how to build AI-powered products and how to bring value to their business using AI.
“When product managers adopt and embrace AI to develop products with AI at their core, they can create an impressive impact on their bottom line and on the real world as a whole,” said Alyssa Simpson Rochwerger, Vice President of Product, Figure Eight. “We built this course with Udacity to empower professionals to help build amazing products using AI, but aren’t coming to the table with a deep technical background.”
At Udacity, students are our number one priority. We recently redesigned our Nanodegree programs and launched new services to help students master the skills necessary to advance their career. We’ve heard some great stories and are excited to share them with you.
This week, we’re featuring a student who not only leveraged what he learned to innovate at his company, but also inspired others to enroll in Nanodegree programs so that they too could add significant value to their careers. Sundar Krishnan is a lead data scientist at Comcast who took Udacity’s Deep Learning Nanodegree program to develop a new skill set. He also inspired the creation of a “no-meeting” day, which enables employees to invest time in learning. Let’s hear more about his experience in the program.
This new scholarship program, announced at F8, the Facebook Developer Conference in San Jose, will enable students to acquire skills in Federated Learning, Differential Privacy, and Encrypted Computation with the benefit of robust community support from Udacity. You will learn how to use the newest privacy-preserving technologies, such as OpenMined’s PySyft. PySyft extends PyTorch and other deep learning tools with the cryptographic and distributed technologies necessary to safely and securely train AI models on distributed private data while maintaining users’ privacy. Students will also have the opportunity to earn their way to a full scholarship to either the Deep Learning Nanodegree program or the Computer Vision Nanodegree program with Udacity.
The Secure and Private AI Scholarship Challenge from Facebook