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
Today, we are excited to announce a new scholarship program with Bertelsmann. Over the next three years, Bertelsmann and Udacity will provide up to 50,000 scholarships in the areas of Cloud Engineering, Data Science and Artificial intelligence. This effort is an expansion of Udacity and Bertelmann’s partnership, as well as, their joint efforts to provide enhanced learning opportunities in emerging technologies.
The program is structured in two phases: In the first phase, 15,000 applicants, per subject area, will be selected to participate in a 3-month Scholarship Challenge phase. In the second phase, the top 5,000 performing Challenge phase students in each subject area will be awarded a full scholarship for a Udacity Nanodegree program.
Machine learning is impacting countless industries, from the recent discovery of a black hole to improving healthcare, we are just scratching the surface. The retail industry is a prime example. Retailers and manufacturers are racing to figure out how they can employ machine learning to target specific consumers, monitor trends, and discover new pricing models.
While retailers and manufacturers are doubling down on new ways to target and sell to consumers, Jia Rui Ong, a two-time Nanodegree program graduate, and his team are employing machine learning to help you, the consumer, find the best price for the clothing you desire.