Udacity, an online learning platform has partnered with Amazon Web Services(AWS) to offer brand new scholarship opportunities to developers of all levels to build their machine learning skills. The scholarship was designed to help students break into machine learning by building key skills and deploying them in the AWS production environment.
In the AWS Machine Learning Foundations Course, the first of two scholarships being offered, you’ll build basic software engineering skills and intermediate knowledge of Machine Learning skills, such as supervised and unsupervised learning. You’ll also gain hands-on experience with AWS educational Artificial devices, such as AWS DeepComposer.
All learners of all skill-levels to apply to the AWS Machine Learning Scholarship program.Students who complete the Foundations course will have an opportunity to take a unique knowledge test to earn one of 325 scholarships for the full Machine Learning Engineer Nanodegree program, one of the most popular Udacity Nanodegree programs.
- Be 18 years of age or older who are interested in expanding their machine learning skills and expertise to enroll in the AWS Machine Learning Scholarship Program.
- Availability as learning begins as soon as you complete your enrollment (enrollment opens on May 19).
- Scholarship recipients will spend 2.5 months in the AWS Machine Learning Foundations Course, studying machine learning techniques and algorithms, programming best practices, python coding, and Amazon AI Services and Amazon AI Devices. The foundations course is intended to help developers of all skill levels get started with machine learning. When you successfully complete the course, you’ll be awarded with a certificate of completion.
- At the end of the AWS Machine Learning Foundations Course, learners will take an assessment from which top students will be selected for one of 325 follow-up scholarships to one of Udacity’s most popular Nanodegree programs: AWS Machine Learning Engineer.
Scholarship enrollment begins on May 19 and ends on July 31, 11:59 PM .You can pre-register here