About Scholarship –
Udacity has announced the implementation of the AWS Machine Learning Scholarship Program in partnership with Amazon Web Services (AWS). The aim of this program is to remove barriers to the training of machine learning skills, and to develop the next generation of Learning Machine Leadership (ML) leaders from non-sub-backgrounds. Registration for the free AWS Machine Learning Foundations course has begun. A total of 425 students from the course will be selected to receive a full scholarship for the entire AWS Machine Learning Engineer Nanodegree program based on test results open to all free graduates.
“AWS is trying to help balance the playing field for women and people of color, who have been heavily represented in the technology industry for a very long time. We are pleased to work with Udacity to make this type of technical training more widely available and accessible, ”said LaDavia Drane, head of Inclusion, Diversity and Equity at AWS. “We look forward to seeing the amazing technology of machine learning that will emerge from this program.”
The AWS Machine Learning Foundations course is designed for those with limited ML experience to begin to fulfill the essential skills needed for years to come. Through its We Power Tech program, AWS is partnering with professional organizations that are leading efforts to increase diversity in the technical fields, including organizations such as Girls In Tech and the National Society of Black Engineers. These organizations come together to help increase access to the 2021 learning program among their members and the community.
About the AWS Machine Learning Scholarship program
Launched in 2019, the AWS Machine Learning Foundations course has been updated with a number of new modules, including the introduction of Reinforcement Learning (RL) with AWS DeepRacer, AI productive AWS DeepComposer, and computer vision with AWS DeepLens. Students will also have the opportunity to further their skills with the AWS DeepRacer League. In addition, AWS Machine Learning Engineer Nanodegree, one of Udacity’s best-known courses, features updated content covering advanced machine learning methods and algorithms, as well as experts led by experts on how to build, train and distribute ML models quickly in the cloud and edge by Amazon SageMaker, a fully-fledged ML app for scientists and data developers.
“Our partnership with AWS has already seen thousands of students embark on their electronic learning journey, and the annual curriculum promises to help many more begin to achieve what is important,” said Gabriel Dalporto, CEO of Udacity. “As we look to the future, it is more important than ever to work with leaders in space to provide quality courses that easily open up new career opportunities for students.”
Participants will have up to 3.5 months to complete the AWS Machine Learning Foundations Course. At the end of the AWS Machine Learning Foundations Course, learners will take an assessment from which top performers will be selected for one of 425 follow-up scholarships to one of Udacity’s most popular and recently refreshed Nanodegree programs: The AWS Machine Learning Engineer Nanodegree program.
The program takes place 100% online. Students can work from anywhere,they must have working internet connection.
Eligibility Criteria –
- Applicant must be above 18 years of age are encouraged to apply.
Important dates –
- AWS Machine Learning Engineer Scholarship Program applications open: MAY 26, 2021
- AWS Machine Learning Engineer Scholarship Program applications close: June 23, 2021
- AWS ML Foundations Course (Phase 1) opens: JUNE 28, 2021
- AWS ML Foundations Course (Phase 1) ends: OCTOBER 11, 2021
- Scholarship winners announced: OCTOBER 21, 2021
- Machine Learning Engineer Nanodegree Program (Phase 2) opens: OCTOBER 25, 2021
For more information on the AWS Machine Learning Scholarship Program, students can visit the official website.
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