Want Scholarship? AWS Machine Learning Engineer

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AWS G e t M a c h i n e L e a r n i n g S c h o l a r s h i p

AWS Scholarship - AWS Machine Learning Engineer

Become a Machine Learning Engineer

Learn what machine learning is and the steps involved in building and evaluating models. Gain in demand skills needed at businesses working to solve challenges with AI.

Learn the fundamentals of advanced machine learning areas such as computer vision, reinforcement learning, and generative AI. Get hands-on with machine learning using AWS AI Devices (i.e. AWS DeepLens, AWS DeepRacer, and AWS DeepComposer)

Learn how to prepare, build, train, and deploy high-quality machine learning (ML) models quickly with Amazon SageMaker.

How It Works

AWS Scholarship - AWS Machine Learning Engineer

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AWS Scholarship - AWS Machine Learning Engineer

AWS and Udacity are collaborating to educate developers of all skill levels on machine learning concepts. We invite students 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. The goal for this program is to up-level machine learning skills to all, and to cultivate the next generation of ML leaders across the world, with a focus on underrepresented groups. Through its We Power Tech Program, AWS collaborates with professional organizations that are leading initiatives to increase the diversity and talent in technical roles, including organizations like Girls In Tech and the National Society of Black Engineers.

The scholarship is open to all for registration starting May 26, 2021, and your learning will begin on June 28, 2021 or July 14, 2021, depending on when your application was submitted. Participants will have up to 3.5 months to complete the AWS Machine Learning Foundations Course. The course covers the fundamentals of machine learning, steps in machine learning process, basics of computer vision, reinforcement learning, generative AI, software engineering best practices for data science, and how to build your own python package. The foundations course is intended to help developers of all skill levels get started with machine learning.

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.

AWS Scholarship - AWS Machine Learning Engineer

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AWS Scholarship - AWS Machine Learning Engineer

“ The AWS Machine Learning Engineer Nanodegree Program enabled me to learn and achieve valuable machine learning skills at my own pace with interactive modules that made learning fun and effective. Carving out time to learn machine learning can be very hard, especially under the demanding schedules that software engineers work from. The flexibility offered by Udacity Nanodegrees lets me learn new skills on a timetable that works for me. ” Juv Chan AWS ML Hero and AWS Machine Learning Engineer Nanodegree Alumnus

Free Course Info START HERE

The AWS Machine Learning Foundations Course (FREE)

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AWS Scholarship - AWS Machine Learning Engineer

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AWS Scholarship - AWS Machine Learning Engineer

Register for the AWS Machine Learning Foundations course (100% of applicants will be enrolled for the Phase 1/AWS Machine Learning Foundations course - see timeline below.)

Learn the fundamentals of machine learning

Learn object-oriented programming best practices

L earn computer vision with AWS DeepLens, reinforcement learning with AWS DeepRacer, and generative AI with AWS DeepComposer.

Commit to dedicating 3-5 hours a week on the course and work towards earning one of the follow-up Nanodegree program scholarships.

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AWS Scholarship - AWS Machine Learning Engineer

Wednesday, May 26, 2021

AWS Machine Learning Engineer Scholarship Program applications open.

Monday, July 12, 2021

AWS Machine Learning Engineer Scholarship Program applications close.

Monday, June 28, 2021

AWS ML Foundations Course (Phase 1) opens.

Monday, October 11, 2021

AWS ML Foundations Course (Phase 1) ends.

Thursday, October 21, 2021

AWS Machine Learning Engineer Scholarship Program Scholarship winners announced.

Monday, October 25, 2021

AWS Machine Learning Engineer Nanodegree Program (Phase 2) opens.

Tuesday, January 25, 2022

AWS Machine Learning Engineer Nanodegree Program (Phase 2) ends.

Students can register at any point during the registration window. Access to the AWS Machine Learning Foundations Course will be available from June 28, 2021 – October 11, 2021.

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AWS Scholarship - AWS Machine Learning Engineer

“ AWS strives to help level the playing field for women and people of color, who have been underrepresented in the tech industry for far too long. We are thrilled to collaborate with Udacity to make this sort of technical training more widely available and accessible. ” LaDavia Drane Global Head of Inclusion, Diversity & Equity at AWS See below for frequently asked questions about this Scholarship Program.

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AWS Scholarship - AWS Machine Learning Engineer

How does this scholarship program work?

The AWS Machine Learning Scholarship program is for all developers interested in expanding their AWS machine learning skills and expertise. Applicants 18 years of age or older are invited to register for this program.

Phase 1: Scholarship Foundations Course 100% of applicants will gain access to the foundations course on June 28, 2021. Students can complete the foundations content at their own pace before the deadline of October 11, 2021. The course will help students develop object-oriented programming skills including writing clean and modularized code, understanding the fundamental aspects of machine learning, and also utilizing key AWS machine learning technologies, namely AWS AI Devices including AWS DeepRacer, AWS DeepLens, and AWS DeepComposer.

At the completion of the course, learners will receive a certificate for having completed the foundations course. The first 150 to successfully complete the free course will receive an AWS DeepLens device. We’ll also give $35 AWS credits to the first 2,500 who enroll in the course, for use in training AWS DeepRacer, for competition in the AWS DeepRacer League. Finally, learners will receive instructions to take an online assessment quiz that will be used to select the top scorers who will receive a full scholarship for Udacity’s popular AWS Machine Learning Engineer Nanodegree program.

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AWS Scholarship - AWS Machine Learning Engineer

Phase 2: Full Scholarship for a Udacity Nanodegree program 425 Scholarship participants who complete all program content and receive top scores from the online assessment quiz from the foundational program will earn a scholarship to the AWS Machine Learning Engineer Nanodegree program. Nanodegree programs typically require several hours of work per week for the duration of the Nanodegree program, from October 25, 2021 through January 25, 2022. This program will offer world-class curriculum, a groundbreaking classroom experience, industry leading instructors, thorough project reviews and a full suite of career services.

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AWS Scholarship - AWS Machine Learning Engineer

Who is eligible

to register?

Anyone 18 years of age and older is encouraged to register. You must register for the scholarship program by June 23, 2021, complete the foundations course and submit the assessment quiz

by October 11, 2021 to be considered for the scholarship. Udacity employees and individuals that reside in countries subject to U.S. trade restrictions are ineligible to register.

To successfully complete the AWS Machine Learning Foundations Course, students should expect to invest 3-5 hours per week over ~3.5 months and complete the assessment test by October 11, 2021. To complete the AWS Machine Learning Engineer Nanodegree, scholarship winners should expect to spend 6-7 hours per week over the ~3 months to complete the Nanodegree by January 25, 2022.

All learners are welcome to take the foundations course, but completion of a beginning level programming course is recommended to fully engage in all of the coursework.

I have

taken the foundations course before. What’s new in the 2021 edition?

New lesson on Introduction to Machine Learning New Introduction to Reinforcement Learning (RL) with AWS DeepRacer

New Introduction to Computer Vision with AWS DeepLens

Two new generative AI models under DeepComposer section (AR-CNN and

Transformers)

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AWS Scholarship - AWS Machine Learning Engineer

When will registration open and close?

The online registration window for the foundations course will be from May 26, 2021 to June 23, 2021. Students must complete their course and take the online assessment prior to October 11, 2021 to be eligible for a scholarship to the AWS Machine Learning Engineer Nanodegree program.

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AWS Scholarship - AWS Machine Learning Engineer

How many Nanodegree program spots will be available?

Upon completion of the foundations course, Udacity and AWS will provide 425 Udacity scholarships to participants who completed the required content and received top scores in the assessment quiz administered at the completion of the foundations course.

How do I enroll into the scholarship?

You can register anytime between May 26, 2021 and June 23, 2021.

The program content will become available in the Udacity Classroom to Scholarship participants on June 28, 2021.

Are there any non-technical prerequisites or costs associated with this program?

Both the foundations course and Nanodegree program will require performing tasks in the AWS console on an active AWS account.

Learners will need to submit a credit card on file with AWS to create an AWS account. The required exercise can be completed using AWS Free Tier services. Learners may incur a cost if they complete the optional exercise.

Are there specific class hours when I need to be online or can I go through the lessons and study whenever I want?

You can study on your own schedule so long as you complete the course within 3.5 months. That is to say, you’ll have complete access to the course directly in your classroom 24 hours a day. We understand that students have different schedules and will work on their course at different times and on different days. What’s important is that students make consistent progress each and every week and get through all the content before the end of the foundations course and Nanodegree program period.

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AWS Scholarship - AWS Machine Learning Engineer

Where does the program take place?

The program takes place 100% online. You can work from wherever you want to, as long as you have a working internet connection.

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AWS Scholarship - AWS Machine Learning Engineer

How is Phase 1 of this scholarship different from Udacity's single course offerings?

Udacity's single courses consist of lessons, videos and quizzes. But they do not provide comprehensive staff support available to answer technical questions, review student projects and provide guidance and help. Scholarship students in Phase 1 of this program will have access to an online library of resources administered by Udacity, as well as the student support team to help with any account issues. All students completing the foundations course will receive a certificate of completion from Udacity.

Which Nanodegree program is included in Phase 2?

The scholarships awarded in Phase 2 will be for Udacity’s popular AWS Machine Learning Engineer Nanodegree program featuring new and refreshed content.

How will the full Nanodegree program scholarships be earned?

After the foundations course ends, follow-up scholarships will be provided for the Udacity AWS Machine Learning Engineer Nanodegree program. Students will be evaluated based on successful completion of lessons in Phase 1 in addition to their online assessment quiz performance.

How many hours per week should I expect to spend on my coursework in order to succeed in this program?

Between instructional content, quizzes and other course-related activity, we estimate that investing 3-5 hours/week will enable you to proceed through the program at a successful pace and finish before your foundational scholarship ends. If you are awarded a follow-up Nanodegree program scholarship, we recommend investing about 10 hours/week over the next 3 months to complete the Nanodegree program.

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AWS Scholarship - AWS Machine Learning Engineer

What will I learn?

In the initial scholarship foundations course, you will learn all about object-oriented programming, writing clean and modular code, the fundamental aspects of machine learning, and key AWS machine learning technologies. The AWS technologies covered will include Amazon AI Services and AWS AI Devices such as DeepLens, DeepRacer, and DeepComposer. Learners will have the opportunity to work hands-on in a DeepComposer environment. In the Nanodegree program, learners will be able to develop complex and advanced machine learning models in the Amazon SageMaker environment.

How will it help me?

Machine learning is expected to transform virtually every industry and customer experience we know today. However, there is a shortage of trained and experienced machine learning developers.

Of 23 million developers worldwide, only 1.3% (300,000) have AI/machine learning expertise, and by 2022 it is predicted there will be 58 million AI/machine learning jobs, further deepening this talent shortage. Upon completion of the scholarship program, learners will have developed the skills most in demand in this exciting field.

Will I definitely get a job based on these scholarships?

These scholarships do not guarantee you a job. But Udacity students often do get jobs after graduating from programs like these. Check out some student stories.

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AWS Scholarship - AWS Machine Learning Engineer

What are the Terms and Conditions?

AWS Machine Learning Scholarship Legal Terms and Conditions

$35 AWS DeepRacer Credits

The first 2,500 students who enroll in the AWS Machine Learning Foundations free course will receive $35 AWS credits.

Offer valid until 23:59 PT on October 11, 2021. Offer may not be transferred, combined with other offers, or redeemed for cash.

Void where prohibited. Use of AWS Promotional Credits are subject to the terms and conditions available at

https://aws.amazon.com/awscredits . Additional terms and conditions may apply. These terms are subject to change without notice.

AWS DeepLens Device Giveaway

The first 150 students who successfully complete the AWS Machine Learning Foundations free course, reside within the United States and its territories, and are at least 18 years of age, will receive a promotional code which they have the opportunity to redeem for one AWS DeepLens device, provided

by Udacity. To successfully complete the AWS Machine Learning Foundations free course, students must view the course content entirely and score 90% or above on the assessment quiz. Offer valid until 23:59 PT on October 11, 2021.

Offer may not be transferred, combined with other offers, or redeemed for cash. Void where prohibited. Additional terms and conditions may apply. These terms are subject to change without notice.

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AWS Scholarship - AWS Machine Learning Engineer

What if I have

additional questions?

If you have additional questions that were not answered here, please submit a support ticket via this form.

AWS Machine Learning Scholarship Advance your career by earning a scholarship for the AWS Machine Learning Engineer Nanodegree Program Apply machine learning techniques and algorithms, including deployment to the AWS production environment.

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Will there be a Certif icate of completion provided?

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AWS Scholarship - AWS Machine Learning Engineer

Students who complete the foundations course will receive a certificate of completion from Udacity. Students selected for Phase 2 who complete the full Nanodegree program will be awarded a Nanodegree certificate.

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