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AWS Scholarship - AWS Machine Learning Engineer
Page 1
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
Page 2
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
Page 3
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)
Get Scholarship
AWS Scholarship - AWS Machine Learning Engineer
Page 4
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
 
Learn 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.
AWS Scholarship - AWS Machine Learning Engineer
Page 5
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.
AWS Scholarship - AWS Machine Learning Engineer
Page 6
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.
AWS Scholarship - AWS Machine Learning Engineer
Page 7
AWS Scholarship - AWS Machine Learning Engineer
 
How does this scholarshipprogramwork?
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.
AWS Scholarship - AWS Machine Learning Engineer
Page 8
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.
AWS Scholarship - AWS Machine Learning Engineer
Page 9
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)
AWS Scholarship - AWS Machine Learning Engineer
Page 10
AWS Scholarship - AWS Machine Learning Engineer
 
Whenwillregistrationopenandclose?
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.
AWS Scholarship - AWS Machine Learning Engineer
Page 11
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 whenI need to be online or canI 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.
AWS Scholarship - AWS Machine Learning Engineer
Page 12
AWS Scholarship - AWS Machine Learning Engineer
 
Wheredoestheprogramtakeplace?
The program takes place 100% online. You can work from wherever
you want to, as long as you have a working internet connection.
AWS Scholarship - AWS Machine Learning Engineer
Page 13
AWS Scholarship - AWS Machine Learning Engineer
 
How is Phase 1 of this scholarshipdifferent fromUdacity'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.
 
WhichNanodegree programis includedinPhase 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 programscholarships 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 manyhours perweek shouldIexpect to spendonmycoursework inorderto succeedinthis 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.
AWS Scholarship - AWS Machine Learning Engineer
Page 14
AWS Scholarship - AWS Machine Learning Engineer
 
What will Ilearn?
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 helpme?
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 Idefinitelyget a jobbasedonthese 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
AWS Scholarship - AWS Machine Learning Engineer
Page 15
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.
AWS Scholarship - AWS Machine Learning Engineer
Page 16
AWS Scholarship - AWS Machine Learning Engineer
Will there be a Certificate of completion provided?
 
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.
Get Scholarship
AWS Scholarship - AWS Machine Learning Engineer
Page 17
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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Get AWS scholarship AWS machine learning engineer

  • 1. 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 W a n t S c h o l a r s h i p ?
  • 2. AWS Scholarship - AWS Machine Learning Engineer Page 1 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
  • 3. AWS Scholarship - AWS Machine Learning Engineer Page 2 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.
  • 4. AWS Scholarship - AWS Machine Learning Engineer Page 3 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) Get Scholarship
  • 5. AWS Scholarship - AWS Machine Learning Engineer Page 4 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   Learn 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.
  • 6. AWS Scholarship - AWS Machine Learning Engineer Page 5 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.
  • 7. AWS Scholarship - AWS Machine Learning Engineer Page 6 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.
  • 8. AWS Scholarship - AWS Machine Learning Engineer Page 7 AWS Scholarship - AWS Machine Learning Engineer   How does this scholarshipprogramwork? 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.
  • 9. AWS Scholarship - AWS Machine Learning Engineer Page 8 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.
  • 10. AWS Scholarship - AWS Machine Learning Engineer Page 9 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)
  • 11. AWS Scholarship - AWS Machine Learning Engineer Page 10 AWS Scholarship - AWS Machine Learning Engineer   Whenwillregistrationopenandclose? 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.
  • 12. AWS Scholarship - AWS Machine Learning Engineer Page 11 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 whenI need to be online or canI 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.
  • 13. AWS Scholarship - AWS Machine Learning Engineer Page 12 AWS Scholarship - AWS Machine Learning Engineer   Wheredoestheprogramtakeplace? The program takes place 100% online. You can work from wherever you want to, as long as you have a working internet connection.
  • 14. AWS Scholarship - AWS Machine Learning Engineer Page 13 AWS Scholarship - AWS Machine Learning Engineer   How is Phase 1 of this scholarshipdifferent fromUdacity'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.   WhichNanodegree programis includedinPhase 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 programscholarships 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 manyhours perweek shouldIexpect to spendonmycoursework inorderto succeedinthis 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.
  • 15. AWS Scholarship - AWS Machine Learning Engineer Page 14 AWS Scholarship - AWS Machine Learning Engineer   What will Ilearn? 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 helpme? 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 Idefinitelyget a jobbasedonthese 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
  • 16. AWS Scholarship - AWS Machine Learning Engineer Page 15 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.
  • 17. AWS Scholarship - AWS Machine Learning Engineer Page 16 AWS Scholarship - AWS Machine Learning Engineer Will there be a Certificate of completion provided?   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. Get Scholarship
  • 18. AWS Scholarship - AWS Machine Learning Engineer Page 17 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.