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Student service, the program lets students from around the world access dozens
of hours of free training modules and tutorials on the basics of ML and its
real-world applications. Two thousand students are eligible to earn scholarships
annually as part of Amazon's commitment to a more diverse future AI & ML
workforce. Eligible students must successfully complete an application, complete
educational module quizzes, and meet AWS DeepRacer Student League performance
targets. The DeepRacer Student League is a global autonomous racing competition
exclusively for AWS AI & ML students.
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Introducing the AWS AI & ML Scholarship Program | Amazon Web Services (1:49)
FEATURES AND BENEFITS
LEARN ML FASTER WITH AWS DEEPRACER STUDENT
AWS DeepRacer Student is an all-new free service for students over the age of 16
enrolled in high school and higher education institutions around the globe. All
applicants can access 20 hours of AWS AI & ML content at launch, receive 10
hours of model training, and 5 GB of storage per month to participate in the AWS
DeepRacer Student League (a global autonomous racing competition exclusively for
AWS AI & ML students). AWS DeepRacer is the fastest way for students to learn
ML.
FAST-TRACK YOUR CAREER WITH SCHOLARSHIPS
The AWS AI & ML Scholarship program awards 2,000 students per year with
scholarships for the Udacity AI Programming with Python Nanodegree program (a
$4,000 USD value). This four-month collaborative virtual course teaches the
foundational skills you need to start a career in AI & ML, with support from
Udacity teachers in weekly group sessions. Five hundred of the top performing
students who receive the highest scores in the first Udacity Nanodegree program
will have the chance to earn a second, more advanced Udacity Nanodegree, curated
specifically for AWS AI & ML Scholarship recipients. This six-month course
combines deep learning and ML engineering Nanodegree concepts to prepare
students for technical careers.
RECEIVE MENTORSHIP FROM AWS AND INTEL ML EXPERTS
All 2,000 students in the AWS AI & ML Scholarship program receive tailored
mentoring and career guidance from industry experts. In addition to tutoring
from Udacity program mentors and instructors, students in the introductory
course can join monthly “Ask Me Anything” seminars with top industry experts.
Topics range from career development and networking, to promoting diversity and
equity in the tech workforce, to technical experience in the field. Students
will have the opportunity for Q&A with guest speakers like Adriana Gascoigne
(from Girls in Tech) to executives at AWS and Intel. Participants in the second
Nanodegree program will receive a full year of one-on-one mentorship from an AWS
or Intel employee who will provide guidance for both coursework and preparing
for a career in technology.
GETTING STARTED
Sign up for AWS DeepRacer Student and opt into the AWS AI & ML Scholarship
program. There are currently over 20 hours of free content available to start
learning today.
Track your progress for the AWS AI & ML Scholarship program requirements while
you learn, practice, and participate on AWS DeepRacer Student.
Submit your application on Udacity using a unique code you’ll get once you
complete the prerequisites.
TRACK YOUR PROGRESS TO EARN YOUR SCHOLARSHIP
LEARN
Achieve an 80% or better on all learning module quizzes in AWS DeepRacer Student
while learning the foundations of ML to unlock your scholarship application
code.
PRACTICE
Apply your new skills and train an AWS DeepRacer model. You receive 10 hours of
train or evaluate models with AWS DeepRacer service and 5 GB of storage for free
each month.
PARTICIPATE
Submit your model to the AWS DeepRacer Student League. Your goal is to complete
an attempt in under 3 minutes in any monthly race.
FREQUENTLY ASKED QUESTIONS
* General program information
Q: What is the AWS AI & ML Scholarship program?
The AWS AI & ML Scholarship program, in collaboration with Intel and Udacity,
is an AI/ML-focused scholarship program providing 2,500 scholarships
annually, as well as a mentorship program, to students that identify as
underserved or underrepresented in technology. The program aims to make the
future tech workforce more diverse by removing financial barriers, providing
training for a career in tech, and offering mentorship support to individuals
that are underserved or underrepresented in tech.
Q: How does the Scholarship program leverage AWS DeepRacer?
The AWS AI & ML Scholarship program uses a student-only version of the
award-winning AWS DeepRacer League to qualify participants for scholarship
opportunities. This league engages students with fun, hands-on learning
opportunities. Students that complete the program requisites (from high
school students over the age of 16 to college students) are invited to apply
for one of 2,500 Udacity Nanodegree scholarships, with the opportunity to
continue learning with a more advanced nanodegree, helping them prepare for a
career in technology.
Q: When does the AWS AI & ML Scholarship program begin?
The AWS DeepRacer Student League pre-season starts on December 1, 2021 and
ends February 28, 2022. It provides students early access to over 20 hours of
free AI/ML foundation content and hands-on access to AWS DeepRacer Student.
Students can browse the content and learn how to teach their car to drive
around the track in preparation for the official season kickoff on March 1st.
Applications open for the AWS AI & ML Scholarship program on March 1, 2022,
with more than 50 hours of learning content, assessments, and the official
start of the AWS DeepRacer Student League. At this time, students can
complete scholarship requirements on AWS DeepRacer Student to unlock and
finish their application.
Q: What are the important program dates?
Event Name
Start Date
End Date
AWS DeepRacer Student Launch
12/1/2021
-
AWS DeepRacer Student League pre-season competition
12/1/2021
2/28/2022
AWS DeepRacer Student League 2022
3/1/2022
9/30/2022
AWS AI & ML Scholarship qualification – Summer Cohort
3/1/2022
5/31/2022
Applications open on Udacity – Summer Cohort
3/1/2022
6/19/2022
AWS AI & ML Scholarship qualification – Winter Cohort
6/1/2022
9/30/2022
Applications open on Udacity – Winter Cohort
6/15/2022
10/18/2022
Udacity Nanodegree 1: AI Programming with Python Nanodegree program –Summer
Cohort
7/7/2022
11/15/2022
Udacity Nanodegree 1: AI Programming with Python Nanodegree program – Winter
Cohort
11/2/2022
3/15/2023
Udacity Nanodegree Scholarship program 2: DeepLearning and ML Engineering
5/9/2023
11/9/2023
12-month mentorship for the top 500 students
5/9/2023
5/9/2024
Q: Where is The AWS AI & ML Scholarship program available?
The AWS AI & ML Scholarship program is available globally, except where
prohibited by law. See here for official terms and conditions. Additional
details regarding the Nanodegree scholarship will be available on Udacity
starting March 1, 2022.
Q: What differentiates the AWS AI & ML Scholarship program from other
scholarship programs?
The AWS AI & ML Scholarship program is unique because it uses AWS DeepRacer
and corresponding AI/ML training content as a mechanism to inspire, engage,
and educate participants in ways no other scholarship program does. Unlike
traditional scholarships, all participants, not just winners, benefit from
the program by learning the fundamentals of ML, AWS offerings, and the
real-world problems that AWS ML solves (through content developed in
collaboration with Udacity).
One of the issues those new to ML face is the feeling that ML is out of reach
for them. By familiarizing students with cloud and ML offerings in fun and
hands-on ways, AWS DeepRacer provides inspiration and confidence students
need to not only enroll in STEM fields, but also overcome challenges and
successfully graduate. Demystifying ML through gamified and hands-on AWS
DeepRacer competitions creates a cycle to help these individuals graduate and
create a more diverse workforce. Improved diversity leads to creation of
technologies that are more welcoming to the next generations of currently
underrepresented minority groups.
Compared to traditional scholarships, AWS DeepRacer can engage more
participants by getting them excited about AI & ML and while having fun
racing a model car.
Q: What is a Udacity NanoDegree?
Udacity nanodegrees are massive open online courses (MOOCs) designed to
bridge the gap between learning and career goals. For more details, see What
is a Nanodegree Program? in the Udacity support documentation.
Q: Are there any costs associated with applying to the AWS AI & ML
Scholarship program, including completing the prerequisites?
No, there are no costs to apply. Additionally, all aspects of AWS DeepRacer
Student, the service used to complete the application requisites, is free for
students to learn, train, and participate.
Q: When are scholarship recipients selected?
The AWS AI & ML Scholarship program works on a cohort-based approach. Each
year, two cohorts of 1,000 students are selected. The applications for the
first cohort are due on June 19th, and the applications for the second cohort
are due on October 18th.
* Program eligibility
Q: Who can apply to the AWS AI & ML Scholarship program?
Any student over the age of 16 that self identifies as underserved or
underrepresented in technology, and is currently enrolled in high school or
college, may apply (subject to terms and conditions on Udacity coming March
1, 2022).
Q: How do I qualify for the AWS AI & ML Scholarship program?
Qualifying for the scholarship is based on two criteria:
1. Review coursework and pass assessments. To qualify you must score 80% or
better on all required assessments on AWS DeepRacer Student learning
modules. Each assessment is based on different chapters you can find in
the Learn section in the AWS DeepRacer Student navigation pane.
2. Achieve a minimum lap time. Each month from March to September, a new
leaderboard is launched in the AWS DeepRacer Student League, featuring a
new track design. To qualify for the scholarship, you will need to
complete a time trial lap in less than 3 minutes on any single
leaderboard.
Q: How will I know if I have completed all of the prerequisites on AWS
DeepRacer Student?
By opting in to the AWS AI & ML Scholarship at AWS DeepRacer Student
registration, students have their progress towards completing the
prerequisites tracked automatically in the dashboard section of DeepRacer
Student. When a student successfully completes all requirements, they will
receive an automated email with a unique application code and instructions to
finish their application on Udacity. At the close of each application period,
selected recipients will receive an email from Udacity regarding their
enrollment.
Q: Am I required to provide proof of enrollment before being selected for the
AWS AI & ML Scholarship?
You may be asked to provide proof of enrollment (such as a college
transcript) to receive the AWS AI & ML Scholarship.
* Scholarship selection
Q: How are students selected for the AWS AI & ML Scholarship program?
Students that successfully complete prerequisites within AWS DeepRacer
Student and submit their application on the Udacity website by the submission
deadline are considered for the scholarship. Udacity will use a combination
of application data, including but not limited to prerequisite knowledge
assessments, to determine 2,000 scholarship applicants annually.
Q: How are the top 500 students selected for the advanced Udacity Nanodegree
program with one-on-one mentoring?
To determine the top 500 students, students will be evaluated based on the
completion of coursework during the first nanodegree, including course
assessments and module completion.
* Educators
Q: Are educators eligible to use the AWS DeepRacer Student service?
Yes, educators are strongly encouraged to take advantage of the free
educational content and service on AWS DeepRacer Student. The learning
content provided has been curated by AWS ML experts to help students get
started with ML, and is a great addition and resource for any computer
science and related course.
Q: Are educators eligible to apply for the AWS AI & ML Scholarship?
No, at this time the AWS AI & ML Scholarship program is only open to
currently enrolled students at accredited high school and higher education
institutions. However, you are encouraged to share the opportunity with your
students and help them take advantage of the scholarship opportunity.
Q: Who can I contact to learn more about incorporating AWS DeepRacer Student
into my curriculum?
To connect regarding AWS DeepRacer Student opportunities, please complete
this form and an AWS DeepRacer Student expert will contact you.
Get started with AWS DeepRacer Student
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