Organisation : UDACITY & AWS
Scholarship Name : AWS Machine Learning Scholarship Program 2021
Applicable For : Anyone 18 years of age
Application Last Date : 12.07.2021
Website : https://www.udacity.com/scholarships
UDACITY AWS Machine Learning Scholarship
AWS Machine Learning Scholarship Program 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.
Who is Eligible?
** Anyone 18 years of age and older is encouraged to apply.
** Udacity employees and individuals that reside in countries subject to U.S. trade restrictions are ineligible to apply.
How It Works?
The AWS Machine Learning Scholarship program is for all developers interested in expanding their AWS machine learning skills and expertise.
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 modular code and also introduce key AWS machine learning technologies, namely Amazon AI Services and Amazon AI Devices and apply their skills in the AWS lab environment.
At the completion of the course, learners will receive a certificate for having completed the foundational course.
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 Machine Learning Engineer nanodegree.
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.
Timing
** 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.
FAQs
1. 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)
2. 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.
3. 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.
4. 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.