Earn aFree Nanodegree in Machine Learning From Udacity ٍFunded By Amazon

Deadline:

October 31, 2019.

Location:

Online

(Award)

Description

AWS DeepRacer Scholarship Challenge

AWS DeepRacer course consisting of several short modules that will prepare you to create, train, and fine-tune a reinforcement learning model in the AWS DeepRacer 3D racing simulator. Throughout the program–including while you progress through the course and while you work on your racing submissions–you’ll have access to a custom scholarship student community where you can get pro tips from experts and exchange ideas with your classmates.

More Details

Each month you’ll be able to pit your skills against others in virtual races in the AWS DeepRacer console. Students will compete for top spots in each month’s unique race course. Students that record the top lap times in August, September, and October 2019 will qualify for one of 200 full scholarships to the Machine Learning Engineer Nanodegree program.

Opportunity Focus Areas:

Machine Learning Engineer

Required Languages

English.

Eligible Countries

ALL WORLD COUNTRIES.

Program Period

The program begins August 1 and will run through October 31, 2019.

You can join the scholarship community at any point during these 3 months and immediately enroll in Udacity’s specialized AWS DeepRacer course.

Eligibility Requirements (Criteria)

The AWS DeepRacer Scholarship Challenge is open to all students,
18 years of age or older, interested in machine learning.
We recommend students have a basic knowledge of Python.

Opportunity Cost

(Award)

200 SEATS Top performers in the AWS DeepRacer Scholarship Challenge will earn one of 200 full scholarships to:Machine Learning Engineer NANODEGREE PROGRAM

How to Apply

First Step: Need to Create account UdaCity then you could join the course.

Second Step: Make AWS account from here

(To ensure you can qualify for one of the Nanodegree scholarships, you must use the same email address for both Udacity and AWS DeepRacer. Udacity and AWS DeepRacer will use student email addresses to identify top racers from the program.)