Prerequisites
To access AWS DeepRacer Student and participate, you need:
• To be a student who is at least 16 years old and currently enrolled in a high school, community college, or college.
• A valid email address.
Step 1: Sign up for AWS DeepRacer Student
You can sign up for AWS DeepRacer Student by using the URL provided in this procedure. When you sign up, you create an AWS Player account. This account can be used with certain other AWS services. If you already have an AWS Player account, you can use that account with AWS DeepRacer Student.
1. Open the http://deepracerstudent.com/ landing page.
2. Choose Get started.
3. On the Sign in page, if you don't already have an AWS Player account, choose Sign up.
NoteIf you already have an AWS Player account, enter your information here. For more information about the AWS Player account, see What are AWS Player accounts? (p. 5) 4. On the Sign up page, enter the following information:
• Email address
• Password
5. Choose Sign up. An email with a confirmation code is sent to the email address you specified.
6. In the pop-up that appears, enter your verification number and choose Verify.
7. On the AWS DeepRacer Student Sign in page, enter your Email address and Password and choose Sign in.
Step 2: Complete sign-up for AWS DeepRacer Student
8. On the Welcome to the AWS DeepRacer Student pop-up, choose Complete sign-up.
NoteYou can choose I will do this later. Sign out for now if you want to sign up at a later time.
Step 2: Complete sign-up for AWS DeepRacer Student
Complete the section to create your AWS DeepRacer Student account. All fields are required unless otherwise stated.
1. Fill in the fields in the Add your personal information to create your AWS DeepRacer Student account section to create your account.
2. Select the checkbox to certify that you are a student enrolled in either high school or a university or community college.
NoteIf you are a high school student, do the following:
• For School, choose Other. Then, add the name of your high school to the field Enter the name of your school.
• For Current or prospective major, choose Undecided or choose a possible prospective major from the list.
Step 3: (Optional) Read about and opt in to AWS AI
& ML Scholarship consideration
Read the information about the AWS AI & ML Scholarship and for whom it is intended in the Do you want to be considered for the AWS AI & ML Scholarship program? section.
1. If you meet the criteria for the AWS AI & ML Scholarship, you can opt in to be considered. Choose the checkbox to confirm that you want to be considered for a scholarship.
NoteIf you don't want to be considered for a scholarship or are undecided, leave the checkbox unselected and choose either I will do this later. Sign out for now. to sign out for now, or Submit to continue without opting in. You can also opt in to consideration for a scholarship when you update your profile.
2. (Optional) Use the dropdown lists to enter your information in the Choose gender and Choose race (US participants only) fields.
3. Choose Submit.
Step 4: Update your profile
To update your profile, use the Your profile page. You can also choose to opt in to the AWS AI & ML Scholarship program.
To update your profile
1. In AWS DeepRacer Student, in the left navigation pane, choose Your profile.
Step 5: Explore AWS DeepRacer Student from the Home page
2. On the Your profile page, in Racer name, choose Change your racer name.
NoteYour racer name can have between 2 and 24 characters. Letters, numbers, and hyphen (-) are allowed.
3. In the Racer name pop-up, enter your racer name and choose Save. If you decide that you don't want to change your racer name, choose Cancel.
4. In the Your profile information section, you can make changes to the following fields:
• Name
5. (Optional) In the Do you want to be considered for the AWS AI & ML Scholarship program?
section, you can view information about the scholarship and how to apply.
a. Select the checkbox to opt in for consideration in the scholarship program.
b. (Optional) Enter your information in the Choose gender and Choose race fields.
c. Choose Submit.
Step 5: Explore AWS DeepRacer Student from the Home page
The AWS DeepRacer Student Home page is the perfect place to start your exploration of all that AWS DeepRacer Student has to offer. From the Home page, you can do the following:
Get started learning the fundamentals of machine learning (ML)
You can use the free course available in the Learn section of AWS DeepRacer Student. This robust offering helps you build a foundation for your machine learning journey with AWS DeepRacer Student.
Practice using your machine learning knowledge
After spending some time using the Learn course, you're ready to create and train an AWS DeepRacer model. For more information, see Training a reinforcement learning model in AWS DeepRacer Student (p. 11).
Compete in AWS DeepRacer Student races
When you've trained your first AWS DeepRacer model, you're ready to join a race. Choose a track and pick a season in which to race. When you've completed racing, you see your model on the leaderboard along with the information and data you need to make changes and improve your model. For more information, see Join an AWS DeepRacer Student race (p. 15).
Check model training hours
When you train and clone models, you use a portion of your free model training time. You can check on your model training hours remaining on the home page.
Check the AWS DeepRacer Student racing calendar
View the racing calendar and start planning for your race day.
Step 5: Explore AWS DeepRacer Student from the Home page Learn about the AWS AI & ML Scholarship
You can find out about the AWS AI & ML Scholarship and what you can do before it launches. For more information, see What is the AWS AI & ML Scholarship program? (p. 2)
View other resources
You can discover other resources that can help you on your exploration of AWS DeepRacer Student such as the Slack channel and AWS DeepRacer website. These resources help connect you to a community of racers and fans sharing tips and insights.
Step 1: Train a reinforcement learning