Amazon Web Services

Obtaining Access to AWS and the AWS Educate Program

There are two types of accounts you can create within the AWS Educate program. Because of the limitations surrounding the AWS Educate Starter Accounts, it would be best if you create a standard AWS account and link it with an AWS Educate Account. The instructions for doing so are listed below. 

AWS accounts are managed by Amazon Web Services and require a credit card, but you’re free to use any AWS services, and resources on your account persist after your AWS Educate credits are exhausted. AWS Educate Starter Accounts do not require a credit card, but the accounts are more limited and do not allow additional promotional credits to be applied. Additionally, development that occurs in AWS Educate Starter Accounts cannot be transferred to other accounts.

To use your own AWS account with AWS Educate:

  1. If you don’t already have an AWS account, follow the instructions at How do I create and activate a new Amazon Web Services account?
  2. Once you have created an AWS Account, sign in and take note of your 12-digit account ID on the My Account page.
  3. Visit Apply for AWS Educate, and then follow the on-screen instructions to apply. Provide your 12-digit account ID when prompted.
  4. Choose Next.
  5. Follow the on-screen instructions to verify your email address, and then choose Next.
  6. Read the AWS Educate Student Site Terms and Conditions, determine whether you’re eligible and you accept the terms, and then choose Submit to accept the terms. (If you’re ineligible for the program or don’t want to accept the terms, don’t choose Submit, and don’t move forward with the application.)

Your welcome email and AWS Educate promotional credit will arrive within 48 hours. Redeem the credit code on the Credits page of your AWS account.

The AWS promotional credits are applied to applicable services until the credit is exhausted or expires. You receive new credits by email every 12 months until you graduate or are no longer eligible for AWS Educate.

AWS Educate Benefits for Educators and Students

Feature Benefits for Educators Benefits for Students
AWS Credits (annually renewable)
  • $200 in AWS credits per educator
  • AWS Account: $100 in credits at member institutions
AWS Training
  • Free access to labs
  • Free AWS Technical Essentials eLearning course
  • 50% off instructor-led training provided by AWS in the United States, Brazil or Japan
  • 50% off AWS certification exams
  • Access to AWS Technical Essentials Training Course (a $600 value)
  • Free access to labs
Curated Content
  • Free access to AWS content for classes
  • Free access to content contributed by leading educators
  • Ability to select personalized learning pathway with 30+ hours of content per path
  • Earn digital badges that showcase cloud skills
  • Free access to AWS content for homework, labs, or self-study
Collaboration Tools
  • Educator Collaboration Portal access
  • Virtual and in-person events
  • Contribute and rate content
  • Private and public discussion forums
  • Provide feedback on AWS Educate
  • Student Portal access
  • Student portfolio to store projects in one place
  • Access to Job Board and job postings

Tools

Tools for Amazon Web Services
An index highlighting the primary developer tools, SDKs, IDE Toolkits, and Command Line Tools for developing and managing AWS applications.

Getting Started Resource Center
From core concepts to beginner tutorials, find the information you need to start building on AWS.

AI and Machine Learning on AWS
An overview of AI and machine learning capabilities on Amazon Web Services.

Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text.

Amazon Lex
With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly
and easily build sophisticated, natural language, conversational bots (“chatbots”).

Amazon Polly
Amazon Polly is a Text-to-Speech service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.

Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications. Rekognition is based on the same proven, highly
scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily.

Amazon Transcribe
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their
applications.

Amazon Translate
Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation.

Amazon SageMaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy
machine learning models at any scale.

Deep Learning on AWS
You can quickly launch Amazon EC2 instances pre-installed with popular deep learning frameworks, such as Apache MXNet and TensorFlow to
train sophisticated, custom AI models, experiment with new algorithms, or to learn new skills and techniques.

The AWS Machine Learning Blog

Visit the AWS Machine Learning Blog to explore AI and Machine Learning through tutorials, guidance, best practices, and tips and tricks.

A few blog highlights to get you started:

Training

Incentives

Amazon Catalyst 
A program to supercharge innovation in universities, encouraging people in all fields to think big, invent solutions to real-world problems, and make a positive impact on the world

Help

AWS Documentation
Access comprehensive documentation for all aspects of Amazon Web Services

AWS Developer Forums
An active forum for all aspects of AWS related development