AWS provides a cost-effective way to teach courses in distributed computing, artificial intelligence, data structures, and other compute and storage-intensive subject matter. In the past, such courses would have required extensive hardware and network infrastructure. Now, it’s merely a matter of providing each student with access to the global computing infrastructure and storage capacity of the AWS cloud.

To assist educators around the world in providing cloud computing instruction, AWS offers Teaching Grants supporting free usage of AWS for students in eligible courses. The grants will provide educators up to $100USD in free usage for each student enrolled in courses with Amazon Web Services as part of the curriculum. If you are an educator from an accredited university with an active AWS user account, apply for a grant by filling out the form below.

If you are awarded a Teaching Grant, each students’ $100 credit will be good for up to 1 year from the time AWS confirms your grant award or until the usage credits have been fully utilized in the 1 year course grant time frame. Only one grant can be awarded to an individual educator per course, but an individual educator may apply for up to two courses running concurrently.

Teaching Grants will enable usage of AWS infrastructure services for coursework and student projects. AWS services supported in the grants include Amazon EC2, Amazon S3, Amazon SimpleDB, Amazon RDS, Amazon SQS, Amazon CloudFront and Amazon Elastic MapReduce. Cluster GPU Instances for Amazon EC2 are only available for grant recipients on a limited basis by written consent of the program administrator.

In addition, a number of educators around the world have already built courseware for AWS concepts, including:

• University of Maryland Introduction to Cloud Computing
• Harvard University CS 50 introductory programming course

Application Form

Apply for an AWS Teaching Grant here:

The information you provide is subject to the Amazon.com Privacy Notice. Grant recipients will be notified by email. Your participation in the AWS in Education Grant Program is subject to the general Amazon Web Services Customer Agreement and the AWS in Education Grant Program Terms and Conditions.

AWS in Education will review and support selected research projects with grants that offer free access to most AWS infrastructure services. Often, large research projects require extensive compute power and storage infrastructure to complete. Now, researchers around the world have access to the global computing infrastructure and storage capacity of the AWS cloud. Instead of purchasing a large amount of hardware, researchers can get started by simply opening an AWS account. And, with services like Amazon Elastic MapReduce, much of the heavy lifting of provisioning and configuring Hadoop clusters for data-intensive processing is eliminated.

AWS in Education will evaluate academic research support proposals from active faculty at accredited universities and colleges throughout the year. We will review and award select recipients 4 times a year. Criteria include but are not limited to the uniqueness of the work, application of Amazon Web Services, and the ability to disseminate the work publicly via papers, events, or public relations. Grant amounts will vary depending on the research proposal and usage requirements documented in the proposal. Grants will be in the form of credits applicable to AWS services. EC2 usage within the grants will be for on-demand instances only.

The next deadline for quarterly research grant applications is July 14, 2013.

If you are awarded a Research Grant for free usage of AWS, the grant will be good for 2 years or until the usage credits have been fully utilized in the 2 year research grant time frame. Academic researchers who receive AWS grants may apply for future grants via the same application and review process with eligibility for a maximum of two grant awards in one calendar year. A number of academic researchers around the world have already chosen AWS to support their research including:

• The University of Oxford Malaria Atlas research on AWS
• The University of California, Berkeley RAD lab

Application Form

The information you provide is subject to the Amazon.com Privacy Notice. Grant recipients will be notified by email. Your participation in the AWS in Education Grant Program is subject to the general Amazon Web Services Customer Agreement and the AWS in Education Grant Program Terms and Conditions

AWS in Education is proud to support student organizations around the world and compelling entrepreneurial student initiatives including Project Olympus at Carnegie Mellon, Teams in Engineering Service at the University of California, San Diego, and the “3 Day Start Up” event at the University of Texas, Austin. AWS provides Project Grants supporting free usage of AWS to student organizations and student entrepreneurial projects. To apply, please submit the form below.

For students wanting to use AWS for self-directed learning, getting started is easy with our tutorials on asynchronous messaging, consensus algorithms with Amazon EC2, priority queues with Amazon SQS, and Representational State Transfer with Amazon S3.

Getting Started Tutorials

Asynchronous Messaging (pdf)

Consensus Algorithms with Amazon EC2 (pdf)

Data with SimpleDB (pdf)

Priority Queues with Amazon SQS (pdf)

REST with Amazon S3 (pdf)

Application Form

Belong to or know of a student organization that wants to work with AWS? We’d love to hear from you:

The information you provide is subject to the Amazon.com Privacy Notice. Grant recipients will be notified by email. Your participation in the AWS in Education Grant Program is subject to the general Amazon Web Services Customer Agreement and the AWS in Education Grant Program Terms and Conditions

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AWS in Education offers solutions for university administrators looking to use cloud computing to be more efficient and cost-effective in the university IT infrastructure. Organizations in the AWS ecosystem, including Independent Software Vendors (ISVs) and Systems Integrators (SIs), are building applications and services on AWS for education customers. AWS in Education works with many ISVs and SIs to bring solutions for common education infrastructure challenges like storage, disaster recovery, archiving and content delivery.

AWS in Education Solutions Providers:

HyperStratus is a Silicon Valley-based consulting firm offering cloud computing education, strategy, application architecture, and project management and implementation services. HyperStratus clients include Sun Microsystems, Applied Biosystems, and the Silicon Valley Education Foundation (SVEF). See the SVEF case study.

Moonwalk is a privately owned company specializing in large-scale data management solutions. Moonwalk is used by major organizations across the Banking, Healthcare, Government, Research and Development, Education and Aerospace industries.

RightScale is committed to supporting educational uses of cloud computing. We believe working with educational institutions will support new applications for cloud computing, and offer the next generation more options for deploying their scientific or business applications.

The RightScale Education program provides RightScale’s Cloud Management Platform to institutions that want to harness the scalable, on-demand power of Amazon Web Services cloud computing.

Sonian provides educational institutions with a secure, scalable and affordable Hosted Email Archiving and eDiscovery service powered by the Amazon Web Services cloud. The Sonian Archive Service supports all major messaging systems and is designed to help educational institutions meet there growing compliance, litigation discovery and storage management needs around email.

The VMLogix education program for universities and education institutes provides virtual lab management software which enables sophisticated management and automation capabilities to manage a virtual lab (including infrastructure, configuration environments and user management) running on the Amazon Web Services cloud.

Capabilities include the ability to self-serve and build, snapshot, share and deploy complex n-tier machine environments on-demand, the ability to manage and orchestrate virtual computer training labs and to drive a dramatic reduction in the manual effort, time and IT resources required to develop and maintain higher quality software applications..

AWS in Education is proud to support selected research projects in machine learning and big data analysis with grants that offer free access to AWS infrastructure services. We are particularly interested in supporting novel applications in the area of distributed data transformation, feature discovery and feature selection, large-scale and/or online classification, regression, recommendation and clustering learning as well as structure discovery. AWS already provides some building blocks for developing these applications ranging from Elastic MapReduce for Hadoop analytics to fast and scalable storage with Amazon DynamoDB.

AWS in Education will evaluate proposals throughout the year and we will review and award select recipients 4 times a year. Criteria include but are not limited to the novelty of the work, application of existing Amazon Web Services, the scalability of the proposed ideas and the ability to disseminate the work publicly via papers, events, or public relations. Grant amounts will not vary across research proposal and are set on an annual basis; in 2013, a grant will be in the form of credits applicable to AWS services in the total amount of 20K USD. EC2 usage within the grants will be for on-demand instances only.

The next deadline for quarterly machine learning research grant applications is July 14, 2013.

If you are awarded a ML research grant for free usage of AWS, the grant will be good for 2 years or until the usage credits have been fully utilized in the 2 year research grant time frame. Academic researchers who receive AWS grants may apply for future grants via the same application and review process with eligibility for a maximum of two grant awards in one calendar year.

Application Form

Apply for an AWS Machine Learning Grant here:

The information you provide is subject to the Amazon.com Privacy Notice. Grant recipients will be notified by email. Your participation in the AWS in Education Grant Program is subject to the general Amazon Web Services Customer Agreement and the AWS in Education Grant Program Terms and Conditions