We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.
If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”
Customize cookie preferences
We use cookies and similar tools (collectively, "cookies") for the following purposes.
Essential
Essential cookies are necessary to provide our site and services and cannot be deactivated. They are usually set in response to your actions on the site, such as setting your privacy preferences, signing in, or filling in forms.
Performance
Performance cookies provide anonymous statistics about how customers navigate our site so we can improve site experience and performance. Approved third parties may perform analytics on our behalf, but they cannot use the data for their own purposes.
Allowed
Functional
Functional cookies help us provide useful site features, remember your preferences, and display relevant content. Approved third parties may set these cookies to provide certain site features. If you do not allow these cookies, then some or all of these services may not function properly.
Allowed
Advertising
Advertising cookies may be set through our site by us or our advertising partners and help us deliver relevant marketing content. If you do not allow these cookies, you will experience less relevant advertising.
Allowed
Blocking some types of cookies may impact your experience of our sites. You may review and change your choices at any time by selecting Cookie preferences in the footer of this site. We and selected third-parties use cookies or similar technologies as specified in the AWS Cookie Notice.
Your privacy choices
We display ads relevant to your interests on AWS sites and on other properties, including cross-context behavioral advertising. Cross-context behavioral advertising uses data from one site or app to advertise to you on a different company’s site or app.
To not allow AWS cross-context behavioral advertising based on cookies or similar technologies, select “Don't allow” and “Save privacy choices” below, or visit an AWS site with a legally-recognized decline signal enabled, such as the Global Privacy Control. If you delete your cookies or visit this site from a different browser or device, you will need to make your selection again. For more information about cookies and how we use them, please read our AWS Cookie Notice.
The AWS Education Equity Initiative expands access to future skills education for underserved learners globally. Amazon is committing up to $100 million in AWS credits and technical expertise to support socially-minded organizations develop innovative digital learning solutions that utilize cloud and AI technologies.
Turn learning ideas into reality with access to AWS cloud technology, AI services, and technical guidance
Receive AWS credits
Apply for AWS credits to build and scale educational solutions using AWS cloud services and AI technologies. With these credits, organizations can leverage AWS cloud services to create online courses, learning platforms, chatbots, and other digital learning experiences.
Access technical advising from AWS experts
Accelerate the development of learning solutions with expert guidance from AWS Solutions Architects. Receive tailored architectural guidance, best practices for responsible AI implementation, and ongoing optimization support.
Share your impact
Recipients can submit their impact stories for joint storytelling with AWS. These opportunities provide valuable exposure for emerging organization and initiatives.
Build and scale digital learning solutions
"Thanks to Amazon Bedrock, AWS’s service to build and scale generative AI innovations, and the AWS solutions team, Code.org was able to build an AI Teaching Assistant that has helped teachers increase their confidence when teaching computer science and reduces the time they spend assessing student's coding projects by up to 50%. Empowerment and efficiency mean more time for teachers to do their most important work — working with their students."
Eligible organizations include non-profits, governments, socially-minded EdTechs, and corporate social responsibility teams seeking to build digital learning solutions for underserved and underrepresented communities.
What will I receive through the initiative?
Selected organizations will receive AWS credits to build and scale learning solutions and targeted technical advising from AWS Solutions Architects.
How can I apply?
Visit the application link to begin the process. Applications are hosted by the external company, YouNoodle. You can create an account using your preferred sign-in method. AWS will review all submitted applications.
When will I be notified about my application?
Organizations are notified of their submission status within 10-12 business days of completing the application.
What is the selection criteria?
AWS will evaluate applications based on:
Succinct articulation of challenge(s) being faced by underrepresented and underserved learners in accessing future skills learning opportunities
Comprehensiveness of how proposed learning solution addresses challenge(s) outlined
Focus of learning solution on underserved and underrepresented communities and learners
Focus on skills, knowledge, and behaviors helping learners access and maintain jobs in an increasingly technology-driven world
Succinctly defined milestones along with timeline
Clearly defined impact metrics
Detailing and applicability of AWS services within the project scope
Viability of proposed sustainability plan
Cloud building capacity
What do we mean by learner?
We strive to support students and learning along the continuum of kindergarten to career, including trade schools, community colleges, and universities.
What if I don't meet the eligibility criteria? Are there other support options I can explore?
How can I participate in joint storytelling with AWS?
Once you are fully approved, you will be requested to share your impact data with us periodically. Based on this data, we will reach out to you with the most relevant opportunities for storytelling when applicable.
How can I request technical advice from AWS?
If you are an existing AWS customer, please alert your Account Manager that you are seeking technical support and they will let us know. If you are a new AWS customer, once you have completed your application, the team will be in touch with follow-up questions and at that time, you are welcome to describe your need for technical guidance.
What type of technical support does AWS offer?
We support eligible organizations with initial modernization, optimization and migration requests to help you successfully build and scale your learning solution. Please note, this is only in the form of advice, guidance and demos. We do not do any practical development, building, or production of solutions.
What do you mean by future skills education?
By future skills education, we refer to skills, knowledge and behaviours that help learners gain access to, and maintain jobs in today's increasingly tech-driven world. We welcome organizations' definitions of future skills education and you are able to share this as part of the application.