Category: Education

In this post, we discuss how the University of Johannesburg worked with CX/SIM, an AWS Partner, to develop an AI-powered service automation chatbot that increased student engagement and reduced costs.

To support education leaders on their AI journey, we’ve developed a practical guide that maps real-world challenges to proven AI use cases. While not exhaustive, these examples serve as inspiration—highlighting what others have achieved and helping you explore how AI can address your institution’s priorities

For academic institutions leveraging cloud services, it is important to proactively manage and optimize cloud costs. In this post, we explore 10 tips to help control cloud costs using Amazon Web Services (AWS).

In this blog post, we explore the AI for Teaching & Learning Framework on AWS, and discuss how it is addressing the evolving needs of higher education in the digital age.

As European institutions race to meet ambitious digital transformation goals for 2024-2029, workforce skills development has become critical. AWS is addressing this challenge head-on with specialized learning solutions designed specifically for EU government professionals. In this post, we explore how AWS Skill Builder is helping create the digitally skilled workforce Europe needs.

In today’s digital age, access to engaging educational content remains a critical challenge globally. Worldreader, a pioneering nonprofit organization, is tackling this challenge head-on. In this post, we explore how combining cloud computing capabilities with generative AI on AWS has enabled Worldreader to scale their impact while maintaining the quality and educational value of their content.

AWS and the University of Luxembourg have signed a Memorandum of understanding (MoU) to enhance education through the use of cutting-edge cloud technology. The MoU aims to strengthen the collaboration in cloud computing, focusing on skills development, research, and artificial intelligence (AI) integration. Read this post to learn more.

When Siriraj Medical Research Center planned their “Nanopore workshop: bacterial genome bioinformatics series” for more than 60 researchers, they faced a common challenge: how to provide consistent, high-performance computing environments for complex genomic analyses. AWS offered the solution through Amazon WorkSpaces, transforming how Siriraj Medical Research Center delivers hands-on bacterial genomics training.

In today’s complex procurement landscape, creating comprehensive and accurate statements of work scopes can present a challenge for university procurement teams. To address this growing challenge, the Digital Transformation Hub (DxHub) at Cal Poly—powered by Amazon Web Services (AWS) and part of the AWS Cloud Innovation Centers (CIC) program—took action. The DxHub collaborated with the university’s Strategic Business Services department to create “Scope Builder,” a generative AI-powered application that aims to revolutionize how procurement specialists develop work scopes for university requests for proposals (RFPs) and contracts.

Personalized therapy for diseases such as cancer utilizes an individual’s unique genomic profile to guide treatment decisions. However, the effect and clinical significance of most genetic variants are uncertain. Accurate classification of the clinical significance of novel genetic variants requires extensive curation of peer-reviewed biomedical literature. In recent years, generative AI has demonstrated promising results in information extraction and text summarization. In this post, we explore how various AWS-native solutions can be used to create a secure, retrieval-augmented, and cost-effective biomedical chatbot designed to facilitate biocuration.