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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

Generative artificial intelligence application for teaching and learning using amazon web services

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  • Generative artificial intelligence application for teaching and learning using amazon web services

Kyar Nyo Aye *

Department of Computer Science, Naypyitaw State Polytechnic University, Naypyitaw, Myanmar.

Research Article

World Journal of Advanced Engineering Technology and Sciences, 2025, 16(01), 651–658

Article DOI: 10.30574/wjaets.2025.16.1.1253

DOI url: https://doi.org/10.30574/wjaets.2025.16.1.1253

Received on 23 June 2025; revised on 28 July 2025; accepted on 31 July 2025

The realm of education has witnessed a seismic shift with the advent of Generative Artificial Intelligence (AI), which is poised to redefine teaching and learning practices. This technological innovation, characterized by its ability to create content, simulate environments, and generate personalized learning experiences, offers educators unprecedented tools to enhance pedagogical methods. Generative AI, with its capability to produce text, images, and even audio, extends beyond conventional educational resources, providing a dynamic and interactive platform that can cater to diverse learning needs. This paper presents Generative AI application for teaching and learning using Amazon Web Services (AWS) such as Amazon Bedrock, Amazon Elastic Container Service, Application Load Balancer, Amazon DynamoDB and Amazon S3.

Generative AI; Foundation Model; Amazon Web Service; Cloud Computing

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-1253.pdf

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Kyar Nyo Aye. Generative artificial intelligence application for teaching and learning using amazon web services. World Journal of Advanced Engineering Technology and Sciences, 2025, 16(01), 651-658. Article DOI: https://doi.org/10.30574/wjaets.2025.16.1.1253.

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