Authors

Y Mohan Das

Department of Computer Science Engineering (Data Science), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Vennapusa Hemavathi

Department of Computer Science Engineering (Data Science), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Lakkasani Yaswanth Kumar Reddy

Department of Computer Science Engineering (Data Science), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Shaik Mohammed Kamil

Department of Computer Science Engineering (Data Science), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Vadde Naveen

Department of Computer Science Engineering (Data Science), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Kapu Hemanth Reddy

Department of Computer Science Engineering (Data Science), Gates Institute of Technology, Gooty, Andhra Pradesh, India

Abstract

The evolution of education in the digital age has led to a significant transition toward online learning platforms. This project introduces a feature-rich Cloud Educational Platformpowered by Amazon Web Services (AWS), offering a scalable, secure, and highly available solution for modern education. The system supports seamless course creation, organization, and management, enabling educators to deliver engaging content and monitor student performance effectively. Key functionalities include intuitive content creation tools, real-time collaboration, automated assessments, and comprehensive analytics. By leveraging AWS's cloud infrastructure, the platform ensures continuous accessibility, automatic scaling, and stringent data security. This integration provides a reliable and interactive learning environment where both students and educators can engage with confidence.

Keywords

Amazon Web Services Cloud Computing Educational Platform Online Learning Scalability Data Security High Availability

Citation of this Article

Y Mohan Das, Vennapusa Hemavathi, Lakkasani Yaswanth Kumar Reddy, Shaik Mohammed Kamil, Vadde Naveen, & Kapu Hemanth Reddy. (2025). A Cloud-Based Educational Platform Powered By Amazon Web Services. Current Journal of Engineering and Science Research. 2(4), 7-11. Article DOI: https://doi.org/10.47001/CJESR/2025.204002

Licence Copyright (c) 2026 Current Journal of Engineering and Science Research. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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