International Journal of Research and Development in Engineering Sciences https://www.ijrdes.com Srinadh Unnava 2 5 (September - October) 2020 10 September-October enSocial NetworksSpam DetectionFake User IdentificationMachine LearningData MiningBehavioral Analysis Elearning has emerged as a transformative approach in modern education enabling flexible accessible and costeffective learning experiences However traditional elearning systems often face challenges such as limited scalability high maintenance costs and performance issues The integration of cloud computing into elearning environments offers a promising solution to these limitations Cloudbased elearning platforms provide ondemand resources data storage and computational power that can be dynamically allocated based on user needs This integration supports realtime collaboration content sharing and remote accessibility enhancing both teaching and learning efficiency Additionally cloud computing ensures data security system reliability and cost optimization through virtualization and serviceoriented architectures This review explores the key benefits architecture and challenges of implementing cloud computing in elearning systems It also highlights future research directions including adaptive learning models data analytics and the role of Artificial Intelligence AI in cloudbased education The study concludes that cloudenabled elearning represents a sustainable and scalable solution for global education in the digital era Copyright (c) 2026 International Journal of Research and Development in Engineering Sciences. All rights reserved. 2020 All Rights Reserved