In the era of ubiquitous cloud computing, efficient resource management and load balancing are critical to ensuring optimal performance and reliability of services. The dynamic and unpredictable nature of real-time tasks presents significant challenges in cloud environments, necessitating advanced techniques to handle the complexity of resource allocation and task scheduling. This book, "Load Balancing of Cloud Resources for Real-Time Tasks Management using Deep Learning," explores the integration of deep learning methodologies to enhance load balancing mechanisms and effectively manage real-time tasks in the cloud.