Artificial intelligence is reshaping the manufacturing sector by enabling predictive maintenance—anticipating equipment failures before they occur. Through data-driven insights, industries can minimize downtime and enhance operational efficiency. AI for Predictive Maintenance in Manufacturing explores the intersection of AI, machine learning, and industrial analytics for maintenance optimization. It covers techniques such as anomaly detection, condition monitoring, and fault prediction using sensor data. The book also discusses data preprocessing, model training, and real-time decision-making systems. By integrating theoretical foundations with practical implementations, it provides engineers and researchers with the tools to build intelligent and reliable manufacturing systems.