The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) is transforming the way devices, systems, and people interact in the modern digital world. IoT has enabled billions of connected devices to collect and exchange data, while AI provides the intelligence required to analyze that data, learn from patterns, and make autonomous decisions. Together, these technologies are creating smart environments that enhance efficiency, productivity, safety, and user experiences across industries such as healthcare, manufacturing, transportation, agriculture, and smart cities. This book, Artificial Intelligence for IoT, provides a comprehensive introduction to the principles, technologies, and applications that drive intelligent connected systems. It explores the integration of AI techniques such as machine learning, deep learning, and data analytics with IoT architectures and devices. Through practical examples, real-world case studies, and emerging trends, readers will gain a clear understanding of how AI-powered IoT solutions are designed, deployed, and managed. The book serves as a valuable resource for students, researchers, engineers, and professionals seeking to harness the power of intelligent technologies in an increasingly connected world.