Artificial intelligence (AI) reshapes the landscape of education, with personalized learning emerging as a promising application. By analyzing individual student data and adapting content, pace, and feedback to each learner's needs, AI may transform traditional instruction into a more tailored and effective experience. This shift also raises important questions about privacy, equity, and the role of teachers in AI-driven classrooms. As education systems explore the possibilities of AI, examining both the benefits and the challenges is crucial. Further exploration into how AI is redefining personalized education may reveal new innovations in the future of learning. Artificial Intelligence and the Future of Personalized Education explores how AI drives the development of personalized education by adapting learning experiences to individual student needs, preferences, and performance. It examines the benefits, like increased engagement and improved outcomes, as well as challenges like data privacy, accessibility, and the role of educators. This book covers topics such as chatbots, lifelong learning, and special education, and is a useful resource for educators, computer engineers, academicians, researchers, and scientists.