This chapter examines how AI-powered adaptive learning systems can revolutionize cybersecurity training by providing personalized learning experiences tailored to individual needs, skills, and progress. As traditional one-size-fits-all training approaches become increasingly ineffective in addressing the complex and dynamic nature of cyber threats, AI offers a solution through three key mechanisms: identifying and addressing individual knowledge gaps and skill deficiencies, enhancing learner engagement and retention through interactive content, and leveraging proven learning techniques like spaced repetition and active learning. The chapter presents a comprehensive framework for implementing AI-driven personalized learning, including methods for assessing learner profiles, designing adaptive learning paths, and monitoring outcomes. Through detailed examples and hypothetical scenarios, it demonstrates how organizations can leverage AI to create more effective, engaging, and personalized cybersecurity training programs that strengthen their overall security posture and prepare their workforce for evolving cyber threats.