The integration of Artificial Intelligence (AI) in drug discovery has significantly transformed healthcare and pharmaceuticals. This book explores the role of AI in transforming traditional processes, integrating biological insights with advanced computational power. It covers foundational concepts like machine learning, symbolic AI, and ethical considerations, and its evolution in various industries, particularly healthcare. AI's contributions include target identification, drug design, virtual screening, and clinical trial optimization. It addresses challenges in traditional methods like high costs, lengthy timelines, and ethical concerns. Advanced AI techniques like machine learning, deep learning, natural language processing, and reinforcement learning are discussed, highlighting their transformative impact on drug discovery's efficiency, accuracy, and accessibility.