This book provides an in-depth exploration of AI's transformative role in pharmaceutical sciences. The book covers foundational concepts, including the history and classification of AI, as well as detailed discussions on AI tools widely used in pharmacy such as GastroPlus, DeepChem, and AlphaFold. It elaborates on AI applications across the pharmaceutical spectrum, including drug discovery, personalized medicine, manufacturing, quality control, nanomedicine, clinical trials, and 3D printing of dosage forms. The text book emphasizes AI’s capacity to streamline drug development, enhance manufacturing process optimization, and improve precision medicine through advanced algorithms like machine learning, deep learning, and reinforcement learning. It also addresses the integration of AI with emerging technologies to deliver patient-centric healthcare solutions and highlights major pharmaceutical companies implementing AI innovation. This book is Structured to serve pharmaceutical professionals, researchers, and students and offers valuable insights into current AI technologies, practical applications, and future trends shaping the pharmaceutical industry. The inclusion of case studies, AI-driven tools, and ethical considerations provides a robust framework for understanding AI’s critical impact on pharmacy practice, research, and industry operations, making it a pivotal resource for advancing pharmaceutical innovation.