Designed as a guiding light for those stepping into the intricate world of generative AI, this book presents a meticulous journey through fundamental concepts, bridging theory with practical application. Aimed at computer science teachers and learners alike, each chapter is crafted to unravel the complexities of generative models, from the foundational principles to their diverse applications. The handbook is structured to foster a deep understanding of GANs, NLG, and other key components, nurturing the growth of an inquisitive mind eager to explore the possibilities and implications of artificial intelligence. With clear explanations, illustrative examples, and insightful case studies, this comprehensive resource aims to empower both educators and students, providing a solid framework to comprehend, implement, and leverage generative AI within the realms of academia and beyond.