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This book offers a wide-ranging study of generative AI agents, a trip from fundamental principles to practical implementations in the real world. Part I presents fundamental concepts, development of generative agents, machine mechanics, and major problems. Part II dives into technical aspects including RAG, agent architectures, memory systems, and fine tuning techniques, including cross-domain abilities. Part III presents real use cases from the industries in conversational AI, creative tasks, productivity tools, automation, and autonomous decision-making with the practical applications. Part IV covers the topic of real-time performance, scalability, and the road to Artificial General Intelligence (AGI), as well as its ethics. Written for technical specialists and innovators, the book integrates theory, implementation strategies, and multiple-choice exams to reinforce learning, making the book an important read for learning and applying generative AI agents effectively in industries.