Description: Artificial Intelligence and Machine Learning: From Foundations to Generative AI, LLMs, Computer Vision, and NLP provides a comprehensive exploration of modern AI, beginning with fundamental concepts and progressing to advanced technologies shaping today's intelligent systems. The book covers machine learning principles, supervised and unsupervised learning, neural networks, deep learning, and essential AI methodologies.It further explores Generative AI, Large Language Models (LLMs), prompt engineering, computer vision, and Natural Language Processing (NLP), highlighting their architectures, techniques, applications, and real-world use cases. Practical examples and contemporary case studies help readers understand how intelligent systems are designed, trained, evaluated, and deployed.Designed for students, educators, researchers, and technology professionals, the book bridges theoretical foundations with practical applications. It provides a structured pathway for understanding the evolution of AI and developing the knowledge required to work with emerging intelligent technologies across healthcare, finance, education, industry, cybersecurity, and other domains.