This guide introduces the core foundations of Artificial Intelligence, covering intelligent agents, machine learning, neural networks, and problem-solving techniques. It explains supervised, unsupervised, and reinforcement learning, along with natural language processing, computer vision, and expert systems. The book also addresses AI tools, model evaluation, ethical issues, and real-world applications across industries. It provides a practical, structured understanding of how AI systems are designed, trained, deployed, and optimized.