A comprehensive introduction to neural networks and their role in machine learning and artificial intelligence. The material explains fundamental concepts such as artificial neurons, network architectures, weights, activation functions, learning algorithms, and backpropagation. It also introduces how neural networks can be trained to solve classification and prediction problems, providing a foundation for understanding modern deep learning techniques.