Deep learning is a foundational concept in AI that involves using neural networks with many layers to analyze various levels of abstractions in data. The architecture of deep learning models allows them to learn and represent complex patterns in large datasets efficiently. Techniques like convolutional neural networks (CNNs) for image processing and recurrent neural networks (RNNs) for sequential data like text, highlight its diverse applications.