Introduction to deep learning, with applications to modern geophysical research. Supervised and unsupervised learning with spatiotemporal data; architecture design; deep generative models; solving partial differential equations and operator learning; physics-informed deep learning. The course will address data requirements, current limitations, and the role of machine learning in the future of geophysics.