Recent progress in artificial intelligence has spurred considerable interest in its applications for earth science problems. To expand our knowledge of this up-rising research area, this course overviews and discusses recent progress on the deep learning applications on studying climate change and extreme events. The topics cover applying deep learning technique to detect and quantify climate change signals, improve seasonal prediction skill, and enhance our understanding of various components in the earth system. Neural networks, particularly salient in processing image, are the major target tool in this class, as the spatial information is crucial for our physical understanding in climate change and extreme events. Students are expected to lead paper discussion and complete their deep learning projects with underlying physics or mechanism as well as interpretability addressed.