This course provides an introduction to the application of deep learning methods in chemical and biological engineering. The course will cover the fundamental concepts and techniques in deep learning, such as deep neural networks, backpropagation, convolutional and recurrent neural networks, and transformer models. The course will focus on applying these methods to solve problems in chemical and biological engineering, including molecule and reaction property prediction, drug discovery, process monitoring and control, etc.