Our deep learning introductory course explores the foundational, theoretical, and philosophical aspects of the field. This 2-day on-site workshop gives participants additional time to work with Artificial Neural Networks, the basis for most applications in deep learning and artificial intelligence. Participants gain hands-on experience building and testing models using the industry's most widely-used tool, Python. Here is a sample of our curriculum: Introduction to Deep Learning (DL) Details: Understanding reality vs. hype of DL Artificial Neural Networks (ANNs): Perceptrons, Recursive Neural Networks (RNNs), Convolutional Neural Networks (CNNs) Backpropagation and hyperparameters Visualizing ANNs with TensorPlayground and 2D CNN MNIST demonstration DL labs in Python via Google Colaboratory with applications in Keras/TensorFlow Recommended for analysts and developers with some coding experience in Python and previously taken "Introduction to Machine Learning with Python"