Dive deep into deep learning by exploring foundational neural network models and hands-on frameworks like TensorFlow and PyTorch. This beginner course introduces essential architectures including CNNs, RNNs, GANs, and Autoencoders, providing practical experience in building and training models using popular deep learning libraries.