Lab materials for the Full Stack Deep Learning Bootcamp where students build a handwriting recognition system from scratch. Uses Keras for model development with EMNIST character data, CTC loss for sequence prediction, and Weights & Biases for experiment tracking. Covers parallel training, model evaluation, REST API packaging, Docker containerization, AWS Lambda deployment, and monitoring for data distribution shifts.