Natural language processing is a key component in many data science systems. David Talby, Claudiu Branzan, and Alex Thomas lead a hands-on tutorial on scalable NLP, using spaCy for building annotation pipelines, Spark NLP for building distributed natural language machine-learned pipelines, and Spark ML and TensorFlow for using deep learning to build and apply word embeddings.