Explore advanced Natural Language Processing techniques using Apache Spark NLP in this hands-on deep-dive session. Learn to implement state-of-the-art NLP tasks including document classification, named entity recognition, sentiment analysis, spell checking and correction, grammar understanding, question answering, and translation. Edit and run executable Python notebooks while discovering the latest advances in deep learning and transfer learning, from BERT-based embeddings to T5 transformer and MarianNMT models. Gain insights into the scalability and performance of Apache Spark NLP, which can natively utilize Apache Spark clusters and leverage modern processors from Intel and Nvidia. Understand why this open-source library is widely adopted in enterprise environments and how it achieves optimal accuracy, speed, and scalability for language understanding tasks.