A comprehensive, project-driven course covering end-to-end natural language processing pipelines. You’ll learn tokenization, word embeddings, transformer architectures, named entity recognition, sentiment analysis, text classification, sequence-to-sequence models, and production deployment with MLOps best practices. Every module includes real-world datasets and code you can ship to production.