Examines how to analyze, interpret, and generate human language using cutting-edge models and techniques. Studies text analytics and language processing in-depth. Explores foundational concepts, such as tokenization and bag-of-words representation; delves into modern language models and techniques, such as LLMs and BERT; and covers application building. Explores corporate contextual implementations and ethical considerations in natural language processing. Emphasizes analytical skills, model development, application development, and ethical understanding.Offers students an opportunity to engage in hands-on labs and assignments.