Natural Language Processing (NLP) focuses on enabling computers to understand, interpret, process, and generate human language using artificial intelligence and machine learning techniques. It enables organizations to analyze large volumes of textual and speech data for automation, insights, and intelligent decision-making. This training explains core NLP concepts such as tokenization, stemming, lemmatization, part-of-speech tagging, named entity recognition, and sentiment analysis. It also covers deep learning models, transformer architectures, text classification, language modeling, and conversational AI techniques. You will learn how organizations use NLP in chatbots, search engines, recommendation systems, translation tools, and customer support automation. The course also highlights best practices for building scalable, accurate, and production-ready language processing systems.
Showing the single result
