Natural Language Processing (NLP) Full Course – Beginner to Advanced [2026]

This comprehensive NLP course by edureka! teaches Natural Language Processing from beginner to advanced level using Python. The course starts with the fundamentals of NLP and gradually introduces advanced AI and Generative AI concepts used in modern language applications.

You will learn essential NLP techniques such as tokenization, stemming, lemmatization, text classification, text mining, and context-free grammar. The course also covers supervised and unsupervised learning methods, along with Machine Learning algorithms including Decision Trees, Random Forests, and Support Vector Machines.

Advanced sections explain neural networks, recurrent neural networks (RNNs), transformers, Large Language Models (LLMs), Generative AI, LangChain, and Retrieval-Augmented Generation (RAG). Learners gain hands-on experience using popular Python libraries like NLTK, spaCy, and Hugging Face for building real-world NLP applications.

The course is ideal for students, developers, AI enthusiasts, and aspiring NLP engineers who want practical knowledge of language processing and conversational AI systems. By the end of the course, learners will understand how machines process human language and how modern AI chatbots and text-generation systems work.