Master Natural Language Processing (NLP) with this complete AI course designed for beginners and advanced learners. Learn how machines understand and process human language using Python and industry-standard NLP libraries like NLTK, spaCy, and Hugging Face Transformers.

This course starts with NLP fundamentals such as tokenization, stemming, lemmatization, text classification, and vectorization. You will then explore machine learning algorithms including Decision Trees, Random Forests, Support Vector Machines, and Neural Networks for NLP applications.

Advanced sections cover Deep Learning, Recurrent Neural Networks (RNNs), Transformers, Large Language Models (LLMs), Prompt Engineering, LangChain, Retrieval-Augmented Generation (RAG), and Generative AI concepts. You will also build real-world NLP applications including sentiment analysis, chatbots, and text generation systems using Python.

The course includes practical coding tutorials, AI projects, interview preparation, and modern NLP workflows used in AI engineering and data science careers. Perfect for students, developers, AI enthusiasts, and anyone looking to build NLP and Generative AI skills in 2026.