This Natural Language Processing (NLP) course for 2026 provides a modern introduction to how artificial intelligence understands and processes human language. It is designed to help learners grasp both the foundational concepts and the latest advancements in NLP as used in today’s AI systems.

The course explains how machines convert raw text and speech into structured data that can be analyzed using algorithms. You will learn the core stages of NLP, including text preprocessing, tokenization, feature extraction, and language modeling. It also introduces key techniques such as sentiment analysis, text classification, and named entity recognition.

In addition, the course highlights how deep learning and transformer-based models have transformed NLP, powering technologies like chatbots, virtual assistants, translation systems, and large language models. These concepts are explained in a practical and easy-to-understand way, making it suitable for beginners and intermediate learners.

This course is provided by Simplilearn, a well-known platform for technology and career-focused learning. It is ideal for students, developers, and AI enthusiasts who want to build a strong understanding of NLP and its applications in modern artificial intelligence systems.