Basics of Natural Language Processing

Yes. This is a free online self-paced course designed for beginners.

You will learn the basics of text data, tokenization, sentiment analysis, text classification, chatbots, and language models.

No. The course focuses on beginner-level NLP concepts and does not require prior coding experience.

Students, beginners, freshers, and professionals from any background interested in AI and language technologies can join.

Yes. Learners receive an e-Certification after completing the course.

Yes. The course is designed for complete beginners and explains NLP concepts in simple language using real-world examples.

The Basics of Natural Language Processing course is designed as a 2–3 week online self-paced course.

Yes. The course introduces chatbots and virtual assistants as important real-world applications of natural language processing.

Yes. NLP is an important foundation for understanding language models and generative AI, so this course is useful before moving into advanced NLP and generative AI topics.

The course explains text data, tokenization, sentiment analysis, chatbots, and language models using simple examples without requiring prior NLP, programming, or advanced mathematics knowledge. The Basics of Natural Language Processing course provides a simple and structured introduction to how computers understand and process human language. It helps learners build a foundation in text data, NLP techniques, chatbots, sentiment analysis, and language-based AI applications.