This NLP Machine Learning & Deep Learning course (2026) by Simplilearn is a comprehensive 8+ hour training for anyone who wants to become an NLP expert. Starting from the basics, it introduces learners to natural language processing fundamentals, including text tokenization, preprocessing (stemming, lemmatization, stop word removal), and feature extraction with Bag-of-Words and TF-IDF.

The course then dives into machine learning models for NLP, such as Naive Bayes, logistic regression, and support vector machines, enabling learners to perform text classification and sentiment analysis. Advanced topics include word embeddings, sequence models, recurrent neural networks (RNNs), LSTM, and transformers, preparing learners for deep learning-based NLP applications.

Alongside technical skills, the course provides guidance on becoming an NLP engineer in 2026, including a detailed career roadmap, in-demand skills, and expected salary insights. Short tutorials on NLP in minutes and free text mining courses are also included for quick learning. By the end, learners will be able to develop end-to-end NLP solutions, ready for careers in AI, data science, or NLP engineering.