Explore how machines understand, interpret, and generate human language. Covering the basics of text preprocessing and traditional NLP techniques, such as tokenization and sentiment analysis. As you progress, you'll delve into advanced topics like word embeddings and deep learning models such as Transformers and BERT, which power state-of-the-art language applications like chatbots, translation services, and more. This section will equip you with the skills to apply NLP in various real-world scenarios, bridging the gap between human language and machine understanding.