This path teaches you how to build models that can understand, interpret, and generate human language—both written and spoken.

Who it’s for:

Learners interested in building AI products like chatbots, translators, sentiment analyzers, and voice assistants.

What you’ll learn:

• Fundamentals of text preprocessing (tokenization, stemming, etc.)

• Working with large text datasets

• Traditional NLP techniques: TF-IDF, N-grams

• Sentiment analysis and topic modeling

• Word embeddings: Word2Vec, GloVe, BERT basics

• Introduction to Transformers and Large Language Models

• Building and deploying NLP applications (e.g., using Hugging Face, Streamlit)

What you’ll build:

• Projects such as:

  • News article classifier

  • Chatbot for customer support

  • Sentiment analyzer for product reviews

• Lightweight fine-tuning of pretrained models