Natural Language Processing with Python

From text classification to building your own language models

★ 4.7 (9,870 students) · 44 hours total · Certificate of completion

Created by Dr. Sneha Iyer

What you'll learn

Tokenize, clean and preprocess text at scale

Work with word embeddings — Word2Vec, GloVe, FastText

Fine-tune BERT and RoBERTa for classification tasks

Build sequence-to-sequence models for translation

Implement question answering with extractive models

Build and deploy an NLP API with HuggingFace + FastAPI

About This Course

A comprehensive NLP course covering tokenization, embeddings, transformers, and fine-tuning large language models on custom datasets. Build real applications: sentiment analysis, named entity recognition, question answering, and text generation.

Course Curriculum

8 weeks · 44 hours total

Requirements

Python intermediate level
Basic ML knowledge
Linear algebra basics

Your Instructor

Dr. Sneha Iyer

AI & Machine Learning Expert

An industry practitioner actively working in AI & Machine Learning. Brings real-world experience and production-grade examples to every session. Known for clear explanations and strong student outcomes.

★ 4.7 instructor rating · 9,870 students taught

Student Reviews

4.7

★★★★★

Course Rating

5★ 68%

4★ 24%

3★ 6%

2★ 1%

1★ 1%

Ravi M.

2 weeks ago

★★★★★

Absolutely fantastic course! The instructor explains complex concepts with ease, and the hands-on projects really solidified my understanding. Already applied several techniques at work.

Sakshi T.

1 month ago

★★★★★

Best course I've taken on this topic. The live sessions are incredibly valuable — you can ask questions in real time and get immediate feedback. Worth every rupee!

Karthik R.

1 month ago

★★★★

Very practical and well-paced. The project-based approach sets this apart from other online courses. Would appreciate a few more practice exercises, but overall excellent.

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