AI & Machine Learning
Generative AI & Large Language Models
How large language models really work — and how to build reliable products on top of them.
5 free lectures$69₹4,499
AI & Machine Learning
Natural Language Processing
Most company knowledge lives in text: tickets, contracts, emails and documents. Learn the techniques that make it searchable and actionable — from bag-of-words and classifiers to embeddings, named-entity recognition and semantic search — with labs you can type into.
What you’ll learn
- Prepare text for machine learning: tokenization, normalization and n-grams
- Build and interpret text classifiers such as spam and sentiment models
- Explain word embeddings and measure meaning with cosine similarity
- Extract people, organizations, dates and amounts with named-entity recognition
- Design keyword, semantic and hybrid search — the retrieval half of RAG
Curriculum
Module 1 · Text foundations
5 lectures- 01Text as dataInteractiveFree16 min
- 02Text classificationInteractiveFree17 min
- 03Word embeddings3D modelFree18 min
- 04Named-entity recognitionInteractiveFree17 min
- 05Semantic searchInteractiveFree19 min
Module 2 · Sequence models
5 lectures- 06Language models and n-gramsIncluded with the course
- 07Recurrent networks for textIncluded with the course
- 08Sequence-to-sequence and translationIncluded with the course
- 09Transformers for NLPIncluded with the course
- 10Fine-tuning pretrained modelsIncluded with the course
Module 3 · NLP in production
4 lectures- 11Information-extraction pipelinesIncluded with the course
- 12Question answering and retrievalIncluded with the course
- 13Multilingual NLPIncluded with the course
- 14Evaluating and monitoring NLP systemsIncluded with the course
Who this course is for
- Engineers building search, support automation or document processing
- Data scientists working with unstructured text
- Product teams planning language features
Before you start
Basic Python. Machine Learning Foundations is helpful but not required.
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Training a team on this?
We can combine Natural Language Processing with other courses into a learning path built around your team’s roles and goals.