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Advanced Natural Language Processing

Instructor led best course for learning advanced NLP concepts and developing NLP application for information extraction, information retrieval and many more.

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4.7

Rating

25 Hrs

Duration

Intermediate

Level

20

Assignments

What you'll learn

Vector space model for information retrieval and search engine
Semantic analysis and language modeling
Information extraction and Named entity recognition
Natural language understanding and generation

Who should take this course

Anyone with prior knowledge in python, Machine Learning and NLP
Anyone who wants to develop Language modeling and NLU systems

Skills you'll gain

Python programing
Information retrieval
Search engine
Semantic analysis
Recommendation system
Language modeling
Document summarization
Natural language understanding

Course contents

Vector space model
Case study: Creating a document search engine

Transformer based embeddings
Semantic similarity

Named Entity Recognition
Entity relationship
Entity linking
Case study on NER

Collaborative filtering
Content-based filtering
Hybrid approaches

Overview of LM
Architecture of BERT model
How to use pretrained LM
Architecture of GPT model

Document Summarization
Case study: News summarization using pretrained LM
Natural Language Understanding (NLU)
Natural Language Generation (NLG)

AI Agents for beginners

This course will focus on understanding AI agents and how to use them create persona to perform complex, multi-step actions and make decisions independently.

LLM RAG for beginners

This course includes how to uses LLM and prompt engineering for question answering, reasoning, text summarization ect. Also allowing LLM to access knowledge from external sources using RAG.

Advanced Python programming

This Module allows user to create a digital twin for any document(e.g pdf, word).