AI/ML Techniqueadvanced๐Ÿ†• new#12 in demand

Natural Language Processing (NLP)

Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. It involves techniques for processing text and speech data to perform tasks like translation, sentiment analysis, and question answering.

AI companies are hiring NLP experts to build advanced language models, chatbots, and content analysis tools that power modern applications. The demand surged with the rise of large language models (LLMs) like GPT-4, which require specialized skills to develop, fine-tune, and deploy.

Companies hiring for this:
Amazon AIApple MLCoreWeave
Prerequisites:
Python programmingMachine Learning fundamentalsBasic linear algebra

๐ŸŽ“ Courses

๐ŸŽ“Courseraintermediate

Natural Language Processing Specialization

by Younes Bensouda Mourri, ลukasz Kaiser

This comprehensive specialization covers everything from sentiment analysis to attention models and Transformers, providing practical NLP implementation skills.

๐Ÿ“šUdemy

Generative AI

Unleash the immense potential of Natural Language Processing (NLP) with our comprehensive course, meticulously crafted to transform you from a novice

๐Ÿ“šUdemy

Complete Data Science,Machine Learning,DL,NLP Bootcamp

Are you looking to master Data Science,Machine Learning (ML), Deep Learning (DL) and Natural Language Processing (NLP) from the ground up? This compre

๐Ÿ“– Books

Natural Language Processing with Transformers, Revised Edition

Lewis Tunstall, Leandro von Werra, Thomas Wolf ยท 2023

This revised edition is a practical, hands-on guide to building NLP applications with the modern transformer architectures that power tools like GPT and BERT.

Introduction to Natural Language Processing

Jacob Eisenstein ยท 2023

This comprehensive textbook provides a unified, machine-learning-focused framework for the core topics in NLP, updated to reflect the field's current state.

Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable Outputs from AI Systems

James Phoenix, Mike Taylor ยท 2024

This book directly addresses the crucial modern NLP skill of crafting effective prompts to reliably guide large language models, making it highly relevant for current applications.

๐Ÿ› ๏ธ Tutorials & Guides

The Illustrated Transformer

This visual explanation makes the complex Transformer architecture accessible and understandable for NLP practitioners.

Natural Language Processing (NLP) Tutorial | Data Science ...

Aug 29, 2017 ยท Natural language processing (NLP) is a field of computer science, artificial intelligence and computational linguistics concerned with

Introduction to NLP | NLP Lecture 1 | End to End NLP Course

Nov 25, 2021 ยท This video serves as an introductory guide to Natural Language Processing (NLP). We'll cover the basics, explaining what NLP is and why

Awesome Natural Language Processing (NLP)

A curated list of awesome frameworks, libraries, tools, datasets, tutorials, and research papers for Natural Language Processing (NLP). This list cove

Awesome Deep Learning for Natural Language Processing (NLP)

Machine Learning for Text by Charu C. Aggarwal Natural Language Processing with TensorFlow by Thushan Ganegedara fastText Quick Start Guide: Get start

Learning resources last updated: April 13, 2026