Named Entity Recognition Courses and Certifications

Collecting and Preparing Textual Data for Classification

Collect and clean text data for classification: load 20 Newsgroups categories, clean with regex, remove stop words, stem, generate n-grams, and apply NER with POS tagging.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Linguistics for Token Classification in spaCy

Explore linguistic and semantic aspects of NLP for advanced token classification with spaCy, including morphology, entity recognition, semantic similarity, and custom pipeline components.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Practical Applications of spaCy for Real-Life Tasks

Apply spaCy to practical NLP problems through case studies in spam detection, review analysis, and legal-document information extraction.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Natural Language Processing with Sequence Models

1186 ratings at Coursera

Build sequence models for text: an RNN Shakespeare generator, GRU language model, LSTM named entity recognizer, and Siamese network for duplicate question detection.

• Coursera
• 3 weeks, 7 hours a week
• Self-Paced
• Paid Course

Natural Language Processing: NLP With Transformers in Python

2820 ratings at Udemy

Learn next-generation NLP with transformers for sentiment analysis, Q&A, similarity search, NER, and more

• Udemy
• 11 hours 31 minutes
• Self-Paced
• Paid Course

NLP in Engineering: Concepts & Real-World Applications

Apply NLP to engineering problems: build word embeddings with Word2Vec and GloVe, model named entity recognition with neural networks, and optimize using gradient descent variants.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Applied Natural Language Processing in Engineering Part 1

Learn how modern NLP systems work: text classification, named entity recognition, Word2Vec and GloVe embeddings, gradient descent optimization, topic modeling with LSA and LDA, and dependency parsing.

• Coursera
• 7 weeks, 4 hours a week
• Self-Paced
• Paid Course

Edureka

Natural Language Processing Essentials

Learn NLP fundamentals: clean and tokenize text with NLTK and spaCy, extract Bag-of-Words, TF-IDF and Word2Vec features, and build named entity recognition and parsing models.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Entity and Sentiment Analysis with the Natural Language API

Extract entities and run sentiment and syntactic analysis on blocks of text with the Cloud Natural Language API in a hands-on console lab.

• Coursera
• 40 minutes
• Self-Paced
• Paid Course

Packt

Azure AI Fundamentals - Complete AI-901 Certification Guide

Learn to build Azure AI solutions using machine learning, generative AI agents, natural language processing, and speech and vision services for AI-901 certification.

• Coursera
• 8 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Mastering spaCy

Build production NLP pipelines with spaCy: customize tokenizers, write Matcher and DependencyMatcher rules, train custom NER and entity linker models, and add transformer and spaCy-LLM components.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

5 Minutes Engineering

Complete Natural Language Processing in One Shot - 4 Hours

Comprehensive 4-hour Hindi tutorial covering NLP fundamentals, from syntax to advanced applications, with free notes for exam preparation.

• YouTube
• 3 hours 59 minutes
• Self-Paced
• Free Video

Text Analytics 101

1 rating

Extract structured data from text: entity, relation and event extraction, sentiment analysis, and hands-on writing of declarative information extractors for social media, healthcare and finance.

• Cognitive Class
• 6 hours
• Self-Paced
• Free Online Course

Entity and Sentiment Analysis with the Natural Language API

The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.

• Google Skills
• Self-Paced
• Paid Course

Natural Language Processing with spaCy & Python - Course for Beginners

In this spaCy tutorial, you will learn all about natural language processing and how to apply it to real-world problems using the Python spaCy library.

• freeCodeCamp
• 3-4 hours
• Self-Paced
• Free Video