Named Entity Recognition Courses and Certifications

Applied Information Extraction in Python

Master information extraction from free-text data using Python, from regex patterns to neural networks and Transformer models like ChatGPT for real-world applications.

• Coursera
• 1 day 50 minutes
• On-Demand
• Paid Course

The Ultimate Beginners Guide to Natural Language Processing

662 ratings at Udemy

Learn step-by-step the main concepts of natural language processing in Python! Build a sentiment classifier!

• Udemy
• 6 hours 5 minutes
• On-Demand
• Paid Course

Introduction to Spacy for Natural Language Processing

240 ratings at Udemy

Kick start your Data Science career with NLP. This course is about Spacy. NLTK is not taught in this course.

• Udemy
• 4 hours 4 minutes
• On-Demand
• Paid Course

Build Conversational AI using GPT-4

195 ratings at Udemy

Utilize Generative AI capabilities to deliver a magical end-user experience

• Udemy
• 3 hours 7 minutes
• On-Demand
• Paid Course

Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering

Enhance GPT models' performance in clinical named entity recognition through task-specific prompts. Explore strategies to improve extraction of medical entities from clinical notes and adverse event reports.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Natural Language Processing in Microsoft Azure

124 ratings at Coursera

Learn to process text and speech, understand language, and create conversational AI applications using Azure's natural language processing services for advanced AI solutions.

• Coursera
• 7 hours 44 minutes
• On-Demand
• Paid Course

Microsoft Applied Skills: Azure AI Language

113 ratings at Udemy

APL-3003. Use portal, Python and C#. Extract information, classify text, ask questions, summarize text-Azure AI Language

• Udemy
• 3 hours 21 minutes
• On-Demand
• Paid Course

Natural Language Preprocessing Using spaCy

88 ratings at Udemy

Discover step-by-step Natural Language Processing (NLP) in Python using spaCy! Explore practical NLP project

• Udemy
• 6 hours 5 minutes
• On-Demand
• Paid Course

Natural Language Processing [ Building Real World Projects]

81 ratings at Udemy

Build Real World Applications of Natural Language Processing [COMPLETE PROJECT]

• Udemy
• 4 hours 14 minutes
• On-Demand
• Paid Course

NLP in Python: Probability Models, Statistics, Text Analysis

54 ratings at Udemy

Master Language Models, Hidden Markov Models, Bayesian Methods & Sentiment Analysis for Real-World Applications

• Udemy
• 6 hours 24 minutes
• On-Demand
• Paid Course

Text Mining & NLP

37 ratings at Udemy

Master text mining and NLP techniques including Named Entity Recognition, sentiment analysis, TF-IDF, word embeddings, and text classification to extract valuable insights from unstructured data.

• Udemy
• 16 hours 19 minutes
• On-Demand
• Paid Course

Building AI Applications with Haystack

13 ratings at Coursera

Learn to build flexible AI applications using Haystack framework. Develop RAG pipelines, custom components, conditional routing, self-reflecting agents, and chat agents with function-calling capabilities.

• Coursera
• 1 hour 2 minutes
• On-Demand
• Paid Course

Edureka Microcredential

Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

7 ratings at Coursera

Master essential and advanced NLP techniques from tokenization to neural translation, building intelligent language-aware systems for real-world applications.

• Coursera
• 16 weeks, 5 hours a week
• On-Demand
• Paid Course
• 3 courses

NLP in Engineering: Concepts & Real-World Applications

Master practical NLP techniques and their engineering applications through word embeddings, neural networks, and deep learning models. Implement advanced methods for real-world problem-solving in natural language processing.

• Coursera
• 13 hours 28 minutes
• On-Demand
• Paid Course

Applied Natural Language Processing in Engineering Part 1

Discover NLP fundamentals from text classification to neural networks, optimization techniques, word embeddings, and parsing methods for engineering applications.

• Coursera
• 1 day 3 hours 45 minutes
• On-Demand
• Paid Course