spaCy Courses and Certifications

Natural Language Processing with spaCy

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Microcredential

Token Classification in NLP using spaCy

7 ratings at CodeSignal

Master token classification techniques using spaCy, from building NLP pipelines to implementing practical applications. Learn linguistics fundamentals and apply your skills to real-world case studies.

• CodeSignal
• 7 hours
• On-Demand
• Free Certificate
• 3 courses

Building an NLP Pipeline with spaCy for Token Classification

Master essential NLP concepts and build efficient pipelines using spaCy, covering tokenization, POS tagging, and lemmatization while working with the Reuters corpus for practical token classification tasks.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Linguistics for Token Classification in spaCy

Master linguistic concepts and semantic analysis for token classification using spaCy, from syntactic dependencies to custom NLP pipeline components and entity recognition techniques.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Practical Applications of spaCy for Real-Life Tasks

Master practical spaCy applications through hands-on case studies, from spam detection and entity recognition to legal document analysis - all using real-world scenarios.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

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

Packt

Mastering spaCy

Unlock advanced NLP techniques with spaCy and LLMs, building custom components, training models, and deploying production-ready solutions for real-world applications.

• Coursera
• 10 hours 45 minutes
• On-Demand
• Paid Course

Building NLP Pipelines with spaCy

46 ratings at LinkedIn Learning

Learn the essentials of problem-solving with spaCy, the popular, open-source software library for advanced natural language processing.

• LinkedIn Learning
• 1 hour 1 minute
• On-Demand
• Free Trial Available

Python Tutorials for Digital Humanities

SpaCy for Digital Humanities with Python

Master spaCy for natural language processing in digital humanities projects through comprehensive Python tutorials covering NER, text analysis, and model training.

• YouTube
• 11 hours 3 minutes
• On-Demand
• Free Video

1littlecoder

Custom NER with spaCy v3 Tutorial - Named Entity Recognition Tutorial

Learn to build custom Named Entity Recognition models using spaCy v3, including data annotation with free tools and training techniques for improved NLP applications.

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

Python Tutorials for Digital Humanities

How to Prepare Annotations in Prodigy for Training SpaCy SpanCat Models - Part 2

Master the process of preparing and using Prodigy annotations to train SpanCat models in spaCy, focusing on data preparation, annotation techniques, and model training workflows.

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

Python Tutorials for Digital Humanities

SpanCat with spaCy on Real Data - Cultivating Data for Annotation - Part 1

Learn how to implement SpanCat in spaCy for real-world data annotation, focusing on project setup and effective data cultivation techniques for natural language processing.

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

Python Tutorials for Digital Humanities

Named Entity Recognition Tools in spaCy - A Comparison Guide

Master the differences between spaCy's entity recognition tools and learn when to effectively implement NER, EntityRuler, SpanCat, and SpanRuler for optimal text processing results.

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

Python Tutorials for Digital Humanities

Coreference Resolution with spaCy and spaCy-Experimental

Master coreference resolution in Python using spaCy-Experimental - implement advanced natural language processing techniques to track and link entity mentions across text.

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

Python Tutorials for Digital Humanities

Serializing spaCy Doc Containers with DocBin and Pickle

Learn how to efficiently save and serialize spaCy Doc containers using DocBin and Pickle methods for optimized data storage and retrieval in Python.

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