spaCy Certification Training Online

7 Lesson

35 Hours

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igmGuru offers the best spaCy training program worldwide. Our comprehensive training program is designed to build a strong foundation in Natural Language Processing (NLP), text analytics, and intelligent language applications using spaCy. This spaCy course covers essential key concepts such as tokenization, part-of-speech tagging, named entity recognition (NER), dependency parsing, text classification, pipeline customization, and deployment. It also includes integration with machine learning frameworks, transformers, and modern NLP workflows. Our spaCy certification course modules are created by seasoned NLP engineers and data scientists with over 10 years of industry experience. They focus on hands-on, real-world learning and stay aligned with the latest spaCy updates and best practices.

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Overview

Prerequisites

Basic Python programming
Familiarity with Python libraries & virtual environments
Understanding of basic NLP concepts (tokenization, NER, POS)
Intro-level machine learning concepts
Ability to work with text data (CSV/JSON)

What You Will Learn

spaCy basics and architecture
Text tokenization and linguistic annotations
Named Entity Recognition (NER) and POS tagging
Building and training custom NLP models
Text classification with spaCy
Working with pipelines and components
Model training, evaluation, and optimization
Saving, loading, and deploying spaCy models

Who Should Enroll?

Python developers interested in NLP
Data scientists / ML engineers working with text data
AI & NLP enthusiasts wanting hands-on spaCy skills
Software engineers building language-based applications
Students & researchers in AI, ML, or Data Science

Key Features

1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
100% Job Assistance
Flexible Schedule

Course Curriculum

Lesson 1 - Introduction to spaCy & NLP

1. Overview of Natural Language Processing (NLP)

2. What is spaCy - features & use cases

3. Installing spaCy and models

4. Understanding spaCy data structures: Doc, Token, Span

Lesson 2 - Core spaCy Operations

1. Text tokenization

2. Part-of-speech (POS) tagging

3. Dependency parsing

4. Lemmatization

5. Stop-words & vocab processing

Lesson 3 - Linguistic Features & Matching

1. Named Entity Recognition (NER)

2. Rule-based matching: Matcher / PhraseMatcher / EntityRuler

3. Semantic similarity & word vectors

Lesson 4 - spaCy Pipelines

1. Pipeline architecture (components & flow)

2. Custom pipeline components

3. Modifying and extending pipelines

4. Adding custom metadata/attributes

Lesson 5 - Model Training with spaCy

1. Preparing annotated training data

2. Training / updating spaCy models

3. Custom entity labels and task-specific models

4. Evaluation and metrics

5. Saving & loading models

Lesson 6 - Text Classification & NLP Tasks

1. Text categorization

2. Sentiment or topic classification

3. Advanced NER and entity linking (optional)

Lesson 7 - Advanced Topics (Optional / Latest)

1. Integrating transformers / large models with spaCy (e.g., BERT)

2. spaCy-LLM workflows

3. Deployment: API / FastAPI / production pipelines

4. End-to-end NLP apps

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 35 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 28 May 2026
Weekday Batch 01 Jun 2026
Weekend Batch 30 May 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

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Want to know Today's Offer

spaCy Certification

Upon successfully completing the spaCy training, you will receive a course completion certificate. This certificate validates your expertise in Natural Language Processing using spaCy, including text processing, NER, text classification, and building custom NLP models.

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spaCy Certification Training Online