Natural Language Processing (NLP) Training in Ontario

Natural Language Processing (NLP) Training in Ontario, Canada

Participants will learn how machines process and understand human language and how to apply various NLP techniques.

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Natural Language Processing (NLP) Training is a professional training program delivered by ProgNXT in Ontario, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Natural Language Processing (NLP) Training course with hands-on, instructor-led sessions. This training offers a practical and hands-on introduction to Natural Language Processing (NLP) using Python. Participants will learn...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: SSY93
21 Hrs
Last Updated: April 2026

Course Rating5/5

This training offers a practical and hands-on introduction to Natural Language Processing (NLP) using Python. Participants will learn how machines process and understand human language and how to apply various NLP techniques such as text preprocessing, vectorization, sentiment analysis, named entity recognition, and topic modeling. The course combines foundational theory with real-world projects using tools like NLTK, spaCy, and Hugging Face Transformers.

Welcome to the official Natural Language Processing (NLP) Training certification program in Ontario, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic knowledge of Python programming
Familiarity with concepts like lists, dictionaries, functions, and loops
No prior experience in NLP or machine learning required
Laptop with Python installed or access to Google Colab/Jupyter Notebook

By the end of this course, learners will be able to:

Understand how NLP works and apply core techniques to text data
Build and evaluate NLP models for classification, summarization, and more
Use libraries like spaCy, NLTK, and Transformers for real-world tasks
Integrate NLP pipelines into data analysis or machine learning workflows
Complete an end-to-end NLP project using real data

Text cleaning and preprocessing techniques
Tokenization, POS tagging, lemmatization, and stop word removal
Word embeddings and vectorization techniques
Sentiment analysis and entity recognition
Using pre-trained Transformer models (e.g., BERT) for NLP tasks
Topic modeling and text summarization
End-to-end NLP project development

NLP fundamentals and key terminology
Text normalization and feature extraction
Word2Vec, TF-IDF, and Transformer embeddings
Supervised and unsupervised NLP tasks
Application of spaCy, NLTK, and Hugging Face models
Project: Build a mini NLP pipeline from raw text to insight

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

NLP Basics and Text Preprocessing

Introduction to NLP

What is NLP and where it's used
Structured vs unstructured text
Common applications: chatbots, sentiment analysis, summarization

Core NLP Concepts

Tokens, corpus, vocabulary, and stopwords
Lemmatization vs stemming
Parts of speech and syntactic structures

Text Preprocessing Techniques

Lowercasing, punctuation removal, and tokenization
Stopword removal and lemmatization using spaCy and NLTK
Regex basics for pattern cleaning
Creating reusable preprocessing functions

Feature Extraction and NLP Models

Feature Engineering in NLP

Bag of Words model
TF-IDF (Term Frequency – Inverse Document Frequency)
N-grams and context windows
Limitations of sparse representations

Word Embeddings and Vectors

Introduction to Word2Vec and GloVe
Vector space and cosine similarity
Visualizing embeddings with PCA or t-SNE
Using pre-trained embeddings in spaCy

NLP with Machine Learning Models

Text classification with Naive Bayes, Logistic Regression
Building a sentiment analysis model
Train/test split and evaluation metrics
Improving accuracy with feature tuning

Named Entity Recognition (NER)

What is NER and why it matters
Using spaCy to extract entities
Custom NER with rule-based and statistical methods
Visualizing NER outputs

Transformers, Topic Modeling, and Exercises

Introduction to Transformers for NLP

What are Transformers and how they work
Overview of Hugging Face Transformers
Using pre-trained models like BERT for classification
Fine-tuning vs zero-shot inference

Topic Modeling and Summarization

Latent Dirichlet Allocation (LDA) for topic modeling
Preprocessing for LDA
Using gensim for topic extraction
Text summarization using Transformers and NLP techniques

Real-World NLP Exercises

Wrap-up and Next Steps

Review of techniques and tools learned
Best practices in production NLP workflows
Additional learning paths and open-source datasets
Optional: mini-assessment or quiz

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on:
Daily quizzes, mock questions and query resolution. Participation in hands-on exercises and labs. Performance in the final review and hands-on exercises will be evaluated.
ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Natural Language Processing (NLP) Training Events in ontario

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

19th Oct 2026→21st Oct 2026

📍 Ontario, Canada

26th Oct 2026→28th Oct 2026

November 2026

📍 Ontario, Canada

4th Nov 2026→6th Nov 2026

🌐 Online Instructor-Led

5th Nov 2026→7th Nov 2026

📍 Ontario, Canada

20th Nov 2026→22nd Nov 2026

🌐 Online Instructor-Led

20th Nov 2026→22nd Nov 2026

December 2026

📍 Ontario, Canada

1st Dec 2026→3rd Dec 2026

🌐 Online Instructor-Led

2nd Dec 2026→4th Dec 2026

📍 Ontario, Canada

21st Dec 2026→23rd Dec 2026

🌐 Online Instructor-Led

25th Dec 2026→27th Dec 2026

Events for other courses in Ontario, Canada

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Natural Language Processing (NLP) Training in Ontario