10 Best Natural Language Processing Courses and Certifications Online

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Close up iPhone showing Udemy application and laptop with notebookThere are thousands of online courses and classes that will assist you improve your Natural Language Processing abilities and earn your Natural Language Processing certificate.

In this post, our experts have actually assembled a curated list of the 10 Best of the Best Natural Language Processing courses, tutorials, training programs, classes and certifications that are available online right now.

We have actually included only those courses that satisfy our high-quality requirements. We have put a lot of time and effort into gathering these all for you. These courses are suitable for all levels, beginners, intermediate learners, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Natural Language Processing Courses and Certifications Online

1. NLP – Natural Language Processing with Python by Jose Portilla Udemy Course Our Best Pick

“Learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing”

As of right now, more than 59350+ people have enrolled in this course and there are over 11609+ reviews.

Course Content
Introduction
Python Text Basics
Natural Language Processing Basics
Part of Speech Tagging and Named Entity Recognition
Text Classification
Semantics and Sentiment Analysis
Topic Modeling
Deep Learning for NLP
BONUS SECTION: THANK YOU!

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2. Modern Natural Language Processing in Python by “Martin Jocqueviel, Ligency I Team, Ligency Team” Udemy Course

Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab

As of right now, more than 47276+ people have enrolled in this course and there are over 1452+ reviews.

Course Content
Introduction
CNN for NLP – Intuition
CNN for NLP – Application (sentimental analysis)
Transformer – Intuition
Transformer – Application

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3. Data Science: Natural Language Processing (NLP) in Python by Lazy Programmer Inc. Udemy Course

“Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.”

As of right now, more than 42317+ people have enrolled in this course and there are over 11067+ reviews.

Course Content
Natural Language Processing – What is it used for?
Course Preparation
Machine Learning Basics Review
Markov Models
Decrypting Ciphers
Build your own spam detector
Build your own sentiment analyzer
NLTK Exploration
Latent Semantic Analysis
Write your own article spinner
How to learn more about NLP
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale

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4. Natural Language Processing with Deep Learning in Python by “Lazy Programmer Team, Lazy Programmer Inc.” Udemy Course

“Complete guide on deriving and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recursive nets”

As of right now, more than 41651+ people have enrolled in this course and there are over 6997+ reviews.

Course Content
“Outline, Review, and Logistical Things
Beginner’s Corner: Working with Word Vectors
Review of Language Modeling and Neural Networks
Word Embeddings and Word2Vec
Word Embeddings using GloVe
Unifying Word2Vec and GloVe
Using Neural Networks to Solve NLP Problems
Recursive Neural Networks (Tree Neural Networks)
Theano and Tensorflow Basics Review
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale”

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5. Natural Language Processing: NLP With Transformers in Python by James Briggs Udemy Course

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

As of right now, more than 17471+ people have enrolled in this course and there are over 867+ reviews.

Course Content
Introduction
NLP and Transformers
Preprocessing for NLP
Attention
Language Classification
[Project] Sentiment Model With TensorFlow and Transformers
Long Text Classification With BERT
Named Entity Recognition (NER)
Question and Answering
Metrics For Language
Reader-Retriever QA With Haystack
[Project] Open-Domain QA
Similarity
Pre-Training Transformer Models

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6. U&P AI – Natural Language Processing (NLP) with Python by Abdulhadi Darwish Udemy Course

“Become an NLP Engineer by creating real projects using Python, semantic search, text mining and search engines!”

As of right now, more than 13868+ people have enrolled in this course and there are over 1144+ reviews.

Course Content
Getting an Idea of NLP and its Applications
Feature Engineering
Dealing with corpus and WordNet
Create your Vocabulary for any NLP Model
Word2Vec in Detail and what is going on under the hood
Find and Represent the Meaning or Topic of Natural Language Text

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7. Introduction to Natural Language Processing (NLP) by Brian Sacash Udemy Course

Learn how to analyze text data.

As of right now, more than 13254+ people have enrolled in this course and there are over 3480+ reviews.

Course Content
“Course Introduction
Setup
Python Refresher
NLTK and the Basics
Tokenization , Tagging, Chunking
Custom Sources
Projects
Appendix”

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8. “From 0 to 1: Machine Learning, NLP & Python-Cut to the Chase” by Loony Corn Udemy Course

“A down-to-earth, shy but confident take on machine learning techniques that you can put to work today”

As of right now, more than 8715+ people have enrolled in this course and there are over 898+ reviews.

Course Content
Introduction
Jump right in : Machine learning for Spam detection
Solving Classification Problems
Clustering as a form of Unsupervised learning
Association Detection
Dimensionality Reduction
Regression as a form of supervised learning
Natural Language Processing and Python
Sentiment Analysis
Decision Trees
A Few Useful Things to Know About Overfitting
Random Forests
Recommendation Systems
Recommendation Systems in Python
A Taste of Deep Learning and Computer Vision
Quizzes

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9. Hands On Natural Language Processing (NLP) using Python by Next Edge Coding Udemy Course

“Learn Natural Language Processing ( NLP ) & Text Mining by creating text classifier, article summarizer, and many more.”

As of right now, more than 8561+ people have enrolled in this course and there are over 1440+ reviews.

Course Content
Introduction to the Course
Getting the required softwares
Python Crash Course
Regular Expressions
Numpy and Pandas
NLP Core
Project 1 – Text Classification
Project 2 – Twitter Sentiment Analysis
Project 3 – Text Summarization
Word2Vec Analysis
Conclusion

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10. Machine Learning: Natural Language Processing in Python (V2) by “Lazy Programmer Inc., Lazy Programmer Team” Udemy Course

“NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python”

As of right now, more than 5424+ people have enrolled in this course and there are over 1154+ reviews.

Course Content
Introduction
Getting Set Up
Vector Models and Text Preprocessing
Probabilistic Models (Introduction)
Markov Models (Intermediate)
Article Spinner (Intermediate)
Cipher Decryption (Advanced)
Machine Learning Models (Introduction)
Spam Detection
Sentiment Analysis
Text Summarization
Topic Modeling
Latent Semantic Analysis (Latent Semantic Indexing)
Deep Learning (Introduction)
The Neuron
Feedforward Artificial Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Setting Up Your Environment FAQ
Extra Help With Python Coding for Beginners FAQ
Effective Learning Strategies for Machine Learning FAQ
Appendix / FAQ Finale

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Here are some frequently asked questions about learning Natural Language Processing

How Long Does It Take to Learn Natural Language Processing?

The answer to the question “How long does it ttake to learn Natural Language Processing” is … it depends. Everybody has different needs, and everybody is operating in different situations, so the answer for a single person may be entirely different than for somebody else.

Consider these questions: What are you trying to Learn Natural Language Processing for? Where is your beginning point? Are you a beginner or do you have experience with Natural Language Processing? Just how much can you practice? 1 hour daily? 40 hours weekly? Check out this course about Natural Language Processing.

Is Natural Language Processing Easy Or Hard to Learn?

No, learning Natural Language Processing isn’t hard for many people. Check this course on how to Learn Natural Language Processing in no time!

How to Learn Natural Language Processing Fast?

The fastest way to Learn Natural Language Processing is to first get this Natural Language Processing course, then practice whatever you learn whenever you can. Even if its just 15 minutes a day of practice. Consistency is key.

Where to Learn Natural Language Processing?

If you want to explore and learn Natural Language Processing, then Udemy offers you the best platform to learn the Natural Language Processing. Check this course on how to Learn Natural Language Processing in no time!