Online NLP Free Course with Certificate

Introduction to Natural Language Processing

Enhance your AI expertise by enrolling in the free NLP Course, covering essential topics such as Data Pre-processing, NLP Modeling Techniques. Acquire in-demand skills through this comprehensive natural language processing course.

4.52

Beginner

6.75 Hrs

40K+

Ratings

Level

Learning hours

Learners

Skills you’ll Learn

Tokenization
Stemming
Lemmatization
Removing Stopwords
Modeling Techniques in NLP
Machine Learning and Logistic Regression

About this course

This free NLP course starts by introducing you to NLP and Python. You will learn about data pre-processing and learn to work with different types of documents using Python. You will understand tokenization, its needs, and its implementation through this NLP course. You will go through a hands-on session online and word tokenization implementation using Python programming. Understand stemming, lemmatization, and stopwords better with the hands-on sessions on their implementation using Python.  You will learn about the bag of words and TF-IDF models and comprehend word embedding. In this free Introduction to NLP course, you will then learn about Machine Learning, logistic regression, and sentiment analysis. You will go through a thorough demo on sentiment analysis and learn about TextBlob. Learn TextBlob, and its functionalities and go through TextBlob sentiment analysis. Lastly, you will go through U-Net, semantic segmentation, and their demo. Enroll in this free Introduction to Natural Language Processing course and complete the quiz at the end to earn a certificate of course completion. Check out Great Learning’s Best Artificial Intelligence Courses and dwell more into emerging technologies in the industry. Enroll in the course you are interested in and achieve a certificate of course completion. 

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Course Outline

What is NLP?

In this module, you will get introduced to NLP and its various popular examples. You will go through the roadmap to learn NLP and understand the implementation of the technique through Python.   

What is Python?

In this module, you will learn Python and comprehend why its chosen for the implementation of NLP. You will learn about the Python programming language’s benefits and its important libraries.   

What is Data Pre-processing?

This module helps you comprehend what data is and how to work with different types of documents using Python programming language. You will then understand data pre-processing through the Python hands-on session and understand the types of data pre-processing.  

What is Tokenization?

In this module of the NLP course, you will learn tokenization and understand why you need tokenization. You will then go through a demo on implementing tokenization using Python. You will implement line and word tokenization using Python programming language.   

What is Stemming?

In this module, you will learn stemming and understand the need for stemming. You will also go through a hands-on session on implementing stemming using Python programming language.

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Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Is this course free?

What prerequisites are required to learn this Introduction to Natural Language Processing course?

There are no prerequisites required to get started with this free NLP course. It is a beginner’s course; hence novice learners can start NLP from scratch.  

How long does it take to complete this free NLP course?

This free Introduction to Natural Language Processing course contains 4.5 hours of self-paced videos that learners can take up according to their convenience.  

What are my next learning options after this Introduction to NLP course?

You can enroll in Great Learning’s Best PG Artificial Intelligence Course online by the University of Texas at Austin’s McCombs School of Business.

 

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