1000+ Courses for Free

  1. Great Learning
  2. Free Courses
  3. Artificial Intelligence

Free Natural Language Processing Course

Introduction to Natural Language Processing

star 4.53  Beginner level 6.75 learning hrs 46.3K+ Learners

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.

Instructor:

Georg Huettenegger

Introduction to Natural Language Processing

star 4.53  Beginner level 6.75 learning hrs 46.3K+ Learners
Sign up with Email
user icon

46.3K+ learners enrolled so far

Stand out with an industry-recognized certificate

Start learning
local_fire_department

10,000+ certificates claimed, get yours today!

blue-tick

Get noticed by top recruiters

blue-tick

Share on professional channels

blue-tick

Globally recognised

blue-tick

Land your dream job

Certificate Image

Skills you will gain

Natural Language Processing (NLP)

Language Models

TextBlob

Sentiment Analysis

Semantic Segmentation

Go beyond basics

Step into the era of Agentic AI with our top programs

Step into the era of Agentic AI with our top programs

Build AI agents and boost your productivity

Certificate Program in Agentic AI
Johns Hopkins Whiting School of Engineering
University

PAID

Certificate Program in Agentic AI

18 weeks · Online · JHU Certificate

View Program
AI-Native Professional: Workflows and Agents for Productivity
Great Learning
Hands-on

PAID

AI-Native Professional: Workflows & Agents for Productivity

6 weeks · Live sessions · No-coding

View Program

Go beyond basics

Step into the era of Agentic AI with our top programs

Step into the era of Agentic AI with our top programs

Build AI agents and boost your productivity

Certificate Program in Agentic AI
Johns Hopkins Whiting School of Engineering
University

PAID

Certificate Program in Agentic AI

18 weeks · Online · JHU Certificate

View Program
AI-Native Professional: Workflows and Agents for Productivity
Great Learning
Hands-on

PAID

AI-Native Professional: Workflows & Agents for Productivity

6 weeks · Live sessions · No-coding

View Program

Key Highlights

course content icon

Get free course content

handyman icon

Master in-demand skills & tools

quiz icon

Test your skills with quizzes

About this course

This free Introduction to NLP course introduces the fundamentals of Natural Language Processing (NLP). You will learn NLP concepts, challenges, essential libraries, terminology, applications, and domain-specific use cases. The course also covers the workflow of solving NLP problems, language models, and the role of deep learning in NLP.

Additionally, you will explore TextBlob and its functionalities, including sentiment analysis, and gain an introduction to U-Net and semantic segmentation through guided demonstrations.

Stand out with an industry-recognized certificate

Start learning
local_fire_department

10,000+ certificates claimed, get yours today!

blue-tick

Get noticed by top recruiters

blue-tick

Share on professional channels

blue-tick

Globally recognised

blue-tick

Land your dream job

Certificate Image

Course outline

Introduction to Natural language processing

In this module, you will learn the fundamentals of NLP, common challenges, essential libraries, and key NLP terminologies.

Applications of NLP

In this module, you will explore NLP applications, domain-specific use cases, and the workflow of solving NLP problems.

Language Models & Deep Learning

In this module, you will be introduced to language models and understand the role of deep learning in NLP.

TextBlob

In this module, you will learn about TextBlob, its functionalities, and its use in sentiment analysis.

Semantic Segmentation

In this module, you will be introduced to U-Net, semantic segmentation concepts, and practical demonstrations of segmentation techniques.

Get access to the complete curriculum once you enroll in the course

View Full Course

Introduction to Natural Language Processing

rating icon 4.53

6.75 Hours

Beginner

Sign up with Email
user icon

46.3K+ learners enrolled so far

blue-tick

Get free course content

blue-tick

Master in-demand skills & tools

blue-tick

Test your skills with quizzes

Level up with advanced skills & become job ready with Pro+

Subscribe to Pro+ today to build skills with 50+ Pro courses and prep for jobs with advanced AI tools.

img icon PRO
Master Artificial Intelligence
3 projects 12.5 hrs video content
green-tick

Practice exercises

green-tick

Guided Projects

green-tick

AI Resume Builder

green-tick

AI mock interviews

Start 7-Day Free Trial

Get course + certificate with Pro+ subscription

Trusted by 10 Million+ Learners globally

star

4.6
star

4.89
star

4.94
star

4.7

Learner reviews of the Free Courses

4.53
★★★★
★ ☆
★
★
★
★
★
69%
★
★
★
★
☆
22%
★
★
★
☆
☆
6%
★
★
☆
☆
☆
1%
★
☆
☆
☆
☆
2%
Reviewer Profile
IBRAHIM ABBASSI linkedin icon

4.0

★★★ ★ ☆
“Engaging and Informative Course!”
I found the course content to be very well-structured and easy to follow. The instructor's explanations were clear and concise, making complex topics accessible. I particularly appreciated the real-world examples and practical exercises that helped solidify my understanding of the material. Overall, this course was a valuable learning experience that exceeded my expectations.
Read more
Reviewer Profile
Harshini Marisetti linkedin icon

5.0

★★★★ ★
Country Flag Philippines
“Great Learning Introduction to Natural Language Processing”
Excited to share that I completed the Introduction to Natural Language Processing course from Great Learning! 🚀 Diving into NLP opened my eyes to the intricacies of how machines interpret and process human language. From understanding tokenization and text preprocessing to exploring sentiment analysis and entity recognition, each module deepened my knowledge and skill set in handling text-based data. It’s amazing to see the blend of linguistics and machine learning in action, and I look forward to applying these insights in real-world projects.
Read more
Reviewer Profile
Ulbolsyn Kozhantayeva linkedin icon

5.0

★★★★ ★
“The Course Content was Comprehensive, Covering Essential NLP Concepts”
The explanations were clear and accessible, making it a great starting point for anyone new to the field. The use of Python libraries like NLTK and spaCy was also a highlight, as it gave me practical experience with tools commonly used in the industry. The instructor's teaching style was engaging, and the course was well-paced, providing a good balance between theory and practice. However, I would have liked a bit more in-depth coverage on advanced topics such as deep learning models in NLP.
Read more
Reviewer Profile
Apil Paudel

4.0

★★★ ★ ☆
“Nice Tutorials and Hands-On Experience”
The NLP tutorial was exceptional, providing a clear and structured introduction to key concepts like tokenization, lemmatization, and named entity recognition. The hands-on exercises were practical and engaging, making complex topics accessible. The tutorial effectively bridged theory with real-world applications, enhancing my understanding of NLP techniques and models.
Read more
Reviewer Profile
Anis Salhi

5.0

★★★★ ★
“Introduction to Natural Language Processing”
The "Introduction to Natural Language Processing" course was incredibly informative and well-structured. I loved the practical projects that allowed me to apply the NLP techniques I learned in real-world scenarios, such as text classification and sentiment analysis. The instructors provided clear, step-by-step explanations, making complex concepts easy to grasp. This course is perfect for beginners looking to explore the field of NLP and text analytics. Highly recommended for anyone interested in language processing and machine learning!
Read more
Reviewer Profile
Patlolla Akshaya Reddy linkedin icon

5.0

★★★★ ★
Country Flag India
“Course is Very Informative and Understandable”
The Natural Language Processing course is very informative and well-structured.
Read more
Reviewer Profile
Sahil Aslam Inamdar

5.0

★★★★ ★
Country Flag India
“Comprehensive Introduction to NLP”
The course is organized in a logical sequence, with each module building on the previous one. The mix of video lectures, readings, and quizzes kept the learning experience engaging and interactive.
Read more
Reviewer Profile
Sarthak Mahesh Khabe

5.0

★★★★ ★
Country Flag India
“Introduction to NLP: Tokenization, Stemming, Lemmatization, and More”
Learn about data pre-processing and work with different types of documents using Python. You will understand tokenization, its needs, and its implementation through this NLP course.
Read more
Reviewer Profile
Gaurang Patyane

4.0

★★★ ★ ☆
Country Flag India
“Excellent NLP Course at Great Learning”
Great Learning's NLP course offers comprehensive coverage of key concepts, from text processing to machine learning applications. The hands-on approach and expert instructors make complex topics accessible and engaging. Highly recommended!
Read more
Reviewer Profile
Divyansh Sancheti

5.0

★★★★ ★
Country Flag India
“Great Time Learning About NLP”
This course really gave a great insight into natural language processing.
Read more

What our learners enjoyed the most

Our course instructor

instructor img

Georg Huettenegger

Hybrid AI Chief Architect, Generative and Conversational AI Leader

Artificial Intelligence Expert

learner icon
46.3K+ Learners
video icon
1 Courses
Georg is a customer-focused, high-performing team leader with a proven track record of launching new products and platforms, driving strategic initiatives worth over $30MM for global Fortune 500 companies. Known for a hands-on management style, Georg excels in communication, leadership, and problem-solving. With significant experience in the Financial Services sector and additional expertise in Insurance and Telecommunications, he has successfully led diverse teams and projects. Specializing in digital workforce solutions, artificial intelligence, machine learning, natural language processing, and speech-to-text technologies, Georg has extensive experience in presales, product, program, and project management. He is skilled in stakeholder, vendor, and offshore management, as well as enterprise architecture across business, application, data, integration, security, and systems/solution architecture. Georg’s expertise is grounded in hands-on development and scaling of Conversational AI platforms, Business Process Management, Java and C/C++ Internet and Enterprise Intranet applications, Middleware, Messaging, Microservices, REST, SOA, and Python, often utilizing agile development and CI/CD methodologies.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

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.

 

Will I get a certificate after completing this Introduction to Natural Langauge Processing course?

Yes, you will be rewarded with a free NLP course completion certificate after completing all the modules and the quiz at the end of this free Introduction to Natural Language Processing course. 

How much does this NLP course cost?

This Introduction to NLP course is offered for free by Great Learning Academy.

Is there a limit on how many times I can take this Introduction to Natural Language Processing course?

No, there are no such limits on the number of times you can attain this Introduction to NLP course.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can sign up for more than one free course offered by Great Learning Academy that fastens your effective career development.
 

Why choose Great Learning for this Introduction to NLP course?

Great Learning Academy is an initiative taken by the leading e-learning platform, Great Learning. Great Learning Academy provides you with industry-relevant courses for free, and Introduction to Natural Langauge Processing is one of the free courses that empowers you with in-demand skills.

 

 

What are the steps to enroll in this course?

  • Search for the free “Introduction to Natural Language Processing” course in the search bar present at the top corner of Great Learning Academy.
  • Register for the course through the Enroll Now button and start learning.

Will I have lifetime access to this free online course?

Yes. You will have lifetime access to this free online Introduction to Natural Language Processing course.
 

Is it worth learning NLP?

Natural Language Processing comes under computer science and artificial intelligence that focuses on the interactions between computers and human languages, particularly how to program computers to process and analyze large amounts of natural language data. As a result, learning about NLP is worthwhile.
 

What is NLP used for?

Natural Language Processing is used for various tasks, including text classification, topic modeling, sentiment analysis, and text generation. Various tasks involving the analysis and processing of text data include the usage of Natural Language Processing (NLP). Speech recognition, named entity recognition, and language detection are a few of these tasks that can be performed. Due to its ability to improve understanding and communication can also be employed in commercial settings, such as sales and marketing.
 

Why is NLP so popular?

Due to its focus on how people and computers communicate, the field of Artificial Intelligence known as Natural Language Processing is very well-liked. Natural Language Processing is a particularly efficient method for processing and analyzing massive amounts of data, which is one of the key reasons it is so popular. This is particularly true for text-based data, as it can be quite challenging to examine this data using conventional techniques. This procedure can be automated with the help of Natural Language Processing, making it much simpler to comprehend and evaluate the data.

What jobs demand that you learn NLP?

Jobs that demand you learn Natural Language Processing include:

  • Artificial Intelligence Researcher
  • Computational Linguist
  • Data Analyst
  • Data Miner
  • Data Scientist
  • Information Retrieval Specialist
  • Machine Learning Engineer
  • NLP Developer
  • NLP Engineer
  • Research Scientist
     

What knowledge and skills will I gain upon completing this NLP course?

By the end of this Introduction to NLP course, you will learn about Natural Language Processing, tokenization, stemming, lemmatization, removing stopwords, various modeling techniques in NLP, sentiment analysis, TextBlob, U-Net, and Semantic segmentation. 
 

Who is eligible to take this NLP course?

Any beginner or novice learner who wants to get acquainted with Natural Langauge Processing can enroll in this free NLP course.
 

Subscribe to Academy Pro+ & get exclusive features

$29/month

No credit card required

pro banner image

Learn from 40+ Pro courses

pro banner image

Access 500+ certificates for free

pro banner image

700+ Practice exercises & guided projects

pro banner image

Prep with AI mock interviews & resume builder

Recommended Free AI courses

img icon FREE
Pathway to Becoming an AI Engineer
1.3K+ learners
Pathway to Becoming an AI Engineer
1 hr

View Course

img icon FREE
Building Recommendation Systems
star   4.45 14.1K+ learners
Building Recommendation Systems
1 hr

View Course

img icon FREE
Artificial Intelligence Projects
star   4.5 55.7K+ learners
Artificial Intelligence Projects
4.5 hrs

View Course

img icon FREE
Google AI Essentials
star   4.47 3.9K+ learners
Google AI Essentials
1.5 hrs

View Course

Similar courses you might like

img icon FREE
Sentiment Analysis using Python
star   4.48 20.1K+ learners
Sentiment Analysis using Python
1.5 hrs

View Course

img icon FREE
Textblob
star   4.58 1.8K+ learners
Textblob
1.5 hrs

View Course

img icon FREE
Introduction to Computer Vision
star   4.61 6.6K+ learners
Introduction to Computer Vision
1.5 hrs

View Course

img icon FREE
Introduction to Text Mining
star   4.67 1.3K+ learners
Introduction to Text Mining
1 hr

View Course

Related Artificial Intelligence Courses

50% Average salary hike
Explore degree and certificate programs from world-class universities that take your career forward.
Personalized Recommendations
checkmark icon
Placement assistance
checkmark icon
Personalized mentorship
checkmark icon
Detailed curriculum
checkmark icon
Learn from world-class faculties

Popular Topics to Explore

Free NLP Courses
Free ChatGPT Courses
Free AI Courses
Free Data Science Courses
Free Microsoft Excel Courses
Free Python Courses
Free Machine Learning Courses
Free Cybersecurity Courses

Relevant Career Paths >

Other Artificial Intelligence tutorials for you

Enroll For Free