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Free Natural Language Processing Course

Introduction to Natural Language Processing

star 4.53  Beginner level 6.75 learning hrs 46.4K+ Learners

Learn NLP fundamentals, libraries, terminology, language models, deep learning, TextBlob, sentiment analysis, and semantic segmentation. Enroll in this free NLP course to build a strong base in language AI.

Instructor:

Georg Huettenegger

Introduction to Natural Language Processing

star 4.53  Beginner level 6.75 learning hrs 46.4K+ Learners
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Skills you will gain

Natural Language Processing (NLP)

Language Models

TextBlob

Sentiment Analysis

Semantic Segmentation

Key Highlights

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About this course

This free NLP training course equips you with the foundational skills to understand how machines process, analyze, and interpret human language. You’ll learn NLP fundamentals, common challenges, essential libraries, key terminology, real-world applications, domain-specific use cases, and the workflow used to solve NLP problems. The course also introduces language models and the role of deep learning in building more effective NLP solutions.


You’ll also learn how TextBlob supports NLP tasks such as sentiment analysis and how semantic segmentation concepts, including U-Net, are applied through practical demonstrations. By the end of this NLP courses online free, you’ll be able to explain core NLP concepts, identify useful NLP applications, understand how language models support text-based AI systems, and build a strong foundation for advanced learning in AI, machine learning, and natural language technologies.

Stand out with an industry-recognized certificate

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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.

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Introduction to Natural Language Processing

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6.75 Hours

Beginner

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46.4K+ learners enrolled so far

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Learner reviews of the Free Courses

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Reviewer Profile
Naveena T

4.0

★★★ ★ ☆
Country Flag India
“Comprehensive Review of the Natural Language Processing Course”
The Natural Language Processing course was incredibly insightful and hands-on. It provided a solid foundation in key concepts like tokenization, stemming, and lemmatization. The practical exercises helped me understand how NLP models work and how they can be applied in real-world scenarios. Highly recommended!
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Reviewer Profile
Muhammad Nayab

5.0

★★★★ ★
Country Flag Netherlands
“Comprehensive Overview of NLP Concepts and Techniques”
This course provided a comprehensive overview of Natural Language Processing (NLP) concepts and techniques. The clear explanations and practical examples were helpful in understanding the complexities of language processing.
Read more
Reviewer Profile
Paritosh Gupta linkedin icon

5.0

★★★★ ★
Country Flag India
“Introduction to NLP: Exploring Language Understanding and Processing”
I enjoyed learning the foundational concepts of Natural Language Processing (NLP), including how machines interpret and process human language. The breakdown of techniques such as tokenization, stemming, and lemmatization helped me understand how text is transformed into meaningful data. The exploration of real-world applications like sentiment analysis and chatbots made the subject more engaging and practical for real-world use.
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Reviewer Profile
Chilumarthi Tejaswini linkedin icon

4.0

★★★ ★ ☆
Country Flag India
“The Highlight of My Experience with the Great Learning Course”
What I liked most about the course was its practical approach to learning, featuring hands-on projects that allowed me to apply theoretical concepts in real-world scenarios. The expert insights from instructors added depth to the material, while the collaborative environment with fellow learners enriched the experience.
Read more
Reviewer Profile
Gorre Anvekraj

4.0

★★★ ★ ☆
Country Flag Indonesia
“Insights from My Learning Journey in Text Classification”
I enjoyed the hands-on approach to understanding various text classification techniques, especially the balance between rule-based and machine learning methods. The practical exercises helped reinforce concepts, and I appreciated the emphasis on real-world applications. Engaging discussions with peers added to the experience, making complex topics more accessible and enjoyable.
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Reviewer Profile
dara anirudh

4.0

★★★ ★ ☆
Country Flag India
“Engaging and Informative Learning Experience”
I enjoyed the interactive nature of the sessions, which made complex concepts easier to understand. The practical examples and real-world applications of NLP kept me engaged and motivated to learn more. The knowledgeable and approachable instructors made the learning environment supportive and enjoyable. Overall, it was a fantastic experience that deepened my understanding of the subject!
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Reviewer Profile
Sarth Dharu

5.0

★★★★ ★
Country Flag India
“Informative and Engaging NLP Course for Beginners”
The Natural Language Processing course provided an excellent foundation in understanding key concepts and techniques. The blend of theoretical knowledge and practical applications, including hands-on projects, made learning engaging and effective. The instructors were knowledgeable and supportive, fostering a collaborative environment. Overall, it enhanced my skills in NLP and sparked a deeper interest in language technologies. Highly recommended!
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Reviewer Profile
Uday Kumar

5.0

★★★★ ★
Country Flag India
“Well-Structured and Engaging Introduction to NLP”
I recently completed the Introduction to Natural Language Processing (NLP) course and found it to be an enriching experience. The course was well-organized, covering key concepts such as tokenization, named entity recognition, and sentiment analysis. The instructor's engaging teaching style made complex topics more approachable. I appreciated the hands-on exercises that allowed me to apply theoretical knowledge to real-world scenarios, enhancing my learning. Overall, this course has greatly improved my understanding of NLP and inspired me to explore the field further.
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Reviewer Profile
Sarayu

4.0

★★★ ★ ☆
Country Flag India
“Introduction to Natural Language Processing”
The Natural Language Processing (NLP) course covers fundamental concepts such as data preprocessing, tokenization, stemming, and lemmatization. It also explores sentiment analysis and semantic segmentation using Python tools like TextBlob, equipping learners with practical skills in NLP. I appreciate the course's hands-on approach and the focus on real-world applications.
Read more
Reviewer Profile
umesh kumar linkedin icon

4.0

★★★ ★ ☆
Country Flag India
“Introduction to Natural Language Processing”
The "Introduction to Natural Language Processing" course offered by Great Learning is an excellent primer for anyone looking to dive into the fascinating world of NLP. The course is well-structured and covers a broad range of foundational topics, from basic text processing to advanced machine learning techniques. The instructors are knowledgeable and present the material in an engaging and accessible manner, making complex concepts easier to understand.
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What our learners enjoyed the most

Our course instructor

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Georg Huettenegger

Hybrid AI Chief Architect, Generative and Conversational AI Leader

Artificial Intelligence Expert

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46.4K+ Learners
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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.
 

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