Free Natural Language Processing Course
Introduction to Natural Language Processing
4.53
Beginner level
6.75 learning hrs
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
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.
Course outline
Introduction to Natural language processing
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
4.53
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Practice exercises
Guided Projects
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63% of learners found all the desired skills & tools
Our course instructor
Georg Huettenegger
Hybrid AI Chief Architect, Generative and Conversational AI Leader
Artificial Intelligence Expert
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.
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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