10 Best NLP Courses in 2026: Beginner to Advanced Level

Looking for the best natural language processing (NLP) courses? We have you covered.

As digital technology develops and computers become smarter than ever, Natural Language Processing or NLP is starting to become an important subject in the world today.

The term Natural Language Processing or NLP certainly defines the ability of computers to recognize and understand human speech as well as texts. It indeed allows computers to decipher the interactions between human beings efficiently.

Kdnuggets says NLP is one of the top4 hottest trends in data science.

List of Best NLP Courses:

There are several accredited NLP courses available online. However, to help you out, we are listing the best ones just for you.

1. Deep Learning: Advanced NLP and RNNs
2. Natural Language Processing Nanodegree
3. Natural Language Processing - Part of Advanced Machine Learning
4. Natural Language Processing in TensorFlow
5. JSON and Natural Language Processing in PostgreSQL
6. Natural Language Processing with Deep Learning in Python
7. Natural Language Processing with Sequence Models
8. NLP - Natural Language Processing with Python
9. Getting Started with Natural Language Processing with Python
10. Introduction to Natural Language Processing with Python

Now let's get into each course one by one.

1. Deep Learning: Advanced NLP and RNNs

Course link: Deep Learning: Advanced NLP and RNNs

1. Provider: Udemy
2. Course Content: 8.5 Hours
3. Type of Certification: Course Completion
4. Pricing: $99.99
5. Course Instructors: Lazy Programmers Inc

One of the best NLP certification online courses, it is an advanced course perfect for every individual wishing to take their knowledge of their natural language processing skills further.

In this course, you will certainly come to learn about problems like neural machine translation, classification of texts which includes understanding the difference between sentiments and spam and how to create programs for automated question answering.

To solve the aforementioned problems you will undergo rigorous NLP training on topics such as seq2seq, bidirectional RNNs, memory networks, and attention.

Perquisites:

• A decent understanding of CNNs, word embeddings, and RNNs.
• Ability to create, train as well as evaluate a neural network using Keras.
• Good knowledge of Python coding.

2.Natural Language Processing - [Nano Degree]

Course link: Natural Language Processing - [Nano Degree]

1. Provider: Udacity
2. Course Content: 52 hours
3. Type of Certification: Nanodegree Completion Certificate
4. Pricing: $499.50

This Natural Language Processing Nanodegree from Udacity is a practical program designed to help you develop the skills required to work with human language data.

It covers essential NLP concepts, including text processing, feature extraction, and language modeling. You will also explore techniques for building NLP applications, working with machine learning algorithms, and processing text data for real-world use cases.

As you progress, you will gain hands-on experience through projects that help you apply NLP techniques to practical problems, preparing you to work with language-based AI applications.

Perquisites:

• Intermediate to advanced knowledge of Python programming.
• Familiarity with probability and statistics.
• Basic understanding of machine learning concepts.

3. Natural Language Processing - Part of Advanced Machine Learning

Course link: Natural Language Processing - Part of Advanced Machine Learning

1. Provider: Coursera
2. Course Content: 5 Hours
3. Type of Certification: Course Completion
4. Pricing: Free
5. Instructors: Wiley Skills Network

Part of advanced machine learning courses offered by Coursera, this one takes you further in your dream of becoming an NLP expert.

In these NLP classes, you will learn about text classification, sequence tagging, language modeling, seq2seq tasks, semantics of vector space models and dialogue systems.

The course also offers a final project in which you will explore everything you have learned and gain hands-on experience.

Perquisites:

• Working knowledge of Python.
• Understanding of basic NLP problems like sentiment analysis and text classification.

4. Natural Language Processing in TensorFlow

Course Link: Natural Language Processing in TensorFlow

1. Provider: Coursera
2. Course Content: 4 Modules| 4 assessments | Flexible Schedule
3. Type of Certification: Course Completion
4. Pricing: Free
5. Instructors: Laurence Moroney

This is an excellent NLP course for every software developer with the intent of developing scalable algorithms powered by AI.

It will obviously allow you to create natural language processing systems with the help of TensorFlow.

With this course, you will learn about tokenizing, analysis of neural networks, representation of sentences as vectors, and application of GRUs, RNNs, and LSTMs amongst several other things.

Perquisites:

• Understanding of high school-level mathematics.
• Comfortable with TensorFlow.
• Understanding of Python.

5. JSON and Natural Language Processing in PostgreSQL

Course Link: JSON and Natural Language Processing in PostgreSQL

1. Provider: edX (By The University of Michigan)
2. Course Content: 4 Weeks | 2-4 hours/week
3. Type of Certification: Course Completion
4. Pricing: Free / $59 for a verified certificate
5. Instructor: Charles Severance

An intermediate-level course, this program from the University of Michigan introduces you to working with JSON data and natural language content using PostgreSQL.

Throughout the course, you will learn how to store and retrieve JSON data, work with external APIs, and process text within a PostgreSQL database.

By the end of the course, you will gain practical experience building text indexes and implementing search functionality in PostgreSQL, making it a useful option for learners interested in databases and natural language processing.

Perquisites:

• No formal prerequisites are required.
• Some prior experience with databases and SQL may be helpful, as this is an intermediate-level course.

6. Natural Language Processing with Deep Learning in Python

Course Link: Natural Language Processing with Deep Learning in Python

1. Provider: Udemy
2. Course Content: 12 Hours | 96 Lectures
3. Type of Certification: Course Completion
4. Pricing: $79.99
5. Course Instructors: Lazy Programmers Inc

As the name suggests, the content of this course focuses on natural language processing in the context of deep learning.

After taking this course, you will have an in-detail understanding of word2vec as well as the skip-gram, CBOW method in word2vec along with their functioning.

As a matter of fact, you will also understand the functioning and implementation of GloVe. You will also understand how you can use recurrent neural networks for entity recognition.

Finally, it will indeed help you to understand how you can use the recursive neural tensor networks for sentiment analysis, parts of speech tagging and much more.

Perquisites:

• Proper understanding of probability, differential calculus, and linear algebra.
• Skill in Python coding.
• Understanding of NumPy coding, neural networks, experience with tree algorithms, and fundamentals of NLP.

7. Natural Language Processing with Sequence Models

Course Link: Natural Language Processing with Sequence Models

1. Provider: Coursera
2. Course Content: 3 Weeks | Approximately 21 hours
3. Type of Certification: Course Completion Certificate
4. Pricing: Free

This intermediate-level course from DeepLearning.AI teaches you how neural networks process text using sequence models.

You will explore RNNs, LSTMs, GRUs, and Siamese networks, learning how they support NLP tasks like sentiment analysis, text generation, and named entity recognition.

Through hands-on TensorFlow projects, you will also gain practical experience building NLP models.

Perquisites:

• Intermediate-level knowledge of Python programming.
• Basic understanding of machine learning and deep learning concepts.
• Familiarity with neural networks and mathematical concepts used in machine learning.

8. NLP - Natural Language Processing with Python

Course Link: NLP - Natural Language Processing with Python

1. Provider: Udemy
2. Course Content: 11.5 Hours
3. Type of Certification: Course Completion
4. Pricing: $109.99
5. Course Instructors: Jose Portilla

This course serves as an online treasure trove on how to use Natural Language Processing with the help of the programming language Python.

This course will help you to learn how to process PDF as well as text files with the help of Python. You will also come to know the tricks of using regular expressions in order to search for complex expressions in a text file.

The course will also educate you about tokenization, lemmatization, entity recognition, parsing, phrase matching, stop words, and much more.

More importantly, you will also learn about sentiment analysis as well as utilization of word2vec to create semantic word vectors.

Prerequisites:

• Excellent Python coding skills.
• Basic concepts of Natural Language Processing in an understandable manner.

9. Getting Started with Natural Language Processing with Python

Course Link: Getting Started with Natural Language Processing with Python

1. Provider: Pluralsight
2. Course Content: 1 hr 43 min
3. Type of Certification: Course Completion
4. Pricing: $19.92/month
5. Course Instructors: Swetha Kolalapudi

This is an intermediate-level course that anyone can take. In this course, you will be taught how to use the Natural Language toolkit to process raw text in Python.

Furthermore, you will come to know about how to scrape websites in order to text by using the BeautifulSoup.

The course will also provide you with deep insights into machine learning too in order to summarise texts.

Above all, you will also learn to classify texts using machine learning and process raw data in order to apply the algorithms for machine learning into it.

Prerequisites:

• Good coding skills and a better understanding of the idea.
• Fundamental grasp of Python.

10. Introduction to Natural Language Processing with Python

Course Link: Introduction to Natural Language Processing with Python

1. Provider: Datacamp
2. Course Content: 4 hrs
3. Type of Certification: Course Completion
4. Pricing: $8.25/ month
5. Course Instructors: Katharine Jarmun

This course is all about helping you to learn fundamental techniques of natural language processing and allowing you to extract insights from the tapestry of real-world texts using Python.

It will introduce you to fundamental concepts of NLP, including text parsing and tokenization. With the help of this course, you will also be enlightened about complex concepts like recognition of named entities, identification of topics, and classifying "fake news".

You will also become more adept at using the Natural Language Toolkit and Genism library.

Prerequisites:

• The basic concepts of Python and NLP.
• Understanding different Python libraries.

Frequently Asked NLP Questions

Here are the commonly asked questions about NLP.

1. How does NLP work?

NLP, or Natural Language Processing, works by interpreting text or audio messages for computers through proper algorithms. The algorithms work by conducting sentiment analysis, converting sentences into vectors, and analyzing neural networks, to name a few.

2. What types of NLP training courses are available?

There are different types of NLP courses available online. Whether you want to introduce yourself to the world of Natural Language Processing or are looking forward to enhancing your skills in deep learning, you will always find the perfect course for yourself.

3. Which is the best NLP course online?

As a matter of fact, there are certainly different types of courses available. However, you can choose the difficulty of the courses between beginners, intermediate, and advanced as per your pre-existing skills.

4. What are the steps included in an NLP course?

Every NLP course begins with brushing up on the fundamental concepts of NLP as they move forward to more complicated topics. Moreover, some providers also conduct quizzes after each module, along with a project or final evaluation at the end of the course.

5. How much is the NLP certification course price?

The price of an NLP course depends on the provider entirely. As a matter of fact, there are several paid as well as free NLP courses available. Therefore, you can opt for any one as per your preference.

So, make a pick and get professional help. Make no wrong choice and certainly save the talent for bagging the best deals. Grow yourself and your business.

Conclusion

Whether it is Apple’s Siri, Amazon’s Echo or Google Home, everything from speech recognition to the development in AI technology, NLP plays a crucial role in all of it.

Thus, the job of an NLP expert is becoming more and more germane in the field of computer science today.

As per Gartner, NLP is one of the top 10 trends in the field of Data Analytics.

Next, an NLP expert acts between a medium between the machine and human beings. As a matter of fact, they create algorithms and feed essential data to help computers understand human interaction. And it proves to be a booming career opportunity for anyone with a good grasp on linguistics and computers.

But how can you become a master of NLP techniques? Well, the answer is simple, with a proper certification program. You have to learn online or offline by the side you have to practice hands-on. Then only you can master the techniques included in NLP.