10 Best NLP Courses Trending Right Now

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10 Best NLP Courses Trending Right Now

Simran Kaur Arora
Last updated on July 29, 2022

    NLP is an important aspect of machine learning. It is one of the groundbreaking technologies in artificial intelligence that are revolutionizing the way we are doing things the AI way.

    Email filters, language translation, predictive text, and smart assistants are just some of the most popular applications of NLP. Right now, the AI area has a lot of excellent career prospects. As a result, a growing number of candidates are searching for lucrative employment opportunities in the NLP industry.

    Here, we will discuss 10 of the best NLP courses to learn and advance in the rapidly-evolving field, but before we do that, let’s know a little more about NLP.

    What is NLP?

    NLP stands for natural language processing. It is the ability of machines to interpret and understand high-level (human) languages. It is an intersecting field of artificial intelligence, computer science, and linguistics.

    Natural language processing primarily focuses on making human-computer interactions via languages simpler. In addition, it is focused on teaching computers how to process and analyze enormous databases of natural language data for relevant and helpful information.

    Owing to the advancement of AI and machine learning, NLP is growing fast. Today, it has all sorts of libraries and tools to make associated tasks simpler. Gensim, NLTK (Natural Language Toolkit), spaCy, and TextBlob are just some of the most popular NLP tools.

    Why Study an NLP Course?

    Though you can find a lot of free resources, such as written tutorials and blogs, courses guide your learning process. One of the best advantages of taking an NLP course is that it makes you job-ready by helping you develop all the essential skills.

    As NLP is a complex topic for beginners, they may find it pretty challenging to learn on their own. In such cases, opting for an NLP course would be a great option as it educates novices from the ground up. Some courses let learners work with real-time projects to have a better practical understanding of the subject. Also, many courses offer job assistance once you complete the course.

    Therefore, it is advisable to take an NLP course. However, make sure the course provider offers the following benefits:

    • A certificate of completion
    • All-time support
    • Doubt clearing session
    • Self-paced learning option
    • Budget-friendly
    • Trial or money-back guarantee options

    10 Best Natural Language Processing (NLP) Courses in 2022

    Here is a list of the 10 best NLP courses that help you learn and master natural language processing:

    1. Natural Language Processing with Classification and Vector Spaces

    By : Coursera (and DeepLearning.AI)

    Level : Intermediate

    Duration: 4 weeks (35 hours)

    Instructor: Eddy Shyu, Lukasz Kaiser, and Younes Bensouda Mourri

    Certificate: Yes

    Let’s start our list of the best NLP courses with this popular intermediate-level course on Coursera. This natural language processing course is one of the 4 courses that make up the Natural Language Processing Specialization from DeepLearning.AI.

    The course educates the learners on using logistic regression and naive Bayes to perform sentiment analysis on a string of tweets. Moreover, in this NLP course, you will learn how to use vector space models for uncovering relationships between words and visualize the same.

    This course also helps the learners to know how to reduce the dimensionality of the vector space. Moreover, learners will get to write a simple English to French translation algorithm that uses the popular k-nearest neighbors algorithm.

    The course is delivered by 3 instructors; Eddy Shyu, Lukasz Kaiser, and Younes Bensouda Mourri. Eddy is the Product Lead at DeepLearning.AI, Lukasz is a Staff Research Scientist at Google Brain, and Younes is the Instructor of AI at Stanford University.

    Key highlights

    • You can find the course in English and Japanese.
    • It is an ideal NLP course to learn how to develop a chatbot.
    • Over 109k students have enrolled for this course which flaunts an average 4.6-star rating from 3.4k+ reviews.

    You can sign up for the course here .

    2. Introduction to Natural Language Processing

    By: Great Learning

    Level : Beginner

    Duration: 4-and-a-half hours

    Certificate: Yes

    Learners are introduced to the basics of natural language processing in this introductory NLP course. The is a free NLP course that also focuses on TextBlob, which is one of the most popular libraries for data preprocessing.

    The course comes with a quiz that helps learners to assess how well they’ve learned from the course. The Introduction to Natural Language Processing course will help learners to develop the following skills:

    • Basics of natural language processing
    • Data preprocessing
    • Introduction and functionalities of Textblob
    • Lemmatization
    • Machine learning and logistic regression
    • Modeling techniques in NLP
    • Removing stopwords
    • Sentiment analysis
    • Stemming
    • Tokenization

    This is a new course that has only been taken by 9.2k+ learners so far. Nonetheless, it flaunts an impressive 4.42-star rating which is the average of 391 ratings.

    Key highlights

    • This natural language processing course is available for free.
    • Despite being a free course, it offers a shareable certificate of completion.

    To start learning the course, you can register here .

    3. Data Science: Natural Language Processing (NLP) in Python

    By : Udemy

    Level : Intermediate

    Duration: 12 hours

    Instructor: Lazy Programmer Inc.

    Certificate: Yes

    Data science and NLP go hand in hand. This intermediate-level course focuses on natural language processing with Python. In this course, learners will write their own cipher decryption algorithm using genetic algorithms and Markov models.

    In this natural language processing course, learners will also write sentiment analysis code in Python. Additionally, the course educates learners on how to write:

    • An article spinner.
    • Spam detection code.
    • Code for performing latent semantic analysis.

    All of these are accomplished using the Python programming language. The course is prepared by Lazy Programmer Inc., which is one of the most popular instructors on Udemy for AI and machine learning, offering more than 30 courses.

    The course is divided into 15 sections, which are further divided into 88 video lectures. Till the time of this write-up, almost 42k students have enrolled for the NLP course.

    Key highlights

    • Alongside English, the language processing language course is available in German, Polish, Portuguese, and Spanish languages.
    • The natural language processing course boasts a superb 4.6-star rating and whopping 10,988 reviews.
    • It is accessible via mobile and TV.

    You can get started with the course by signing up here .

    4. Text Analytics 1: Introduction to Natural Language Processing

    By : edX (and University of Canterbury)

    Level : Beginner

    Duration: 6 weeks

    Instructor: Girish Prayag, Jeanette King, Jonathan Dunn, and Tom Coupe

    Certificate: No

    This is the best NLP course for beginners that focuses on the core techniques of computational linguistics and cognitive science, making it possible. The natural language processing course also discusses text mining, text processing, topic modeling, and sentiment analysis.

    With this course, learners will know the scientific as well as ethical foundations of text analysis. Here, learners will develop apps using unstructured data and apply ML classifiers to group documents by author and content.

    Text Analytics 1: Introduction to Natural Language Processing is part of the Professional Certificate in Text Analytics with Python offered by the University of Canterbury. The entire course consists of the follwoing three modules:

    1. Why Use Text Analytics?
    2. Working with Text Data
    3. Text Classification

    The NLP course has 4 instructors; Girish Prayag, Jeanette King, Jonathan Dunn, and Tom Coupe.

    All of them work at the University of Canterbury. Girish and Jeanette are professors while Jonathan is a lecturer, and Tom is an associate professor.

    Key highlights

    • The natural language processing course is ideal for candidates looking to develop a robust understanding of NLP, both scientifically and ethically.
    • A free option for availing of the course is available via Audit Track. However, this option doesn’t offer a certificate of completion.

    To get started with the course, enroll here .

    5. Natural Language Processing with spaCy & Python - Course for Beginners

    By : YouTube (and freeCodeCamp.org)

    Level : Beginner

    Duration: 6 hours

    Certificate: No

    This is a YouTube video course on natural language processing intended for beginners. Developed by Dr. William Mattingly, Natural Language Processing with spaCy & Python discusses many things related to Python , NLP, and spaCy, which is a popular library for advanced natural language processing.

    The natural language processing course educates learners on spaCy. This includes an introduction to the popular open-source NLP tool, how to install it, spaCy containers, and applied spaCy Financial NER. In addition to that, the course explains:

    • Linguistic annotations.
    • Named entity recognition.
    • RegEx: Basics and Multi-Word Tokens.
    • Word vectors.
    • Custom components.

    It is important to note that since it is a YouTube video course, there is no certificate of completion available. Up to this point, the NLP video course has accumulated over 244k views and 5.1k likes.

    Key highlights

    • It is a completely free NLP course.
    • The course links to various other helpful resources for learning natural language processing.

    No need to sign up for the course.

    6. Natural Language Processing in TensorFlow

    By : Coursera (and DeepLearning.AI)

    Level : Intermediate

    Duration: 4 weeks (25 hours)

    Instructor: Laurence Moroney

    Certificate: Yes

    This course explains performing various NLP tasks using the immensely popular open-source AI and ML library from Google, TensorFlow. With this best NLP training course, candidates will learn the TensorFlow best practices for training artificial neural networks for computer vision applications.

    Natural Language Processing in TensorFlow is part of the DeepLearning.AI TensorFlow Developer Professional Certificate offered by DeepLearning.AI. With this course, candidates will learn how to build NLP systems with TensorFlow.

    The NLP course also dives into processing text, tokenization, and representing sentences as vectors. Training LSTMs on the existing text and applying GRUs, LSTMs, and RNNs in TensorFlow are also explained thoroughly.

    As it is an intermediate-level natural language processing course, learners need to be well-versed in coding with Python and high school-level mathematics.

    Developed by DeepLearning.AI, the instructor for the course is Laurence Moroney, who is the Lead AI Advocate at Google. At the time of writing this, the course has been taken by over 106k learners.

    Key highlights

    • It is an ideal course to learn TensorFlow.
    • The course is available in a multitude of languages, including French, Italian, Japanese, Korean, and Spanish.
    • The NLP course flaunts an excellent 4.6-star rating and almost 6k reviews.

    Get started with the course here .

    7. Introduction to Natural Language Processing

    By : Analytics Vidhya

    Level : Beginner

    Instructor: Shivam Bansal

    Certificate: Yes

    The Introduction to Natural Language Processing is among the best free beginner-level NLP courses. This program educates learners in developing a sentiment analysis model using machine learning and natural language processing.

    It details tokenization, text normalization, speech tagging, grammar parsing, implementing regular expressions in Python, implementing text pre-processing using NLTK, and so on. The entire NLP course is divided into five modules, which are:

    1. Module 1: Introduction to Natural Language Processing
    2. Module 2: Learn to use Regular Expressions
    3. Module 3: First Step of NLP - Text Processing
    4. Module 4: NLP Certification Exam
    5. Module 5: Where to go from here?

    The course instructor for the natural language processing course is Shivam Bansal. He is an experienced full-stack data scientist with 5+ years of work experience. Moreover, he ranks 2nd in Kaggle Kernels ranking.

    Key highlights

    • It is a free course.
    • The course comes with a certificate of completion with lifetime validity.

    You can start learning the course here .

    8. Become a Natural Language Processing Expert

    By : Udacity

    Level : Intermediate

    Duration: 3 months (10 to 15 hours per week)

    Instructor: Luis Serrano, Jay Alammar, Arpan Chakraborty, and Dana Sheahen

    Certificate: Yes

    This is an intermediate-level online NLP course from Udacity that focuses on explaining leading natural language processing techniques to analyze text and process speech.

    It details the development of deep learning and probabilistic models, like RNNs and hidden Markov models, to train computer systems for performing machine translation, speech recognition, and so on.

    Since it is an intermediate-level natural language processing course, interested candidates need to have at least intermediate-level proficiency in Python programming and familiarity with OOPS.

    A good understanding of ML techniques, statistics, and probability is also necessary. Candidates must also have at least a basic understanding of a minimum of 1 deep learning framework, such as Keras, PyTorch and TensorFlow .

    The entire course is divided into three sections, namely Introduction to Natural Language Processing, Computing with Natural Language, and Communicating with Natural Language.

    Key highlights

    • The course comes with projects designed by industry experts.
    • Technical mentor support is available for the NLP course.
    • It is a flexible learning program.
    • The NLP course features GitHub and LinkedIn career services.

    You can get started with the course here .

    9. NLP - Natural Language Processing with Python

    By : Udemy

    Level : Beginner

    Duration: 11 hours and 24 minutes

    Instructor: Jose Portilla

    Certificate: Yes

    It is a beginner-level NLP training course that covers deep learning, machine learning, NLTK, spaCy, and more. With this NLP course, learners will get to know a lot many things, including:

    • Performing sentiment analysis with NLTK.
    • Using:
      • Deep learning to build a chatbot.
      • Part of speech tagging to automatically process raw text files.
      • SciKit-Learn for text classification.
    • Visualizing POS and NER with spaCy.
    • Working with PDF and text files in Python.
    • Understanding named entity recognition and vocabulary matching with spaCy.

    The complete course is divided into 9 sections and 80 video lectures. All you need to opt for this NLP course is access to a computer, a stable internet connection, and a basic understanding of programming in Python.

    The course instructor is Jose Portilla, who is the Head of Data Science at Pierian Training. He holds BS and MS degrees in mechanical engineering from Santa Clara University. Over 57k candidates have enrolled for the popular course so far.

    Key highlights

    • The course is available in a galore of languages, including Dutch, French, Indonesian, Thai, and Vietnamese.
    • It is one of the most popular NLP courses on Udemy, with 11.3k+ reviews and an average 4.6-star rating.

    To start learning the course, you can enroll here .

    10. Text Analytics 2: Visualizing Natural Language Processing

    By : edX (and University of Canterbury)

    Level : Beginner

    Duration: 6 weeks (3 to 6 hours per week)

    Instructor: Girish Prayag, Jeanette King, Jonathan Dunn, and Tom Coupe

    Certificate: Yes (if opted for Verified Track)

    This online NLP course is a part of the Professional Certificate in Text Analytics with Python offered by the University of Canterbury. It makes learners enhance their knowledge of the core techniques in computational linguistics with case studies and visualizing results.

    In this course, learners will know using document similarity and topic models for working with large datasets. Also, they will learn to visualize and interpret text analytics and assess the ethical and scientific foundations of text analysis applications.

    The course curriculum is divided into 3 modules; Text Similarity, Visualizing Text Analytics, and Applying Text Analytics to New Fields. The introductory-level natural language processing course is delivered by the UCx faculty; Girish Prayag, Jeanette King, Jonathan Dunn, and Tom Coupe.

    Girish and Jeanette are professors, Jonathan is a lecturer, and Tom is an associate professor at the University of Canterbury.

    Key highlights

    • The course is available for free via Audit Track. However, availing the course for free will not provide you with a certificate of completion.
    • It is a self-paced program.
    • An optional upgrade for the natural language processing course is available for free.

    You can sign up here for the course.

    11. Introduction to Natural Language Processing in Python

    By : Datacamp

    Level : Intermediate

    Duration: 4 hours

    Certificate: No

    Introduction to Natural Language Processing in Python is one of the best NLP courses for beginners. It teaches learners about the fundamentals of natural language processing using Python. You will get acquainted with extracting valuable insights from real-world text data.

    Furthermore, this NLP course will educate you on identifying and separating words, extracting topics in a text, and building your own fake news identifier. You will learn how ot use basic NLP libraries, such as NLTK.

    The course consists of 25 videos spread across 4 chapters, as follows:

    • Regular expressions & word tokenization
    • Simple topic identification
    • Named-entity recognition
    • Building a "fake news" classifier

    Along with it, you will find 51 exercises throughout the course to test your grasp of the subject. At the time of writing this article, there were a total of 88K enrollees.

    You can sign up for the course here .

    Conclusion

    Finally, we've come to the end of our list of the top ten NLP courses. Natural language processing is currently one of the most prominent fields in deep learning and AI. Therefore, it is a top career avenue for newcomers and professionals alike.

    There are already so many applications of NLP we see these days, which are only going to get even more in the future. We hope that you find this list helpful in selecting the best NLP course for you.

    You can supplement your natural language processing learning experience with books, certifications, webinars, and other learning material. We wish you all the luck!

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    FAQs


    Among all programming languages, Python stands out to be an ideal language for natural language processing, followed by Java and R. Python has shown to be a successful language for NLP despite not being created with that purpose in mind.

    Yes, learning NLP will definitely be worth it in 2022 because it is one of the most interesting fields of machine learning. Since it is a growing field in research, learning NLP would open up a lot of job opportunities. Many other fields that leverage NLP are data science, general science, and marketing. Therefore, you can find high-paying jobs after learning and mastering NLP.

    When it comes to market growth and trends of NLP, it was valued at $10.72 billion in 2020. By 2026, it was projected to be worth $48.46 billion. In addition, NLP has proven to be a boon for the healthcare sector in the COVID-19 pandemic. From the market value, we can conclude that NLP is one of the most demanding and competitive fields right now and in the near future.

    While machine learning entails creating models that learn and function on their own without any human intervention, NLP allows machines to understand and interpret the written text.

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