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10 Best + Free Natural Language Processing Courses with Certificates

Learn Natural Language Processing (NLP) for free with these top online courses that offer certificates.

Key Takeaways:

  • Free courses from top universities and platforms.
  • Covers NLP fundamentals and advanced techniques.
  • Includes hands-on projects.
  • Certificates provided upon completion.

What are the best free Natural Language Processing courses with certificates?

The best free NLP courses with certificates include “Natural Language Processing with Classification and Vector Spaces” by Coursera, “Deep Learning for NLP” by Udacity, and “Introduction to Natural Language Processing” by edX.

# Course Name University/Organization Ratings Duration
1. Natural Language Processing: Foundations National University of Singapore 24 Hours
2. Getting Started with Natural Language Processing with Python Pluralsight ★★★★★ 4.7 02 Hours
3. Text Analytics Course: Introduction to Natural Language Processing University of Canterbury 36 Hours
4. Natural Language Processing with Deep Learning in Python Udemy ★★★★★ 4.6 12 Hours
5. Feature Engineering for NLP in Python datacamp 04 Hours
6. Hands On Natural Language Processing (NLP) using Python Udemy ★★★★★ 4.6 11 Hours
7. Natural Language Processing Specialization DeepLearning.AI ★★★★★ 4.6 136 Hours
8. Free Natural Language Processing Courses SkillShare
9. Become a Natural Language Processing Expert Udacity 180 Hours
10. Top Natural Language Processing Courses Udemy
11. Applied Artificial Intelligence: Natural Language Processing CloudSwyft 18 Hours
12. Advanced NLP with spaCy datacamp 05 Hours
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Natural Language Processing Courses Evaluation & Selection Criteria

We selected the best NLP courses by considering the depth of content, instructor expertise, and practical application. The courses included are from top educational platforms, offering comprehensive coverage of NLP fundamentals and advanced techniques, and have strong positive feedback from participants.

Best + Free Natural Language Processing Courses with Certificates

Natural Language Processing: Foundations

      • National University of Singapore via edX
      • 24 Hours of effort required!
      • Study Type: Self-pacd

In this course, you will learn the foundations of how computers understand the processing system and then produce human languages, known as Natural Language Processing  (NLP).

  • The best thing about this course is its focus on explaining why Natural Language Processing is so challenging for computers. You will learn how to process natural language into a representation that is suitable for computers.
  • This course is for those who wish to master language models and understand how to build text classification programs through different classification paradigms.

Getting Started with Natural Language Processing with Python

      • Swetha Kolalpudi via Pluralsight
      • 02 Hours of effort required!
      • ★★★★★ (270 Ratings)
Online Course Effectiveness Score
Content Engagement Practice Career Benefit
Good
★★★★☆
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

In this engaging class, you will get all the information required to get started with Natural Language Processing with Python. Here you will be taught how to scrape websites for texting through Beautiful Soup.

  • The reason why we chose this class is its focus on exploring how to classify text using machine learning. You will also learn to auto-summarize text using machine learning.
  • This class is for those who wish to become confident at processing raw data and then applying machine learning algorithms to it.

Text Analytics Course: Introduction to Natural Language Processing

      • University of Canterbury via edX
      • Study Type: Self-paced
      • 36 Hours of effort required!

Are you interested in learning the core techniques of computational linguistics alongside cognitive science? If yes, then this course is for you.

  • The best thing about this course is its focus on explaining how to construct applications using unstructured data like news, articles, and tweets.
  • This course is for those who wish to understand how to apply machine learning classifiers to categorize documents by content and author.

Natural Language Processing with Deep Learning in Python

      • Lazy Programmer Inc. via Udemy
      • 42,583+ already enrolled!
      • ★★★★★ (7,172 Ratings)

Online Course Effectiveness Score
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Fair
★★★☆☆
Fair
★★★☆☆

This course is a complete guide on how to derive and implement word2vec, GloVe, word embedding, and sentiment analysis with recursive nets.

  • The reason why we chose this course is its focus on explaining the skip-gram method in word2vec and the negative sampling optimization in word2vec.
  • This course is for those who wish to understand and implement recursive neural networks for sentiment analysis. Those who need to understand how to use recurrent neural networks for named entity recognition should also take this course.

Ready to dive into the world of neural networks with certification? Explore our curated selection of courses for a rewarding learning experience.”

This course turned out to be a great source in helping me understand everything about neural word embeddings. It made me confident enough to implement them myself. When I took this course, I had little knowledge of it and how I have a strong grasp on how word2vec and glove work. (Jackie G, ★★★★★)

Feature Engineering for NLP in Python

      • Rounak Banik via datacamp
      • 18,363+ already enrolled!
      • 04 Hours of effort required!

This “Feature Engineering for NLP in Python” class talks about all the techniques required to extract useful information from the text and then process them into a suitable format for applying ML models.

  • The best thing about this class is its focus on explaining all about POS tagging, named entity recognition, readability scores, the n-gram, and so much more.
  • This class is for those who wish to learn to computer how similar two documents are to each other and how to implement the tf-idf models using scikit-learn and spaCy.

Hands On Natural Language Processing (NLP) using Python

      • Next Edge Coding via Udemy
      • 8,938+ already enrolled!
      • ★★★★★ (1,475 Ratings)

Online Course Effectiveness Score
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Fair
★★★☆☆
Fair
★★★☆☆

In this course, you will learn all about Natural Language Processing (NLP) and text mining. This will be done by explaining how to create a text classifier, article summarizer, and many other things.

  • The best thing about this course is its focus on explaining the various concepts of natural language processing along with their implementation. You will also learn in detail how to build natural language processing-based applications.
  • This course is for those who wish to learn all about the different modules available in Python for NLP and create personal text summarizers.
I can say this is a perfect course for all the NLP beginners. Not only it covers the background knowledge regarding the different libraries for deeper understanding but also helps you understand how to implement all of it using NLP models. (Nainy J, ★★★★★)

continue with more Natural Language Processing Classes and Courses…

Natural Language Processing Specialization

      • DeepLearning.AI via Coursera
      • 88,346+ already enrolled!
      • ★★★★★ (4,581 Ratings)

Online Course Effectiveness Score
Content Engagement Practice Career Benefit
Excellent
★★★★★
Excellent
★★★★★
Good
★★★★☆
Fair
★★★☆☆

In this intermediate-level specialization, you will be taught how to use logistic regression, Naïve Bayes, and word vectors for implementing sentiment analysis.

  • The best thing about this specialization is its focus on explaining how to use dynamic programming and word embeddings for implementing autocorrect and learning all about the hidden Markov models.
  • This specialization is for those who wish to learn to use recurrent neural networks, text general, named entity recognition, and so much more in detail.
This specialization is a great way for learners to understand cutting-edge NLP techniques. All the four courses are engaging and have unique content to offer. Taking this specialization will help you further your understanding of NLP. (Anonymous Learner, ★★★★★)

Free Natural Language Processing Courses

      • via SkillShare

If you are interested in learning everything there is about Natural Language Processing, how it works, what it does, its purpose, and other things then SkillShare has got you covered with a wide range of Free Natural Language Processing Courses. Whether you want to learn Natural Language Processing with Python or AWS. Similarly, want to know all about Twitter sentiment analysis or learn about sentiment analysis with Keras in Python, you can find a course for yourself at SkillShare. Therefore, visit the site and find the right course for yourself today and start learning for free.

Become a Natural Language Processing Expert

      • via Udacity

This course will help you master all the skills required to get computers to understand processes, and manipulate human language.

  • The best thing about this course is its focus on explaining how to build models on real data and getting hands-on experience with sentiment analysis, machine translation, and more.
  • This course is for those who wish to learn advanced techniques like word embeddings, deep learning attention, and how to build a machine translation model using recurrent neural network architectures.

Top Natural Language Processing Courses

      • via Udemy

If you want to learn about natural language processing from scratch or wish to only understand the basics or need to learn NLP with deep learning in Python or any other thing about NLP, Udemy offers Top Natural Language Processing Courses that allow you to learn NLP from the comfort of your home.

Applied Artificial Intelligence: Natural Language Processing

      • CloudSwyft via FutureLearn
      • 18 Hours of effort required!
      • Study Type: Self-paced

This engaging class is all about explaining how Natural Language Processing us a crucial component in AU and what are its core problems.

  • The reason why we chose this class is its focus on explaining how to apply deep structured semantic models on information retrieval and natural language applications.
  • This class is for those who wish to learn to apply deep learning models on image captioning and visual question answering.

Advanced NLP with spaCy

      • Ines Montana via datacamp
      • 16,537+ already enrolled!
      • 05 Hours of effort required!

In this class, you will understand how to use spaCY for building advanced natural language understanding systems.

  • The reason why we chose this class is its focus on explaining how to use both rule-based and machine-learning approaches.
  • This class is for those who wish to learn to build advanced natural language understanding systems in detail.

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