Natural Language Processing (NLP) is a rapidly growing field in Artificial Intelligence (AI) and machine learning. NLP helps machines understand and decipher text and voice elements and transform manual assignments towards automation.
It interprets linguistics by simplifying question answers, text summaries, sentiment analysis, etc. In recent years, the field has seen an upsurge in popularity due to its increasing applications in healthcare and finance.
The internet is full of free online NLP courses and classes that are designed to help people learn the basics of NLP and become familiar with its various applications. These courses range from beginner-friendly introductions to more advanced topics like deep learning and neural networks.
By taking these courses, individuals can gain a thorough understanding of how NLP works and how it can be used to develop powerful AI systems.
There are also resources available that provide tutorials and hands-on projects to help people get started with NLP. With the right resources, anyone can develop the skills needed to become an expert in the field.
1. Natural Language Processing Specialization [Coursera]
Level: Intermediate Level
Certificate: Yes
Cost: Free
Duration: 4 Months.
This course from Coursera teaches advanced methods for analyzing and understanding human language. Students will learn to use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies, and translate words. Students will learn to use free nlp techniques like dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete and identify part-of-speech tags for words.
2. Introduction To NLP [Huggingface]
Level: Beginner Level
Certificate: No
Cost: Free
Duration: 4-5 hours
This course will teach you about natural language processing (NLP) using libraries from the Hugging Face ecosystem — Transformers, Datasets, Tokenizers, and Accelerate — as well as the Hugging Face Hub. It is designed to be an introductory course to give you the tools and knowledge necessary to apply free nlp techniques to your own projects.
3. Build a Natural Language Processing Solution [Pluralsight]
Level: Beginner
Certificate: Yes
Cost:Free During 10 Day trial period
Duration: 1h 5m
Build a Natural Language Processing Solution with Microsoft Azure; you will learn how to leverage Microsoft Azure’s Text Analytics Cognitive Service to extract user sentiments. You will gain hands-on experience with features such as retrieving and processing key phrases in tweets, detecting the language in the tweet, and deciphering its sentiment. This course offers the skills of an AI engineer to effectively extract user sentiments, key phrases, entity information, and language using Microsoft Azure’s Text Analytics Cognitive Service.
4. Natural Language Processing (NLP) for Beginners [Udemy]
Level: Beginner
Certificate: Yes
Cost: Free
Duration: 2 hours
Introduction to Natural Language Processing (NLP) for beginners using NLTK. In this course, you will gain an introduction to corpus linguistics and then move on to find ways to access it. This is followed by learning frequency distribution that includes ways to calculate a corpus of words, tabulate it and plot its frequency. Finally, it covers the specific NLP stemming, lemmatization, and tokenization techniques. This course gives you the free nlp techniques and skills necessary to use NLTK for your NLP projects.
5. Text Analytics [Edx]
Level: Introductory
Certificate: Text Analytics with Python professional certificate
Cost: Free
Duration: 6 weeks
This course provides a practical and scientific introduction to natural language processing (NLP) and computational linguistics, providing core data science techniques. It teaches you the fundamentals of processing large data into usable, understandable functions.
6. Introduction to Natural Language Processing [Udemy]
Level: Beginner
Certificate: Yes
Cost: Free
Duration: 37min of on-demand video
Natural Language Processing (NLP) with Python is a beginner-level course that provides a comprehensive overview of Natural Language Processing (NLP). You will learn to use Python to conduct text mining and extract patterns from text data. You will also be introduced to the basics of Regular Expressions and the need for text pre-processing. This course provides you with the skillset and knowledge required to use Natural Language Processing (NLP) with Python.
7. Text Analytics 2: Visualizing Natural Language Processing [EdX]
Level: Beginner
Certificate: Yes
Cost: Free
Duration: 6 weeks
As someone interested in learning more about Natural Language Processing, this course looks like the perfect fit. It provides a practical and scientific introduction to text analytics, meaning you’ll be able to understand how it works and why it works simultaneously. Best of all, it’s beginner-level and free. It’s a 6-week course, and students will receive a certificate at the end.
8. Data Science: Natural Language Processing (NLP) in Python [Udemy]
Level: Beginner
Certificate: Yes
Cost: paid
Duration: 12 hours of on-demand video
This course on Udemy is designed to provide learners with an introduction to natural language processing (NLP) in Python. Students will learn to write their own cipher decryption algorithms using genetic algorithms and language modeling with Markov models. They will also learn how to write their own spam detection and sentiment analysis codes in Python and perform latent semantic analysis or latent semantic indexing in Python.
9. Natural Language Processing (NLP) in Python with 8 Projects [Udemy]
Level: Beginner
Certificate: Yes
Cost: Free
Duration: 10.5 hours of on-demand video
Natural Language Processing (NLP) is a line of study focusing on interactions between human language and computer systems. This course introduces you to the fundamentals of NLP with Python, including topics such as text pre-processing techniques, text summarization, text classification, free NLP techniques, and more. Students will also learn how to calculate sentiment scores from recently posted tweets using the Tweeter API, build their own Word Embedding (Word2vec) model with Keras, and apply Word Embeddings with Google’s pre-trained Model.
10. Modern Natural Language Processing in Python [Udemy]
Level: Beginner to Advanced
Certificate: Yes
Cost: Free
Duration: 6 hours of on-demand video
Natural Language Processing (NLP) is a powerful tool that helps understand human language and simplifies it to enable automation. This course equips you with the necessary skills to use the powerful Python libraries for NLP, such as Google Transformer, Convolutional Neural Networks (CNNs), and Tensorflow 2.0. In addition, you can learn to create custom layers and models for specific NLP tasks, pick the best Model for each task, create datasets for AI, understand the attention mechanism behind the most powerful NLP algorithms, and much more.
Final Thoughts
The power and potential of Natural Language Processing (NLP) are undeniable. With its ability to better understand human language and its applications in healthcare and finance, NLP is quickly becoming a must-have skill.
Thankfully, anyone can now learn the basics of NLP from the comfort of their own home with the wide variety of free online courses available.
These courses range from beginner-level introductions to more advanced topics such as deep learning and neural networks and provide students with the necessary skills, free NLP techniques, and knowledge to develop powerful AI systems.
With access to the right resources, anyone can become an NLP expert and unlock the potential of this rapidly growing field!
