Are you looking for a good start in the Natural Language Processing field? If your answer is yes, you are in the right place. Today, this NLP technology is the hottest topic in the IT market. Let me tell you, why?
Due to the ongoing pandemic, the market is witnessing growth in demand for AI techniques and NLP to generate insights from freely available datasets on the internet. The Global NLP market was valued at USD 10.72 billion in 2020. Further, it has the potential to grow USD 48.46 billion by 2026. Hence, this exponential growth leads the organization to consider NLP engineers and make them a part to help in data-driven business decisions.
Whether a beginner or professional, you can learn NLP. So, I have put together the Best Natural Processing (NLP) Courses to check out and learn about this thriving technology.
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Best NLP Courses, Certification, Tutorials, Training, Classes Online
- Best Overall Natural Language Processing Specialization [Coursera]
- Best for Intermediate Become a Natural Language Processing Expert [Udacity]
- Best Budget Option Natural Language Processing (NLP) Courses [Udemy]
- Best for TensorFlow Natural Language Processing (NLP) Certification in TensorFlow [Coursera]
- Best for Beginner Natural Language Processing (NLP) [Codecademy]
Natural Language Processing Specialization [Coursera]
Coursera Natural Language Processing Program brings you to understand how NLP uses algorithms to interpret human language and manipulate it. There’s also a high demand for people who can build machine learning models to understand speech and text. It ensures to train you in designing NLP applications to perform question-answering, sentimental analysis. Additionally, you will create tools for translating language and summarizing the text.
Course Instructor
This Natural Language Processing Specialization is designed and taught by two experts in Python, Finance, and machine learning. Dr Ryan Ahmed is a best-selling Udemy Instructor who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.
Key Highlights & Learning Objectives
- Learn to use logistic regression, naive Bayes, and word vectors to implement the sentimental analysis.
- How to create an auto-correct algorithm using dynamic programming and N-gram model to compute word embeddings.
- Know about recurrent neural networks, LSTMs models, and Gated Recurrent Unit( GRU) language models for text generation.
- Understand how to build machine learning models to summarize text, question-answering, and the chatbot.
- Discover about encoder-decoders to perform advanced machine translation of complete sentences.
- Get access to free graded assignments, videos lectures, reading materials, and practice quizzes.
Who is it for?
This NLP Training Program is for software engineers who are looking to get a deeper understanding of NLP and students of machine learning/ artificial intelligence. You must have working experience in machine learning and intermediate Python coding knowledge. In addition, you are proficient in linear algebra, calculus, and statistics. After completion, it will share a printable certificate that you can attach on your LinkedIn profile or resume.
Rating: 4.6/5
Students Enrolled: 123,840
Duration: 4 months, 8 hours/week
Become a Natural Language Processing Expert [Udacity]
Want to master the skills in Natural Language Processing? This Udacity NLP Nanodegree Program gets you hands-on experience on how to process speech and analyze text. You will learn how computers and machines understand, process, and manipulate human language. This Natural Language Processing Course enables you to build deep learning models such as hidden Markov models and recurrent neural networks to teach computers speech recognition and text translation.
Course Instructor
This Udacity Nanodegree Program was created by four machine learning experts and instructors in collaboration with Amazon Alexa and IBM Watson. These mentors will guide you at every step and put more emphasis on timely answering your questions and motivating you. With Years of experience in the computer science field, Udacity instructors will tailor your skills and enhance your knowledge.
Key Highlights & Learning Objectives
- Learn about text processing fundamentals including stemming and lemmatization
- Discover machine learning methods in sentiment analysis.
- How to do computing with Natural Language Processing.
- Build a machine translation model using recurring current networks.
- Understand advanced techniques like word embeddings, deep learning, and more.
- Learn to use interface techniques that turn speech into text.
- Know how to build recognition models using deep neural networks.
Who is it for?
This Natural Language Processing Udacity Free Course is designed for learners who are familiar with advanced Python programming, have intermediate knowledge of statistics and machine learning, and have worked with deep learning frameworks like Tensorflow, Keras, or Pytorch.
Rating: 4.7/5
Duration: 3 Months at 10-15 hrs/week
Natural Language Processing (NLP) Courses [Udemy]
The most recommended e-learning platform Udemy offers you the Best Natural Language Processing Courses to learn NLP concepts from beginning to advanced. There are 40+ courses available on Udemy to learn Natural Language processing with the best instructor from all over the world. All the NLP programs and tutorials are categorized based on difficulty levels – Beginners, Intermediate, and Advanced. So anybody can upgrade the fundamental knowledge irrespective of their experience and background.
Course Instructor
NLP with Python, Deep learning, Data science with NLP, and Introduction to NLP are a few of the bestsellers courses on Udemy. Not sure which course you should opt for? Udemy has a filter option to narrow down the options and take a small quiz.
Key Highlights & Learning Objectives
- Learn about natural language processing using Python.
- Understand fundamentals of NLP and deep learning.
- How to build natural language processing-based applications.
- Get modern and advanced training in NLP.
- Discover concepts like neural networks, chatbot, NLTK, TensorFlow, and Text Mining with Python.
- Get unlimited access to video lectures, assignments, articles, and downloadable resources.
Who is it for?
Any beginner or professional can take the best NLP Courses on Udemy with little or no prerequisites. Some of the courses are free to enroll in and take classes. After each course, you will earn a certificate to showcase what skill you’ve learned.
Rating: 4.6/5
Duration: Self-paced
Natural Language Processing (NLP) Certification in TensorFlow [Coursera]
Are you interested in building scalable AI-powered algorithms? Take a look at this NLP Certification from Coursera. It will teach you about an open-source framework Tensorflow used for machine learning. You will learn to develop natural language processing systems using Tensorflow. This NLP Course Online is a part of Deep learning. AI Tensorflow Developer Professional Certificate. In the end, you know how to apply RNNs, GRUs, and LSTMs in Tensorflow.
Course Instructor
Laurence Moroney is the instructor of this Natural Language Processing Certification in Tensorflow who teaches how to use Tensorflow for applying machine learning scalable models to solve real-world challenges. It will take you closer to becoming a pro in deep learning techniques.
Key Highlights & Learning Objectives
- Learn how to build tokenizer and pad_sequences APIs in Tensorflow to encode text and sequences.
- Discover the process of how neural networks understand the sentiment in texts.
- Used training sequence models to understand the context in sequence.
- How to process text including tokenization and representing sentences as vectors.
- Train a neural network on existing text to create poetry and produce beautiful verses.
- Unlimited access to 51 video lectures, 23 reading materials, and 13 practice quizzes to strengthen the acquired skill.
Who is it for?
This Intermediate-level NLP Course Coursera is for those comfortable with Python and who understand high-school math. Before enrolling, you should take the first two courses of the DeepLearning Tensorflow Specialization from Coursera. You will get recognized with a shareable certificate upon completion.
Rating: 4.6/5
Students Enrolled: 144,552
Duration: 24 hours
Natural Language Processing (NLP) [Codecademy]
Codecademy launched this Natural Language Processing Online Course to provide an overview of NLP concepts. You will learn how computers work with human language and understand the process. This program will teach you NLP tasks such as generating responses, translating languages, identifying languages, summarizing documents, spell checking, speech recognition, and much more.
Course Instructor
This Natural Language Processing Online Program will build language models and natural language tools. It is designed to introduce the world of NLP and start from scratch.
Key Highlights & Learning Objectives
- Introduction of NLP technologies around us like autocorrect, virtual assistants, and auto-generated video caption.
- Train language models using tokenization techniques.
- Discover concepts such as topic modeling, text similarity, language prediction, and text generation.
- Access to advanced topics and applications of NLP.
- Get case studies to know how search engineers reinforce racism.
- Check how much you learned about NLP by taking a quiz in the end.
Who is it for?
You don’t need to have any prerequisites to attend this natural language processing syllabus. If you are a beginner, this course is the right choice to build your career in machine learning and deep learning. By the end, you will earn a certificate of completion.
Rating: 4.7/5
Students Enrolled: 16,497
Duration: 3 weeks
FAQ
What is Natural Language Processing?
Natural language processing is applied to analytic tools to read from a huge collection of natural language data to derive a meaningful conclusion. It has given rise to chatbots and virtual assistants to address the queries of millions of users.
This subset of artificial intelligence has important implications on the ways that computers and humans interact. Natural language processing just reduces the gap between human communication and digital data.
Is it difficult to learn Natural Language Processing?
Natural Language Processing is used to train computers to understand the natural or human language. It is also considered a difficult problem in computer science. Humans can master the language. But the ambiguity and impreciseness in the human language make it difficult for machines to understand. So, it takes a lot of time to write algorithms and use the NLP technique for machines to recognize the Natural Language.
Is NLP a good field?
Developers use NLP to perform speech recognition, sentiment analysis, auto-correct, and automated answer generation. However, it is a challenging field where machines deal with diverse languages. NLP has a lot of scopes, as it is used in customer service, grammar check, and text generation. Today, this field hires NLP engineers with an average salary of $180,000.
How long does it take to learn NLP?
Natural language processing is still a tricky technology to study. This subset of Artificial intelligence works with the rules that dictate how to pass the information using natural languages difficult for computers to understand. For learners, it might take 4 -5 months to master the art of NLP tasks and writing algorithms.
Are NLP engineers in demand?
NLP is one of the most in-demand skills in 2021. It ranks 7th in the popularity of the technologies. It is also expected the NLP market size to reach $26.4 million by 2024.
Final Words
I’ve put together all the best NLP courses and certifications in the. You can kickstart a high-paying career. As there’s a saying, nothing is impossible. So, becoming an expert in Natural Language processing is also possible. It is a lucrative career to invest your time and money in. You can choose the one after checking reviews and key features.
