Top Online NLP Courses and Certifications to Enrol in 2022
NLP courses and certifications are gaining popularity for voice assistants and chatbots.
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NLP or Natural Language Processing is one of the key parts of artificial intelligence to boost the performance of voice assistants or chatbots efficiently. It has transformed the methods of communication between humans and machines, B2Cs, and many more. The global NLP market size is expected to hit US$35.1 billion in 2026 with a CAGR of 20.3%. Students are highly interested in certificate courses on natural language processing for enhancing more interaction efficiency. Yes, there are multiple NLP online certificate courses available on professional learning platforms such as Coursera, Udemy, edX, and many more. Courses on NLP help students to have a better understanding of the fundamentals and concepts with hands-on projects to face real-life complex problems in reputed companies. Thus, let’s explore some of the top NLP courses and certifications in 2022 to enroll in to add value to CVs.
Top NLP courses and certifications in 2022
NLP- Natural Language Processing with Python at Udemy
Duration: 11 hours 24 mins
This NLP course and certification at Udemy offers to teach about the use of machine learning, Spacy, NLTK, deep learning, and many more to conduct NLP efficiently. This course on NLP covers 80 lectures in nine sections including the introduction, Python text basics, NLP basics, text classification, semantics and sentiment analysis, deep learning for NLP, etc.
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Data Science: Natural Language Processing (NLP) in Python at Udemy
Duration: 11 hours 47 mins
The certificate course on natural language processing at Udemy helps in gaining a deep understanding of applications, sentiment analysis, latent semantic analysis, spam detection, and many more. There is a total of 15 sections consisting of 88 lectures covering natural language processing, machine learning basics, decrypting cipher, NLTK exploration, and other concepts.
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Natural Language Processing with Deep Learning in Python at Udemy
Duration: 11 hours 59 mins
The certificate course on NLP provides a complete guide on deriving as well as implementing word2vec, word embeddings, as well as sentiment analysis with recursive nets. This NLP online certificate course covers 13 sections with 95 lectures including the review of language modeling and neural networks, using neural networks for NLP problems, Theano and TensorFlow basics, and many more.
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Natural Language Processing Specialization at Coursera
Duration: 4 months
The NLP online certificate course helps to become a master in cutting-edge NLP techniques with four specializations such as natural language processing with classification and vector spaces, natural language processing with probabilistic models, natural language processing with sequence models, and natural language processing with attention models.
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Natural Language Processing for Stocks News Analysis at Coursera
Duration: 2 hours
Coursera offers some of the top NLP courses and certifications such as natural language processing for stocks news analysis. This course on NLP helps in creating a pipeline to perform tokenization and padding, understanding recurrent neural networks and LSTM, and training deep learning models. There are ten tasks to learn step-by-step that participants can learn at their own pace to gain sufficient knowledge.
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Natural Language Processing Expert at Udacity
Duration: 3 months
This NLP online certificate course helps to master the skills to get computers to understand and manipulate human language efficiently. Candidates can build models on real-time data as well as gain practical experience with sentiment analysis, machine translation, and more. The certificate course on natural language processing covers the introduction to natural language processing, computing with natural language, and communicating with natural language.
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Text Analytics 2: Visualizing Natural Language Processing at edX
Duration: 6 weeks
edX is known for offering one of the leading NLP courses and certifications for extending the knowledge of core techniques of computational linguistics through case studies as well as visualizing results. Aspiring techies can have a deepe understanding of visualizing and interpreting the output of text analytics by using Jupyter Notebooks. There are three modules including text similarity, visualizing text analytics, and applying text analytics to new fields.
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