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Top 7+ Best Free Online NLP Courses & Classes 2021

9 hours ago

1. Fundamentals of NLP | Neuro-Linguistic Programming (Skillshare) If you’re after a beginner’s course to teach you the fundamentals of NLP, this free online course is a great introduction!
2. NLP, Hypnosis & Mindfulness Meditation Techniques (Skillshare) If you’ve been curious to try meditation or deepen your practice, this free online course holistically blends NLP with meditation, mindfulness, and hypnosis.
3. NLP Practitioner Certificate Course (Beginner to Advanced) (Udemy) For students looking to become certified as an NLP practitioner, this may be the course you are looking for!
4. NLP Master Guide To Achieving Extraordinary Results (Skillshare) Become an NLP expert in a day in this comprehensive free online NLP course that gives you the skills to start up an NLP practice right away.
5. Deep Learning: Advanced NLP and RNNs (Udemy) If you’re looking for an advanced NLP course to really deepen your knowledge, this is the course for you.
6. Neurolinguistics (Coursera) Next on my list is another great that comes highly recommended with a 4.7/5 rating! This introductory online course teaches you the key principles of NLP and goes even deeper.
7. Online NLP Training & NLP Certification Institute (InlpCenter) Take part in a free and fully accredited NLP online training course that gives you the flexibility to take your learning at your own pace, and the opportunity to engage deeply with your instructors and fellow students.

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5 Best NLP Python Courses & Tutorials [2021 DECEMBER]

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1. Data Science: Natural Language Processing (NLP) in Python (Udemy) Individuals having a basic knowledge of Python, machine learning, and maths can sign up for this Natural Language Processing course on Udemy to advance their education.
2. NLP – Natural Language Processing with Python (Udemy) Become an expert in Natural Language Processing by enrolling for this NLP course on Udemy. It covers basics as well as advanced techniques of Machine Learning and Deep Learning Algorithm through Python.
3. Introduction to Natural Language Processing in Python (DataCamp) DataCamp covers Natural Language Processing applications using Python through 15 tutorial videos in this online course.
4. Hands-On Natural Language Processing (NLP) using Python (Udemy) A course based entirely on practical projects, this NLP course on Udemy is for anyone with interest in machine learning or Python.
5. Natural Language Processing (Coursera) This course on NLP is designed by the National Research University Higher School of Economics, and it covers the advanced learnings in Machine Learning.

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12 Best NLP Courses in 2021: Beginner to Advanced Level

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1. Deep Learning: Advanced NLP and RNNs. Provider: Udemy. Course Content: 8 Hours| 63 Lectures. Type of Certification: Course Completion. Pricing: $9 (97% Discount)
2. Become a Natural Language Expert – [Nano Degree] Provider: Udacity. Course Content: 3 months| 10-15 hrs/ week. Type of Certification: Course Completion. Pricing: Rs 58257 for 3 months.
3. Natural Language Processing – Part of Advanced Machine Learning. Provider: Coursera. Course Content: 38 Hours| 9 Readings|44 videos. Type of Certification: Course Completion.
4. Natural Language Processing in TensorFlow. Provider: Coursera. Course Content: 12 Hours| 13 Readings| 51 Videos. Type of Certification: Course Completion. Pricing: Free.
5. Natural Language Processing (NLP)- Introduction to Cutting-edge Technologies. Provider: Edx.org [By Microsoft] Course Content: 6 Weeks| 4-8 hours/ Week.
6. Natural Language Processing with Deep Learning in Python. Provider: Udemy. Course Content: 12 Hours | 95 Lectures. Type of Certification: Course Completion.
7. Sequence Models for Time Series and Natural Language Processing: Provider: Coursera. Course Content: Approximate 20 Hours| 67 Videos| 2 readings. Type of Certification: Paid certificate available upon Course Completion.
8. Natural Language Processing and Language Understanding in Educational Research. Provider: Edx.org [By Universit of Texas] Course Content: 3 Weeks| 5-7 Hours/ Week.
9. NLP – Natural Language Processing with Python. Provider: Udemy. Course Content: 11Hours 24 minutes| 80 Lectures| 9 Sections. Type of Certification: Course Completion.
10. Getting Started with Natural Language Processing with Python. Provider: Pluralsight. Course Content: 1Hr 44m. Type of Certification: Course Completion. Pricing: $19.92/month.

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NLP Practitioner Certificate: Certification Course Udemy

9 hours ago  · NLP Practitioner Training (Neuro-Linguistic Programming) Gain an in-depth understanding of Neuro-Linguistic Programming (NLP) for personal growth and professional excellence. Bestseller. Rating: 4.6 out of 54.6 (21,947 ratings) 121,492 students. Created by Kain Ramsay, The Academy of Modern Applied Psychology. …

Rating: 4.6/5(21.8K)

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NLP Certificate: NLP Practitioner Certification ABNLP Udemy

5 hours ago  · Study your NLP (Neuro-Linguistic Programming) Certification 100% online . This is the only course to effectively deliver the internationally agreed standard minimum syllabus for an NLP Practitioner training on Udemy. This is a very complete NLP Certification training that is similar to an in person training, only a lot more accessible and

Rating: 4.6/5(7.5K)

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NLP Life Coach Certification Training – Start Your

5 hours ago When you complete our NLP-Integrated Life Coach Training you will receive 2 NLP Certifications (MNLP, PNLP), 1 Life Coach Certification (CLC), and 1 Master Coach Certification (MLC) (if enrolled in our Master Coach Training). If you received a bonus course when you enrolled, you will also receive that certification as applicable.

Rating: 4.9/5

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10 Best NLP Online Courses & Certifications in 2021 [For

2 hours ago

1. Microsoft: Explore Natural Language Processing. This is a beginner-level NLP course that focuses on teaching learners the NLP basics by leveraging the Microsoft Azure platform.
2. Microsoft Certified: Azure AI Fundamentals. This is an advanced level certification course by Microsoft that allows professionals to master AI and ML concepts and workloads and learn how to implement them on Azure.
3. PG Certification in Machine Learning and NLP (upGrad) upGrad offers this short-term (six-month) course for working professionals. Covering over 250 hours of learning, the course consists of five modules – Data Science Tool Kit, Statistics and Exploratory Data Analytics, Machine Learning, Machine Learning II, and Natural Language Processing.
4. Google Developers Certification. This is a level one certificate course designed to test your foundational knowledge of working with and integrating ML techniques into real-world solutions.
5. Amazon: Machine Learning University course on Natural Language Processing. In 2016, Amazon launched its in-house Machine Learning University (MLU), intending to deliver courses that can help ML practitioners upskill and expand their domain knowledge.
6. PG Certification in Machine Learning and Deep Learning (upGrad) Another six-month course from upGrad, this ML and DL program also includes five modules – Data Science Tool Kit, Statistics and Exploratory Data Analytics, Machine Learning, Machine Learning II, and Deep Learning.
7. From Languages to Information (Stanford University) This course is an excellent choice for beginners. It includes relevant learning materials like a Python tutorial, text processing with Unix tools, Naive Bayes and sentiment analysis, logistic regression, information retrieval, vector semantics, neural embeddings, recommender systems, and much more.
8. Natural Language Processing with Deep Learning (Stanford University) This is an advanced NLP course that requires candidates to be proficient in Python and be well-versed with the fundamentals of calculus, statistics, and machine learning.
9. Deep Learning for Natural Language Processing (University of Oxford) This advanced NLP course focuses on studying the recent advances in analyzing and generating speech and text using recurrent neural networks (RNNs).
10. Natural Language Processing (University of Washington) This course encompasses all the relevant NLP topics, including text, classification, tagging, parsing, machine translation, semantic, discourse analysis, and Hidden Markov Models, among other things.

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