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NLP Training in New York - Best NLP Certification Course

28,661 Ratings

Intellipaat's online NLP training in New York is curated by SMEs from leading industries in India and the US. This course will help you learn the Natural Language Processing (NLP) concepts using Python's Natural Language Toolkit (NLTK). It will help you improve your skills in machine translation, text mining, language modeling, and more. By working on the projects assigned toward the end of the course, you will gain hands-on experience in various NLP modules. Our main aim is to prepare you for jobs.Read More..

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Key Highlights

20 Hrs Instructor Led Training
40 Hrs Projects and Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
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NLP Training Overview

What are the NLP modules that you will learn in this NLP training in New York?

Some of the significant NLP modules that you will learn in this NLP training in New York include the following:

  • Text classification
  • Vector space models
  • Dialog systems
  • Speech recognition
  • Semantic analysis
  • Sentence structure
  • Sequence tagging
  • Lemmatization
  • POS tagging

Anyone who wants to master the techniques of text mining and Deep Learning architectures can register for this NLP course in New York. In addition, the professionals who must enroll in this online certification are as follows:

  • Program Developers
  • Coding Experts
  • Data Analysts
  • Data Scientists
  • Business Analysts

To apply for this online NLP training in New York, you must have good Python programming skills, and you should know the basics of Deep Learning and Machine Learning.

NLP jobs that are highly in demand in New York include:

  • Software Engineer
  • Research Scientist
  • NLP Engineer
  • Machine Learning Researcher
  • Applied Scientist
  • NLP Data Scientist
  • NLP Research Engineer
  • Process Engineer
  • Machine Learning Engineer

In New York, the average salary of an NLP professional ranges from US$90,197 to about US$148,727 per annum. The salary amount changes as per different job roles. Machine Learning Engineers are the highest-paid NLP professionals.

The leading IT companies that hire NLP professionals in New York include:

  • Facebook
  • Google
  • Etsy
  • United Nations
  • Goldman Sachs
  • Fitch Ratings
  • KPMG
  • IBM
  • Walmart
  • Citadel

NLP is not an easy course. It is rather a complex training that requires expertise in specific technologies. Due to this, certified NLP professionals are usually in great demand in New York, and they are generally paid high salaries. However, if you sign up for this NLP training in New York, then you will easily learn the skills that are required to become an NLP professional.

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Career Transition

65% Average Salary Hike

$1,50,000 Highest Salary

4200+ Career Transitions

500+ Hiring Partners

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*Past record is no guarantee of future job prospects

Course Fees

Self Paced Training

  • Flexible Schedule
  • Lifetime Free Upgrade

$299

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 20 Hrs of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekend (Sat - Sun)

12 Oct 2024 08:00 PM - 11:00 PM
Weekend (Sat - Sun)

19 Oct 2024 08:00 PM - 11:00 PM
Weekend (Sat - Sun)

26 Oct 2024 08:00 PM - 11:00 PM
Weekend (Sat - Sun)

02 Nov 2024 08:00 PM - 11:00 PM
$526 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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NLP Course Syllabus

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Overview of Natural Language Processing and Text Mining

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Introduction to Natural Language Processing (NLP), Introduction to Text Mining, importance and applications of Text Mining, how NPL works with Text Mining, writing, and reading to word files, OS Module, Natural Language Toolkit (NLTK) Environment.

Hands-on Exercise: Learning Natural Language Toolkit and NLTK Corpora, reading and writing .txt files to/from local drive, reading and writing .docx Files to/from local drive.

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Various Tokenizers, Tokenization, Frequency Distribution, Stemming, POS Tagging, Lemmatization, Bigrams, Trigrams, and Ngrams, Lemmatization, Entity Recognition.

Hands-on Exercise: Learning Word Tokenization with Python regular expressions, Sentence Tokenizers, Stopword Removal, Bigrams, Trigrams, Ngrams, Named Entity Recognition, and POS Tagging.

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Overview of Machine Learning, Words, Term Frequency, Count Vectorizer, Inverse Document Frequency, Text Conversion, Confusion Matrix, Naive Bayes Classifier.

Hands-on Exercise: Demonstration of Count Vectorizer, Words, Term Frequency, Inverse Document Frequency, Text Conversion, Text Classification, and Confusion Matrix.

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Language Modeling, Sequence Tagging, Sequence Tasks, Predicting Sequence of Tags, Syntax Trees, Context-Free Grammars, Chunking, Automatic Paraphrasing of Texts, Chinking.

Hands-on Exercise: Demonstration of Syntax Trees, Chunking, Automatic Paraphrasing of Texts, and Chinking.

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Distributional Semantics, Traditional Models, Tools for Sentence and Word Embeddings, an overview of Topic Models.

Hands-on Exercise: Embedding word and sentence.

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Introduction to task-oriented Dialog Systems, Natural Language Understanding, Dialog Manager.

Hands-on Exercise: Design your own Dialog System.

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NLP Project

NLP Certification

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The entire NLP training course content is designed by industry professionals to get the best jobs in the top MNCs.

At the end of the training program, there will be quizzes based on questions asked in the respective certification exams to help you score better marks in the certification exam.

Intellipaat’s course completion certification will be awarded on the completion of project work (on expert review) and upon scoring at least 60% on the quiz. Intellipaat certification is well recognized in the top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

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NLP Training FAQs

Why should I learn natural language processing from Intellipaat?

Intellipaat offers comprehensive training in NLP (Natural Language Processing) training using Python followed by hands-on real-world projects and case studies. As part of the training, you will learn the fundamentals of natural language processing, text classification and processing, natural language toolkit, and sentence structure. Upon successful completion of the training, you will be awarded Intellipaat’s natural language processing certification.

As part of this online course, you will be working on real-time projects that have high relevance in the corporate world, step-by-step assignments, and a curriculum designed by industry experts. This course assists you to fast track your career effortlessly. Upon completion of the online course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 Support, and course material upgrading to the latest version at no extra fees. Hence it is clearly a one-time investment for lifetime benefits.

3 technical 1:1 sessions per month will be allowed.

Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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