Course Overview

The Natural Language Processing course covers concepts like statistical machine translation and neural models, deep semantic similarity models (DSSM), neural knowledge base embedding, deep reinforcement learning techniques, neural models applied in image captioning, and visual question answering with Python’s Natural Language Toolkit.

Key Features

  • Lifetime access to self-paced learning
  • Industry-recognized course completion certificate

Skills Covered

  • Perform text processing
  • Working with NLP Pipeline
  • Create an NLP module
  • Classify cluster for articles
  • Create a basic speech model
  • Convert speech to text


The NLP market size is expected to reach $26.4 billion by 2024, with a growth rate of 21 percent from 2019 to 2024. Chatbots and virtual assistants have effectively used NLP—the increasing use of smart devices and cloud-based solutions will drive this growth.

  • Designation
  • Annual Salary
  • Hiring Companies
  • Annual Salary
    Source: Glassdoor
    Hiring Companies
    Source: Indeed
  • Annual Salary
    Source: Glassdoor
    Hiring Companies
    Source: Indeed
  • Annual Salary
    Source: Glassdoor
    Hiring Companies
    JPMorgan Chase
    Source: Indeed
  • Annual Salary
    Source: Glassdoor
    Hiring Companies
    Wells Fargo
    Procter and Gamble
    Source: Indeed

Training Options

online Bootcamp

$ 799

  • 90 days of flexible access to online classes
  • Lifetime access to high-quality self-paced e-learning content and live class recordings
  • 24x7 learner assistance and support
  • Classes starting from:-
3rd Feb: Weekend Class
Show all classes

Corporate Training

Customized to your team's needs

  • Blended learning delivery model (self-paced e-learning and/or instructor-led options)
  • Course, category, and all-access pricing
  • Enterprise-class learning management system (LMS)
  • Enhanced reporting for individuals and teams
  • 24x7 teaching assistance and support

Course Curriculum


Natural Language Processing course is ideal for anyone who wants to become familiar with this emerging and exciting domain of artificial intelligence (AI), including data scientists, analytics managers, data analysts, data engineers, and data architects.
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Learners are looking to enroll for Natural Language Processing course should have a basic understanding of math, statistics, data science, and machine learning.
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Course Content

  • Section 01 - NLP Overview (Self Learning)

    • Lesson 01: Natural Language Processing - Introduction

      • 1.01 Introduction
    • Lesson 02: Natural Language

      • 2.01 Natural Language
    • Lesson 03: Corpus

      • 3.01 Corpus
    • Lesson 04: Text Analytics

      • 4.01 Text Analytics
    • Lesson 05: Feature Extraction

      • 5.01 Feature Extraction
    • Lesson 06: Machine Learning

      • 6.01 Machine Learning
    • Lesson 07: Python Toolkits

      • 7.01 Python Toolkits
    • Lesson 08: Bagging

      • 8.01 Bagging
    • Lesson 09: Deep Learning

      • 9.01 Deep Learning: Part One
      • 9.02 Deep Learning: Part Two
    • Lesson 10: Demonstrations

      • 10.01 Demo - Setup
      • 10.02 Demo - RNN One: Build Model
      • 10.03 Demo - RNN Two: Analyze Results
      • 10.04 Demo - Clustering and Topic Modeling: Part One
      • 10.05 Demo - Clustering and Topic Modeling: Part Two
      • 10.06 Demo - Sentiment Analysis
      • 10.07 Demo - NLTK
      • 10.08 Demo - sPacy
      • 10.09 Demo - Glove
      • 10.10 Demo - SpamHam
  • Section 02 -NLP (Live Classes)

    • Lesson 1 - Introduction to NLP

      • Introduction to Natural Language Processing
      • Components of NLP
      • Applications of NLP
      • Challenges and scope
      • Data formats
      • Text Processing
      • Assisted Practice: Implement Text Processing Using Stemming and Regular Expression after Noise Removal and Convert It into List of Phrases
      • Tweets Cleanup and Analysis Using Regular Expressions
      • Accessing Practice Lab
    • Lesson 2 - Feature Engineering on text data

      • N-Gram
      • Bag of Words
      • Document Term Matrix
      • TF-IDF
      • Levenshtein Distance
      • Word Embedding(Word2Vec)
      • Doc2vec
      • PCA
      • Word Analogies
      • Topic Modelling
      • Assisted Practice: Word2vec Model Creation
      • Assisted Practice: Word Analogies Demo
      • Assisted Practice: Identify Topics from News Items
      • Build Your Own News Search Engine
    • Lesson 3 - Natural Language Understanding techniques

      • Parts of Speech Tagging
      • Dependency Parsing
      • Constituency Parsing
      • Morphological Parsing
      • Named Entity Recognition
      • Coreference Resolution
      • Word Sense Disambiguation
      • Fuzzy Search
      • Document and Sentence Similarity
      • Document Indexing
      • Sentiment Analysis
      • Assisted Practice: Analyzing the Disease and Instrument Name with the Action Performed
      • Assisted Practice: Analyzing the Sentiments
      • Assisted Practice: Extract City and Person Name from Text
      • Identifying Top Product Feature from User Reviews
    • Lesson 4 - Natural Language Generation

      • Retrieval based model
      • Generative based model
      • AIML
      • Language Modelling
      • Sentence Correction
      • Assisted Practice: Create AIML Patterns for QnA on Mental Wellness
      • Assisted Practice: To Predict the Next Word in a Sentence
      • Create your Own Spell Checker
    • Lesson 5 - NLP Libraries

      • Spacy
      • NLTK
      • Gensim
      • TextBlob
      • StanfordNLP
      • LUIS
      • Assisted Practice: Simplilearn Review Analysis
      • Create your Own NLP Module
    • Lesson 6 - NLP with Machine Learning and Deep Learning

      • Neural Machine Translation
      • Text Classification
      • Text Summarization
      • Document Clustering
      • Attention Mechanism
      • Question Answering Engine
      • Assisted Practice: Target Spam Words and Patterns
      • Assisted Practice: Summarization of News
      • Document Clustering for BBC News
    • Lesson 7 - Speech recognition techniques

      • Basic concepts for voice/sound
      • Reading, loading and processing the voice data
      • Creating speech model
      • Saving model
      • Implementation/use cases
      • Speech libraries
      • Assisted Practice: Translation from Speech to Text
      • Speech to Text: Extract Keywords from Audio Reviews
  • Natural Language Processing

    • Section 03 - Practice Projects

      • Twitter Hate
      • Zomato Rating

Exam & Certification

Natural Language Processing Certificate
  • Who provides the certificate and how long it is valid for?

    Once you successfully complete the Natural Language Processing course as part of Artificial Intelligence Engineer Master’s Program, Simplilearn will provide you with an industry-recognized course completion certificate which will have a lifelong validity.

  • What do I need to do to unlock my Simplilearn certificate?

    You must complete this Natural Language Processing course in order to unlock the Simplilearn certificate.

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts


  • What is Natural Language Processing (NLP)?

    Natural language processing (or text analytics/text mining) applies 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 queries of millions of users. It is a branch of artificial intelligence that has important implications on the ways that computers and humans interact. Natural language processing will help bridge the gap between human communication and digital data.

  • How do I become an NLP Engineer?

    This course will give you a complete overview of Natural Language Processing, enough to prepare you for a lucrative career as a Natural Language Processing Engineer. You will get Simplilearn’s NLP certification that will be a testament to your new skills and on-the-job expertise.

  • How do beginners learn Natural Language Processing?

    Beginners can learn Natural Language Processing through this NLP certification course. This certification course covers concepts like statistical machine translation and neural models, deep semantic similarity models (DSSM), neural knowledge base embedding, deep reinforcement learning techniques, neural models applied in image captioning, and visual question answering with Python’s Natural Language Toolkit, which can help a beginner learn everything about NLP.

  • Who are the instructors and how they are selected?

    All of Simplilearn’s Natural Language Processing trainers are experienced industry experts. Each of them have gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We at Simplilearn also ensure that only those trainers with a high alumni rating are selected as our faculty.

  • What is online classroom training?

    Online classroom training for the Natural Language Processing certification is conducted via live streaming. The classes are conducted by an NLP certified trainer with more than 15 years of work and training experience to ensure that you learn everything about NLP.

  • Is this live training, or will I watch pre-recorded videos?

    Natural Language Processing course is conducted through live streaming. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each session you attend for your future reference. Classes are attended by a global audience to enrich your learning experience.

  • How do I enroll in this Natural Language Processing course?

    You can enroll in this Natural Language Processing course on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • Can I cancel my enrollment? Will I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our refund policy.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

  • What is Global Teaching Assistance?

    All of Simplilearn’s teaching assistants are subject matter experts who will help you learn Natural Language Processing thoroughly and get certified in the first attempt itself. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • Whom should I contact to learn more about this Natural Language Processing course?

    If you want to know more about this NLP certification course, you can contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link in the live chat tab present in all the pages at the bottom right part of the webpage. Our customer service representatives will be able to give you more details.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.