Course Description

  • Why should you take this Natural Language Processing (NLP) course?

    Natural language processing 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 the queries of millions of users. It is speculated that by 2025, NLP is going to help the AI market to expand more than $60 Billion (Source: Forbes). According to, the annual average salary of an NLP professional is $128,857.

  • What are the objectives of this course?

    This course is designed to familiarize you with natural language processing using both machine and deep learning methods. It introduces you to the fundamentals of natural language processing using the most popular library, Python’s Natural Language Toolkit (NLTK). The course will teach you about statistical machine translation, deep semantic similarity models (DSSM) and their applications, deep reinforcement learning techniques applied in NLP, and vision-language multimodal intelligence.

  • What skills will you learn from this Natural Language Processing training course?

    After completing this NLP training in Python, you will be able to:

    • Apply deep learning models to solve machine translation and conversation problems
    • Implement deep structured semantic models (DSSM) to retrieve information
    • Understand deep reinforcement learning techniques applied in NLP
    • Use neural models applied in Image captioning and visual question answering

  • Who should take this online course on NLP?

    The course is ideal for anyone who wants to become familiar with this emerging and exciting domain of AI, including:

    • Data scientists
    • Analytics managers 
    • Data analysts
    • Data engineers
    • Data architects

  • What are the prerequisites for Simplilearn's Natural Language Processing course?

    Learners who attend this course should have a basic understanding of:

    • Math and statistics
    • Data science  
    • Machine learning

Course Preview

    • Lesson 1 Working with Text Corpus

      • 1.1 The Course Overview
      • 1.2 Access and Use the Built-in Corpora of NLTK
      • 1.3 Loading a Corpus
      • 1.4 An Example of Conditional Frequency Distribution
      • 1.5 An Example of Lexical Resource
    • Lesson 2 Processing Raw Text with NLTK

      • 2.1 Working with an NLP Pipeline
      • 2.2 Implementing Tokenization
      • 2.3 Regular Expressions
      • 2.4 Regular Expressions Used in Tokenization
    • Lesson 3 A Practical Real World Example of Text Classification

      • 3.1 Naive Bayes Text Classification
      • 3.2 Age Prediction Application
      • 3.3 Document Classifier Application
    • Lesson 4 Finding Useful Information from Piles of Text

      • 4.1 Hierarchy of Ideas or Chunking
      • 4.2 Chunking in Python NLTK
      • 4.3 Chinking Non Chunk Patterns in NLTK
    • Lesson 5 Developing a Speech to Text Application Using Python

      • 5.1 Python Speech Recognition Module
      • 5.2 Speech to Text with Recurrent Neural Networks
      • 5.3 Speech to Text with Convolutional Neural Networks Part One
      • 5.4 Speech to Text with Convolutional Neural Networks Part Two
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Exam & Certification

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

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


    • 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 enroll in this online training?

      You can enroll in this training 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.

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