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Natural Language Processing (NLP)

Natural Language Processing (NLP) is a vital skill in the intersection of artificial intelligence and linguistics, enabling machines to understand, interpret, and generate human language. In today's information-driven world, this skill is increasingly important as organizations strive to extract insights from vast amounts of unstructured text data. Organizations hire candidates who excel in NLP to develop intelligent systems that can analyze customer feedback, automate customer service, personalize content, and much more. With applications ranging from sentiment analysis to chatbot development, NLP is a key driver of innovation and efficiency in various industries, making it a highly sought-after skill in the modern job market.

Assessment Details
US $15

Performance Analysis report

40 minutes
40 MCQ

Certificate of Specialization

Credential of Readiness 

Test Syllabus

The Natural Language Processing (NLP) Skill Test ensures that candidates are equipped to contribute effectively to the development of intelligent systems capable of understanding, interpreting, and generating human language, making them valuable assets in organizations seeking to harness the power of artificial intelligence.


Topics covered in the test:


  • Introduction to NLP and Linguistic Resources

  • Regular Expressions, Text Normalization, Edit Distance

  • Syntactic and Semantic Analysis

  • Word Sense Disambiguation and Discourse Processing

  • Applications of Word Sense Disambiguation

  • Parts of Speech Tagging and Information Extraction

  • Natural Language Processing Inception

  • NLP Information Retrieval

  • Natural Language Processing and Python

Related Roles

Natural Language Processing (NLP) is a critical skill in the field of artificial intelligence, enabling machines to understand, interpret, and generate human language. Professionals in these roles use NLP to create intelligent systems that can analyze text data, automate customer service, personalize content, and much more. 


Internship Roles:


  • NLP Intern

  • AI Research Intern

  • Machine Learning Intern

  • Data Science Intern

  • AI Software Engineering Intern


Full-time Roles:


  • NLP Engineer

  • AI Research Scientist

  • Machine Learning Engineer

  • Data Scientist

  • AI Software Engineer

  • AI Consultant

  • AI Product Manager

  • AI Architect

  • AI Analyst

  • AI Solutions Developer

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