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June 10, 2026

Natural Language Processing (NLP)

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Natural Language Processing enables computers to understand, interpret, and generate human language. This course covers text processing, language modeling, sentiment analysis, chatbots, machine translation, and modern NLP applications.

Students will work with real-world datasets and develop practical NLP applications using Python libraries and AI frameworks.

What Will I Learn?

  • Text processing
  • Language modeling
  • Sentiment analysis
  • Chatbot development
  • Text classification
  • NLP project deployment

Course Content

NLP Foundations

  • Introduction to NLP
  • Text Processing
  • Tokenization
  • Stop Words

Language Understanding

NLP Applications

About the instructors

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6 Courses

0 students

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36 Courses

0 students

6,000.00
Durations: 22 hours
Lectures: 12
Students: Max 0
Level: All Levels
Language:
Certificate:

Material Includes

  • NLP datasets
  • Project files
  • Python notebooks
  • Video tutorials
  • Exercises
  • Research materials

Requirements

  • Python knowledge
  • Basic machine learning understanding

Audience

  • AI developers
  • Data scientists
  • Researchers
  • Students