Natural Language Processing Masterclass

Natural Language Processing Masterclass

$349.00

Course Overview

Master the art and science of Natural Language Processing and unlock the power of text-based AI applications. This comprehensive course covers everything from basic text processing to advanced NLP techniques used in modern AI systems.

Learn to build chatbots, perform sentiment analysis, extract information from text, and create language models. Work with popular NLP libraries and frameworks to develop real-world applications that understand and generate human language.

What You'll Learn

  • Text preprocessing and tokenization
  • Word embeddings and semantic analysis
  • Sentiment analysis and opinion mining
  • Named Entity Recognition (NER)
  • Text classification and categorization
  • Chatbot development with modern frameworks
  • Language models and text generation
  • Machine translation fundamentals

Course Curriculum

Module 1: Introduction to NLP

NLP fundamentals, applications, and linguistic concepts

Module 2: Text Preprocessing

Tokenization, stemming, lemmatization, and text cleaning

Module 3: Word Embeddings

Word2Vec, GloVe, and modern embedding techniques

Module 4: Sentiment Analysis

Opinion mining, emotion detection, and aspect-based analysis

Module 5: Named Entity Recognition

Entity extraction, relationship extraction, and information retrieval

Module 6: Text Classification

Document classification, topic modeling, and categorization

Module 7: Chatbot Development

Building intelligent conversational agents with modern frameworks

Module 8: Advanced NLP

Language models, text generation, and transformer architectures

Meet Your Instructor

Dr. Emily Rodriguez

NLP Expert & Computational Linguist

Dr. Emily Rodriguez is a leading expert in Natural Language Processing with a PhD in Computational Linguistics. She has developed NLP systems for major tech companies and has contributed to several open-source NLP libraries.

With over 10 years of experience in both industry and academia, she specializes in making complex NLP concepts accessible to learners of all levels. Her research focuses on multilingual NLP and conversational AI.

Course Requirements

Prerequisites:

  • Python programming proficiency
  • Basic understanding of machine learning
  • Familiarity with data structures
  • No prior NLP knowledge required

What's Included:

  • 35 hours of video lectures
  • Python code examples and notebooks
  • Real-world NLP projects
  • Certificate upon completion
  • Lifetime access to materials