About the course

Description:

Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and human language. It involves the ability of a computer system to understand, interpret, and generate human language in a valuable and meaningful way. This course provides an in-depth understanding of the core concepts, algorithms, and techniques used in NLP, along with practical hands-on experience for building NLP applications.

Key Highlights:

• Learn the fundamentals of NLP
• Understand advanced NLP topics like sentiment analysis, named entity recognition, and language generation
• Build real-world NLP applications using popular frameworks and libraries
• Get hands-on experience through coding exercises and projects

What you will learn:

• Learning Outcome 1
  Develop a solid foundation in NLP and understand its applications in the real world.
• Learning Outcome 2
  Learn various NLP techniques for processing, analyzing, and understanding human language.
• Learning Outcome 3
  Explore advanced NLP topics and algorithms for sentiment analysis, named entity recognition, and more.
• Learning Outcome 4
  Build practical NLP applications using popular frameworks and libraries like NLTK and spaCy.
• Learning Outcome 5
  Gain hands-on experience in NLP through coding exercises and real-world projects.