load-gif

Natural Language Processing

Master the fundamentals of Natural Language Processing (NLP) and learn how to process, analyze, and generate human language using Python. This course covers key NLP concepts, including tokenization, text preprocessing, sentiment analysis, named entity recognition (NER), machine learning models for NLP, and deep learning techniques like transformers.

Satyajit Pattnaik

Expert in Generative AI, ML, NLP & Data Engineering

Here’s what you will learn?

  • Understand NLP Fundamentals
  • Perform Text Processing & Feature Engineering
  • Work with Large Language Models (LLMs)
  • Understand Ethical Considerations in NLP

This Course Includes

  • Recorded Lessons:  44
  • Recorded Hours:  8hr 53min
  • Certificate of completion
  • Access on Mobile

Course Description

The meaning of NLP is Natural Language Processing (NLP) which is a fascinating and rapidly evolving field that intersects computer science, artificial intelligence, and linguistics. NLP focuses on the interaction between computers and human language, enabling machines to understand, interpret, and generate human language in a way that is both meaningful and useful. With the increasing volume of text data generated every day, from social media posts to research articles, NLP has become an essential tool for extracting valuable insights and automating various tasks.

Course Content

44 Lessons | 8hr 53min

About the instructor
img
Satyajit Pattnaik

Expert in Generative AI, ML, NLP & Data Engineering

Satyajit Pattnaik has 13+ years of experience in AI, Data Analytics, and Data Science across industries such as telecom, cybersecurity, insurance, and e-commerce. With over a decade of training and teaching experience, he has conducted numerous sessions on Data Science, ML, and AI. He has also been a keynote speaker at international conferences and universities across the APAC region.

Frequently Asked Questions

This course is ideal for beginners to intermediate learners who are interested in understanding how machines can understand, interpret, and generate human language. It’s suitable for those with backgrounds in computer science, data science, and AI.

Introduction to NLP and its applications, Neural Networks, NLP Basics and many more.

The course will consist of a mix of lectures, quizzes. We will work on practical problems, allowing you to build real-world NLP applications.

The course is typically structured to be completed over a few weeks, with flexible learning hours. The exact duration depends on your pace.

Basic knowledge of machine learning concepts such as supervised and unsupervised learning can be helpful. However, the course will cover the necessary machine learning concepts as they relate to NLP.
Natural Language Processing
(4.6)
8hr 53min
₹999 ₹1499
Add To Cart

Subscribe to Data Science & AI - from Python to GenAI Pack

Get this course along with 12+ courses.