Course , Free Course ,

NLP Course

With a greater focus on AI in training the machines to understand, read, write and speak human languages, NLP is gaining momentum and this course helps you develop the skills required to become an NLP Engineer.
Course
Curriculum

What will you learn?

  1. What is NLP
  2. What are NLTK Modules
  3. Noise Removal
  4. Lexicon Normalization
  5. Text Preprocessing
  6. Syntactic Parsing
  7. Entity Extraction
  8. Statistical Features
  9. Python Packages
  10. Word Embedding
  11. Document Embedding
  12. Text to features
  13. Text Classification
  14. Text Matching / Similarity

Requirement

This course is based on python, so it requires an understanding of that.

Description

A warm welcome to Natural Language Processing (NLP) course.

NLP is used in various domains, and we use it in our daily life as well. Did you wonder how Gmail flags some of your messages as Spam or how Alexa understands your language and responds? These are NLP applications. With a greater focus on AI in training the machines to understand, read, write and speak human languages, NLP is gaining momentum.

As per Forbes, by the year 2025, NLP is growing at the rate of 21%, and it will enable the AI market to become more than 60 Billion dollars. As per indeed.com, the average salary of an NLP professional is approximately USD 128K.
Applications using NLP are becoming an integrated part of our life without us even realizing that. Some of the examples are Gmail suggesting to you what to respond to your email or google recommending to you which words to search, performing autocorrection, auto-complete, or Alexa/Siri communicating with you. Many language translation applications and online chatbots responding to your queries or machine voice applications are examples of NLP applications.

This NLP Training will take you through various concepts such as – Noise removal, Tokenization, Lemmatization, Stemming, Syntactic Parsing, Named Entity Recognition (NER), Topic Modeling, Statistical Features, Word Embedding, Document Embedding. We will also learn NLP applications like Sentiment Classification, Spam Detection, Text Summarization, and Machine Translation.
We will be covering NLTK, Spacy, Gensim Scikit-learn python packages in the course.


The course is curated by AI experts with loads of experience in building NLP applications.

By the end of this course, you will get all the necessary knowledge to start your career as an NLP engineer.
So, let’s start, and we will see you in the course.

Who this course is for?

1. College Freshers
2. Anyone who is willing to learn NLP in simple and easy steps

Course Content

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Course Includes

  • 6 Lessons
  • 40 Topics
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