A Beginner introduction to Natural Language Processing

Learn Natural Language Processing ( NLP ) with ML

3.90 (24 reviews)
Data Science
A Beginner introduction to Natural Language Processing
3.5 hours
Oct 2018
last update
regular price

What you will learn

Will understand almost all concepts in ML/Deep Learning and NLP

Will be able to build basic NLP applications

Will be able to understand how state of the art NLP applications are built and how they work

Will be able to relate why ML/Deep Learning is important to NLP and how ML/Deep Learning is used in NLP

Will be able to extend the ML/Deep Learning techniques used in order to build industry ready NLP applications.

Why take this course?

It seems like you've provided a comprehensive overview of what Natural Language Processing (NLP) is, its applications, the career opportunities, and the potential earnings for NLP professionals. You've also highlighted the importance of this field within AI and its growing role in human-computer interaction and data analytics.

To summarize and add to your information:

  1. Natural Language Processing (NLP) is a field at the intersection of computer science, artificial intelligence, and linguistics. It focuses on the interaction between computers and humans through natural language.

  2. Applications of NLP include sentiment analysis, email filtering, customer service interactions, information retrieval for search engines, machine translation, financial decision-making, voice recognition in virtual assistants, and question answering systems like IBM Watson.

  3. Salaries for NLP Professionals vary by role and experience but are generally quite competitive. As of your mention, the average annual pay for an NLP professional is around $123,798 in the U.S. with roles ranging from data scientists to machine learning engineers and software engineers, with salaries ranging from $57K to $180K per year.

  4. Career Opportunities are abundant in this field, with many leading tech companies actively hiring NLP experts. These include deepmind, OpenAI, Nvidia, Google, Amazon, Microsoft, and many others.

  5. Educational Resources for learning NLP are available, including this course which covers a wide range of topics from introduction to NLP, NLTK toolkit, machine learning basics, word embeddings, sentiment analysis, and neural machine translation, among others.

  6. Udemy Course Offerings provide a structured learning path with hands-on projects and real-world applications. They often come with a 30-day money-back guarantee, allowing learners to try the course risk-free.

  7. Future Prospects in NLP are bright, as the demand for AI that can understand and process human language continues to grow. This includes advancements in conversational AI, personalized content recommendations, and intelligent chatbots, among others.

If you're interested in pursuing a career in NLP or enhancing your current skill set, this course and others like it on Udemy can provide a solid foundation. With the field growing and evolving rapidly, now is a great time to get involved with Natural Language Processing.


October 16, 2018
This course is really amazing. It really helps the beginners to introduce natural language processing. Loved it. Tutor makes this course really awesome. He is experienced and engaging to this course. Worth to see this whole course.
August 17, 2018
Very good course for the beginnings. All theory covered with practical demo. The theory part is good++ but not the best honestly. The practices are the best. Ovarall a very good NLP course for the beginnings. The instructor is very responsible and very helpful. I Recommend the course. Thank you very much @UpDegree



A Beginner introduction to Natural Language Processing - Price chart


A Beginner introduction to Natural Language Processing - Ratings chart

Enrollment distribution

A Beginner introduction to Natural Language Processing - Distribution chart
udemy ID
course created date
course indexed date
course submited by