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Natural Language Processing (NLP)

This course covers deep learning techniques required to design NLP applications and build cutting-edge NLP systems. Such NLP systems can perform various tasks intelligently, such as translating languages, performing sentiment analysis, or carrying out question-answering sessions. The results from NLP systems are more accurate, reliable, with real actionable insights.

Why you should enroll?

  • To enhance your strategic thinking.​

  • To develop skills of building NLP applications using deep learning techniques

  • To learn in an interactive environment where fellows help each other to reach professional goals.

  • To transition into a thriving career as a machine learning engineer or other cutting-edge professions.

  • To learn from top industry experts with hands-on project experience.

What You Will Learn

  • An Overview of Natural Language Processing and Deep Learning techniques.

  • Achieve in-depth knowledge about Language modeling.

  • Gain In-depth understanding of Attention mechanism. 
  • Recurrent Neural Networks (RNN) and their variants including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU).
  • Get Hands-on Practice for Text Classification and Machine Translation.

  • Gain knowledge about Transformer from top industry experts.​

Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks.

Stephen Hawking

Who Will Benefit From It


Students who want to pursue their career as Deep Learning engineer will get a chance to work on projects to solve real-world problems.


Researchers who wish to gain in-depth knowledge of deep learning and its implementation on GPUs in NLP applications.


This program will help working professionals who are interested in building NLP applications using deep learning techniques.


By completing the 9-week fellowship program, you will be able to build NLP applications. This will mark the start of your journey to begin solving real-world problems such as language translation and question answering.

The curriculum for NLP specialization includes:

  • Machine Learning and Deep Learning Program, which consists of 10 workshops which cover topics from the fundamentals of machine learning to the latest advances of deep learning technologies and their applications.

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  • Coding Interview Preparation Program, which not only prepares Fellows for a technical interview, but also helps them become better engineers through training and teaching how to approach technical problems.

  • ​Project-based Program, which offers a professional training opportunity to work on a hands-on project that builds cutting-edge skills in the domain of Fellows’ choice. Fellows benefit from the unique opportunity to work with industry experts in the field.

  • Industry Partner Program. ValleyML partners with AI teams from the leading companies, who give presentations on their companies as well as tech tutorials for the domain and technologies they are working on. Fellows have opportunities to showcase their completed projects to the industry partners, leading to an interview call.