IT & Tech

Natural Language Processing (NLP).

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Örebro universitet
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Natural Language Processing (NLP) is an advanced Smarter course from Örebro University about how computers process and generate human language. You learn to apply neural networks and deep-learning methods to build systems that understand and produce text. The course connects modern NLP techniques to real applications relevant for working professionals. It is given in English at distance, at 25% pace, with three mandatory half-day meetings at Örebro University.

Duration: 10 weeks
Format: Hybrid
Location: Örebro
Language: English
Level: Advanced

Time commitment: part-time 25% over approx. 10 weeks; distance learning with 3 mandatory half-day meetings in Örebro

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About the course.

This certifies that the participant has gained knowledge of natural language processing and its applications. The participant can use neural networks and deep learning methods to develop systems that understand and generate human language.

This certifies that the participant has gained knowledge of natural language processing and its applications. The participant can use neural networks and deep learning methods to develop systems that understand and generate human language.

What you will learn

What you learn.

  • You can explain the basics of how computers process human language (NLP).
  • You can apply neural networks to language processing problems.
  • You can use deep learning methods to interpret and generate text.
  • You can build simpler systems that understand and generate human language.
  • You can assess which NLP methods suit different applications.
Curriculum

How the course is built.

  1. Introduction to NLP

    How computers process human language and where NLP is used.

  2. Neural networks for language

    Basic models for representing and processing text.

  3. Deep learning for NLP

    Methods for interpreting and generating natural language.

  4. Applications

    Practical NLP systems and how they are evaluated.

Target audience

Who is this for?

For working developers and engineers who want to work with language technology and build systems that understand and generate text. Prerequisites: 180 credits including 15 credits of programming, and English 5/English A.

What "verified" means here

Verified credential.

When you complete the course, Örebro universitet issues your certificate. Your name, the course content and the issue date are encrypted and secured on blockchain, so it cannot be changed, and anyone can check that it is genuine.

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