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  1. Home
  2. Learning Paths

Natural Language Processing Learning Path

Natural Language Processing is a Specialization designed by Coursera. It consists of four courses and can be completed in four months with 8 hours of learning content .

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Description

Natural Language Processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence that uses algorithms to interpret and manipulate human language.

This technology is one of the most broadly applied areas of machine learning and is critical in effectively analyzing massive quantities of unstructured, text-heavy data. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio.

By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future.

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Free Learning Paths by Career Track

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Included Courses

Coursera
DeepLearning.AI
Free
1. Natural Language Processing with Classification and Vector Spaces

35 hours

Intermediate

92,447
C Algorithms Classification Data Analysis Data Visualization Feature Engineering
Coursera
DeepLearning.AI
Free
2. Natural Language Processing with Probabilistic Models

32 hours

Intermediate

39,891
C Algorithms Backpropagation Data Cleaning Data Modeling Natural Language Processing
Coursera
DeepLearning.AI
Free
3. Natural Language Processing with Sequence Models

25 hours

Intermediate

34,689
C Kaggle Applied Mathematics Data Analysis Data Modeling Data Processing Data Sets
Coursera
DeepLearning.AI
Free
4. Natural Language Processing with Attention Models

37 hours

Intermediate

33,936
C Artificial Intelligence Data Modeling Natural Language Processing Neural Networks
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