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Natural Language Processing
  • Level Professional
  • Course by DeepLearning.AI
  • Offered by

About

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. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

Auto Summary

Unlock the potential of Natural Language Processing (NLP) in the Data Science & AI domain with this Coursera specialization. Taught by AI experts Younes Bensouda Mourri from Stanford and Łukasz Kaiser from Google Brain, the course covers building models for question-answering, sentiment analysis, translation, and chatbots. Ideal for professionals, it offers essential insights into cutting-edge NLP applications, preparing you for an AI-driven future. Subscriptions start at the Starter level.

Younes Bensouda Mourri
Instructors

Younes Bensouda Mourri

Łukasz Kaiser
Instructors

Łukasz Kaiser