Google Cloud
Natural Language Processing on Google Cloud
Google Cloud

Natural Language Processing on Google Cloud

This course is part of Advanced Machine Learning on Google Cloud Specialization

Taught in English

20,081 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.4

(517 reviews)

|

76%

Advanced level
Designed for those already in the industry
13 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.4

(517 reviews)

|

76%

Advanced level
Designed for those already in the industry
13 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Advanced Machine Learning on Google Cloud Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 7 modules in this course

This module addresses the reasons to learn NLP from Google and provides an overview of the course structure and goals.

What's included

2 videos1 reading

This module introduces the NLP architecture on Google Cloud. It explores the NLP history, the NLP APIs such as the Dialogflow API, and the NLP solutions such as Contact Center AI and Document AI.

What's included

9 videos1 reading1 quiz1 app item

This module explores AutoML and custom training, which are the two options to develop an NLP project with Vertex AI. Additionally, the module introduces an end-to-end NLP workflow and provides a hands-on lab to apply the workflow to solve a task of text classification with AutoML.

What's included

8 videos1 reading1 quiz1 app item

This module describes the process to prepare text data in NLP and introduces the major categories of text representation techniques.

What's included

8 videos1 reading1 quiz1 app item

This module describes different NLP models including ANN, DNN, RNN, LSTM, and GRU. It also introduces the benefits and disadvantages of each model.

What's included

9 videos1 reading1 quiz1 app item

This module introduces the state-of-the-art technologies and models in NLP: encoder-decoder, attention mechanism, transformers, BERT, and large language models.

What's included

8 videos1 reading1 quiz1 app item

This module reviews the topics covered in the course and provides additional resources for further learning.

What's included

1 video

Instructor

Instructor ratings
4.7 (25 ratings)
Google Cloud Training
Google Cloud
1,323 Courses2,537,934 learners

Offered by

Google Cloud

Recommended if you're interested in Machine Learning

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Learner reviews

Showing 3 of 517

4.4

517 reviews

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    64.41%

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    22.24%

  • 3 stars

    7.73%

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  • 1 star

    2.90%

MM
5

Reviewed on Mar 25, 2020

MM
5

Reviewed on Jul 18, 2020

SO
4

Reviewed on Jul 19, 2021

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