4.4
stars
495 ratings

Google Cloud Training

15,925 already enrolled

Offered By

Google Cloud

About this Course

9,223 recent views

This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length.
• Predict future values of a time-series
• Classify free form text
• Address time-series and text problems with recurrent neural networks
• Choose between RNNs/LSTMs and simpler models
• Train and reuse word embeddings in text problems

You will get hands-on practice building and optimizing your own text classification and sequence models on a variety of public datasets in the labs we’ll work on together.  

Prerequisites: Basic SQL, familiarity with Python and TensorFlow

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Advanced Level

Approx. 13 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Advanced Level

Approx. 13 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.63/5 (21 Ratings)

Google Cloud Training

1,883,020 Learners

1,022 Courses

Offered by

Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

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Syllabus - What you will learn from this course

Content Rating76%(1,541 ratings)

Week

Week 1

11 minutes to complete

Course introduction

11 minutes to complete

1 video (Total 1 min), 1 reading

3 hours to complete

NLP on Google Cloud

3 hours to complete

9 videos (Total 39 min), 1 reading, 2 quizzes

Week

Week 2

3 hours to complete

NLP with Vertex AI

3 hours to complete

8 videos (Total 23 min), 1 reading, 2 quizzes

Week

Week 3

2 hours to complete

Text representatation

2 hours to complete

8 videos (Total 36 min), 1 reading, 2 quizzes

Week

Week 4

3 hours to complete

NLP models

3 hours to complete

9 videos (Total 48 min), 1 reading, 2 quizzes

Reviews

4.4

68 reviews

5 stars
64.24%
4 stars
22.22%
3 stars
7.87%
2 stars
2.82%
1 star
2.82%

TOP REVIEWS FROM NATURAL LANGUAGE PROCESSING ON GOOGLE CLOUD

by AJJun 7, 2021

The lack of synchronization between the videos and labs is extreme in this course, but the lectures are excellent and the subject area covered is very broad.

by MMMar 25, 2020

A Very powerful course

Thanks for all google team

by HKNov 30, 2018

Very informative, very much useful to my ongoing work on NLP.

by SOJul 19, 2021

The course was interesting, however the material needs to be updated. In particular, most of the workshops

View all reviews

Frequently Asked Questions

Can I preview a course before enrolling?
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
What will I get when I enroll?
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
When will I receive my Course Certificate?
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
Why can’t I audit this course?
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Natural Language Processing on Google Cloud

About this Course