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Natural Language Processing on Google Cloud

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Natural Language Processing on Google Cloud

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

Instructor: Google Cloud Training

23,133 already enrolled

Included with

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7 modules

Gain insight into a topic and learn the fundamentals.

540 reviews

Advanced level

Designed for those already in the industry

Flexible schedule

9 hours to complete

Learn at your own pace

78%

Most learners liked this course

7 modules

Gain insight into a topic and learn the fundamentals.

540 reviews

Advanced level

Designed for those already in the industry

Flexible schedule

9 hours to complete

Learn at your own pace

78%

Most learners liked this course

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

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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

There are 7 modules in this course

This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.

- Recognize the NLP products and the solutions on Google Cloud. - Create an end-to-end NLP workflow by using AutoML with Vertex AI. - Build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow. - Recognize advanced NLP models such as encoder-decoder, attention mechanism, transformers, and BERT. - Understand transfer learning and apply pre-trained models to solve NLP problems. Prerequisites: Basic SQL, familiarity with Python and TensorFlow

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

7 videos1 reading1 assignment

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

7 videos1 reading1 assignment

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 assignment1 app item1 plugin

8 videos Total 36 minutes

Introduction 2 minutes
Tokenization 6 minutes
One-hot encoding and bag-of-words 7 minutes
Word embeddings 4 minutes
Word2vec 9 minutes
Transfer learning and reusable embeddings 3 minutes
Lab introduction: Reusable Embeddings 1 minute
Summary 3 minutes

1 reading Total 10 minutes

Reading list 10 minutes

1 assignment Total 8 minutes

Quiz 8 minutes

1 app item Total 60 minutes

Lab: Reusable Embeddings 60 minutes

1 plugin Total 15 minutes

Accessing and completing labs 15 minutes

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 assignment1 app item

9 videos Total 48 minutes

Introduction 2 minutes
ANN 11 minutes
TensorFlow 6 minutes
DNN 7 minutes
RNN 6 minutes
LSTM 8 minutes
GRU 2 minutes
Lab introduction: Text Classification with Keras 2 minutes
Summary 3 minutes

1 reading Total 10 minutes

Reading list 10 minutes

1 assignment Total 6 minutes

Quiz 6 minutes

1 app item Total 120 minutes

Lab: Text Classification with Keras 120 minutes

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 assignment1 app item

8 videos Total 31 minutes

Introduction 1 minute
Encoder-decoder architecture 3 minutes
Attention mechanism 3 minutes
Transformer 6 minutes
BERT 5 minutes
Large language models 8 minutes
Lab introduction: Text Translation using Encoder-decoder Architecture 0 minutes
Summary 3 minutes

1 reading Total 10 minutes

Reading list 10 minutes

1 assignment Total 6 minutes

Quiz 6 minutes

1 app item Total 60 minutes

Lab: Text Translation using Encoder-decoder Architecture 60 minutes

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

What's included

1 video

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(29 ratings)

Google Cloud Training

Google Cloud

2,113 Courses 4,017,584 learners

Offered by

Google Cloud

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Reviewed on Aug 16, 2019

I like it because it is very relevant to my work. The dialogflow part is a bit weak. I am not sure if it is the product or the course.

Reviewed on Jun 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.

Reviewed on Jul 22, 2019

Though not focused on fundamental concepts, it's a great course to learn to use tensorflow and google cloud platform for sequence modelling.

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Frequently asked questions

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.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

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.

Natural Language Processing on Google Cloud

Natural Language Processing on Google Cloud

Skills you'll gain

Tools you'll learn

Details to know

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

Build your subject-matter expertise

There are 7 modules in this course

Course introduction

What's included

NLP on Google Cloud

What's included

NLP with Vertex AI

What's included

Text representatation

What's included

NLP models

What's included

Advanced NLP models

What's included

Course summary

What's included

Earn a career certificate

Instructor

Offered by

Explore more from Machine Learning

Introduction to AI and Machine Learning on Google Cloud

Entity and Sentiment Analysis with the Natural Language API

Cloud Natural Language API: Qwik Start

Harnessing LLMs & Text-Embeddings API with Google Vertex AI

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Learner reviews

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

Can I preview a course before enrolling?

When will I have access to the lectures and assignments?

What will I get when I enroll?

More questions