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 currently available only to learners who have paid or received financial aid, when available.

Build, Train and Deploy ML Models with Keras on Google Cloud

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Build, Train and Deploy ML Models with Keras on Google Cloud

This course is part of multiple programs.

Instructor: Google Cloud Training

55,696 already enrolled

Included with

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6 modules

Gain insight into a topic and learn the fundamentals.

2,811 reviews

Intermediate level

Some related experience required

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

88%

Most learners liked this course

6 modules

Gain insight into a topic and learn the fundamentals.

2,811 reviews

Intermediate level

Some related experience required

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

88%

Most learners liked this course

What you'll learn

Design and build a TensorFlow input data pipeline.
Use the tf.data library to manipulate data in large datasets.
Use the Keras Sequential and Functional APIs for simple and advanced model creation.
Train, deploy, and productionalize ML models at scale with Vertex AI.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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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 6 modules in this course

This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.

This module provides an overview of the course and its objectives.

What's included

1 video

This module introduces the TensorFlow framework and previews its main components as well as the overall API hierarchy.

What's included

4 videos1 reading1 assignment

Data is the a crucial component of a machine learning model. Collecting the right data is not enough. You also need to make sure you put the right processes in place to clean, analyze and transform the data, as needed, so that the model can take the most signal of it as possible. In this module we discuss training on large datasets with tf.data, working with in-memory files, and how to get the data ready for training. Then we discuss embeddings, and end with an overview of scaling data with tf.keras preprocessing layers.

What's included

9 videos1 reading1 assignment2 app items1 plugin

9 videosTotal 36 minutes

Introduction0 minutes
An ML recap3 minutes
Training on large datasets with tf.data API4 minutes
Working in-memory and with files4 minutes
Getting the data ready for model training6 minutes
Embeddings9 minutes
Lab intro: TensorFlow Dataset API0 minutes
Scaling data processing with tf.data and Keras preprocessing layers10 minutes
Lab intro: Classifying structured data using Keras preprocessing layers1 minute

1 readingTotal 10 minutes

Resources: Design and Build a TensorFlow Input Data Pipeline10 minutes

1 assignmentTotal 16 minutes

Design and Build Input Data Pipeline16 minutes

2 app itemsTotal 240 minutes

Lab: TensorFlow Dataset API120 minutes
Lab: Classifying structured data using Keras preprocessing layers120 minutes

1 pluginTotal 15 minutes

Accessing and completing labs15 minutes

In this module, we discuss activation functions and how they are needed to allow deep neural networks to capture nonlinearities of the data. We then provide an overview of Deep Neural Networks using the Keras Sequential and Functional APIs. Next we describe model subclassing, which offers greater flexibility in model building. The module ends with a lesson on regularization.

What's included

10 videos1 reading1 assignment2 app items

10 videosTotal 45 minutes

Introduction1 minute
Activation functions9 minutes
Training neural networks with TensorFlow 2 and the Keras Sequential API8 minutes
Serving models in the cloud3 minutes
Lab intro: Introducing the Keras Sequential API on Vertex AI Platform1 minute
Training neural networks with TensorFlow 2 and the Keras Functional API10 minutes
Lab intro: Build a DNN using the Keras Functional API on Vertex AI Platform0 minutes
Model subclassing4 minutes
Regularization basics5 minutes
How can we measure model complexity: L1 vs. L2 Regularization 5 minutes

1 readingTotal 10 minutes

Resources: Building Neural Networks with the TensorFlow and Keras API10 minutes

1 assignmentTotal 18 minutes

Building Neural Networks in TensorFlow with Keras API18 minutes

2 app itemsTotal 180 minutes

Lab: Introducing the Keras Sequential API on Vertex AI Platform60 minutes
Lab: Build a DNN using the Keras Functional API on Vertex AI Platform120 minutes

In this module, we describe how to train TensorFlow models at scale using Vertex AI.

What's included

3 videos1 reading1 assignment1 app item

3 videosTotal 7 minutes

Introduction0 minutes
Training at scale with Vertex AI6 minutes
Lab intro: Training at scale with the Vertex AI Training Service1 minute

1 readingTotal 10 minutes

Resources: Training at Scale with Vertex AI10 minutes

1 assignmentTotal 10 minutes

Training at Scale with Vertex AI10 minutes

1 app itemTotal 120 minutes

Lab: Training at scale with the Vertex AI Training Service120 minutes

This module is a summary of the Build, Train, and Deploy ML Models with Keras on Google Cloud course.

What's included

4 readings

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Instructor

Instructor ratings

(197 ratings)

Google Cloud Training

Google Cloud

2,207 Courses4,320,930 learners

Offered by

Google Cloud

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5 stars
62%
4 stars
24.72%
3 stars
8.82%
2 stars
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Reviewed on Mar 8, 2020

The course covers quite a few concepts -- TF basics, TF estimator, Google Cloud ML. It would be easier if the material is split into TF and Google Cloud lessons.

Reviewed on May 17, 2020

I feel this course very valuable because it taught how to create an automated service in cloud with very huge data and working with distributed systems in production environment with minimal time.

Reviewed on Jun 2, 2020

Wonderful course and specilization to deep dive into ML. Take your time and work on this course with all your heart to get in to the heart of ML

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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.

Build, Train and Deploy ML Models with Keras on Google Cloud

Build, Train and Deploy ML Models with Keras on Google Cloud

What you'll learn

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 6 modules in this course

Introduction to the Course

What's included

Introduction to the TensorFlow Ecosystem

What's included

Design and Build an Input Data Pipeline

What's included

Building Neural Networks with the TensorFlow and Keras API

What's included

Training at Scale with Vertex AI

What's included

Summary

What's included

Earn a career certificate

Instructor

Offered by

Explore more from Machine Learning

Building, Evaluating, and Operationalizing ML Models

ML Model Development and Tracking: Hands-on Guide

CNNs with TensorFlow: Basics of Machine Learning

Deploy ML Models to Production

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Learner reviews

Save on skills that make you shine with 40% off 3 months of Coursera Plus

Drive your business forward and empower your teams

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?

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