Google Cloud
Machine Learning on Google Cloud Specialization

Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.

Google Cloud

Machine Learning on Google Cloud Specialization

Learn machine learning with Google Cloud. Real-world experimentation with end-to-end ML

94,572 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.6

(8,517 reviews)

Intermediate level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(8,517 reviews)

Intermediate level

Recommended experience

2 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Use Vertex AI AutoML and BigQuery ML to build, train, and deploy ML models

  • Implement machine learning models using Keras and TensorFlow 2.x

  • Implement machine learning in the enterprise best practices

  • Describe how to perform exploratory data analysis and improve data quality

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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

Placeholder

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Google Cloud
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 5 course series

How Google does Machine Learning

Course 111 hours4.6 (7,263 ratings)

What you'll learn

  • Describe Vertex AI Platform and how it's used to quickly build, train, and deploy AutoML machine learning models without writing any code

  • Describe best practices for implementing machine learning on Google Cloud

  • Leverage Google Cloud tools and environment to do ML

  • Articulate Responsible AI best practices

Launching into Machine Learning

Course 214 hours4.6 (4,302 ratings)

What you'll learn

  • Describe how to improve data quality and perform exploratory data analysis

  • Build and train AutoML Models using Vertex AI and BigQuery ML

  • Optimize and evaluate models using loss functions and performance metrics

  • Create repeatable and scalable training, evaluation, and test datasets

Skills you'll gain

Category: Inclusive ML
Category: Bigquery
Category: Application Programming Interfaces (API)
Category: Machine Learning
Category: Google Cloud Platform

TensorFlow on Google Cloud

Course 313 hours4.4 (2,773 ratings)

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

Category: Tensorflow
Category: Machine Learning
Category: Cloud Computing

Feature Engineering

Course 48 hours4.5 (1,768 ratings)

What you'll learn

  • Describe Vertex AI Feature Store and compare the key required aspects of a good feature.

  • Perform feature engineering using BigQuery ML, Keras, and TensorFlow.

  • Discuss how to preprocess and explore features with Dataflow and Dataprep.

  • Use tf.Transform.

Skills you'll gain

Category: Tensorflow
Category: Python Programming
Category: Machine Learning
Category: keras
Category: Build Input Data Pipeline

Machine Learning in the Enterprise

Course 519 hours4.6 (1,472 ratings)

What you'll learn

  • Describe data management, governance, and preprocessing options

  • Identify when to use Vertex AutoML, BigQuery ML, and custom training

  • Implement Vertex Vizier Hyperparameter Tuning

  • Explain how to create batch and online predictions, setup model monitoring, and create pipelines using Vertex AI

Skills you'll gain

Category: Tensorflow
Category: Bigquery
Category: Machine Learning
Category: Data Cleansing

Instructor

Google Cloud Training
Google Cloud
1,664 Courses2,750,269 learners

Offered by

Google Cloud

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Machine Learning? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

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

Upskill your employees to excel in the digital economy

Frequently asked questions