This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
How Google does Machine Learning
How Google does Machine Learning
This course is part of multiple programs.
Instructor: Google Cloud Training
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Gain insight into a topic and learn the fundamentals.
4.6
(7,279 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 11 hours
Learn at your own pace
92%
Most learners liked this course
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
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
6 assignments
Taught in English
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There are 8 modules in this course
This module introduces the course series and the Google experts who will be teaching it.
What's included
2 videos
In this module, you explore building a data strategy around machine learning.
What's included
7 videos2 readings1 assignment
This module shares the organizational know-how Google has acquired over the years.
What's included
7 videos1 reading1 assignment
All machine learning starts with some type of goal - whether it be a business use case, academic use case, or goal you are trying to solve. This module reviews the process of determining whether the model is ready for production the “proof of concept” or “experimentation” phase.
What's included
9 videos1 reading1 assignment2 app items
This module explores both managed notebooks and user-managed notebooks for machine learning development in Vertex AI.
What's included
2 videos1 reading1 assignment
This module reviews best practices for a number of different machine learning processes in Vertex AI.
What's included
4 videos1 assignment
This module discusses why machine learning systems aren’t fair by default and some of the things you have to keep in mind as you infuse ML into your products.
What's included
7 videos1 reading1 assignment
This module is a summary of the How Google Does Machine Learning course.
What's included
4 readings
Instructor
Instructor ratings
4.6 (929 ratings)Offered by
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Learner reviews
4.6
7,279 reviews
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Showing 3 of 7279
GM
4
Reviewed on Jan 14, 2019
An excellent overview providing a birds-eye view of where ML fits in the larger scheme of a software project and how it evolves. It also provides a good introduction to leveraging Google's ML APIs.
RK
5
Reviewed on Apr 17, 2020
Machine Learning API's were really cool stuff to learn and see the examples running.Though a little more emphasis is needed to understand the codes used in the final lab session :)
RS
5
Reviewed on Dec 16, 2018
A great learning experience and importantly those practical classes were very helpful.I would like to thank Google and Coursera for collaborating and bringing out this amazing course.
Recommended if you're interested in Data Science
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