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
Access provided by Google
133,060 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(7,278 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 8 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
5 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is available as part of
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- Develop job-relevant skills with hands-on projects
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There are 6 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
Instructor
Instructor ratings
4.6 (929 ratings)Offered by
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Learner reviews
4.6
7,278 reviews
- 5 stars
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5.25%
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Showing 3 of 7278
ZJ
5
Reviewed on Nov 1, 2018
Interesting and engaging content of ML. The course is structured well and emphasizes important aspects of ML which tend to be overlooked by many. Just hope some exercises could be further refined.
SK
5
Reviewed on Jan 10, 2020
The course was fantastic, people might complain about the "labs" being easy but there was a lot to explore and learn and get the right feel to being the journey of GCP, THANK YOU SO MUCH!
AG
5
Reviewed on Dec 27, 2019
I actually learnt lot of good stuff regarding GCP and ML on cloud. This is the beginner course for anyone who wants to start off their career in GCP and ML. Thanks coursera and GCP for this course
Recommended if you're interested in Data Science
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