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.
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How Google does Machine Learning
This course is part of multiple programs.
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Instructor: Google Cloud Training
Sponsored by Coursera Learning Team
132,803 already enrolled
(7,270 reviews)
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
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6 assignments
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Build your subject-matter expertise
- 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
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Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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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
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Learner reviews
7,270 reviews
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Reviewed on Jan 11, 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!
Reviewed on Mar 31, 2019
It was a good introduction to how Google thinks about Machine Learning. Nice introduction to the tools (Google Cloud Platform, Big Query, Python Notebooks, and Google's pre-built APIs).
Reviewed on Mar 21, 2019
Really easy with all instruction.I didnt feel bored at any point gave me the basic idea of what is machine learning and how easy google made API's and cloud platform for machine learningThank you
Recommended if you're interested in Data Science
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