What are best practices for implementing machine learning on Google Cloud? What is Vertex AI and how can you use the platform to quickly build, train, and deploy AutoML machine learning models without writing a single line of code? What is machine learning, and what kinds of problems can it solve?
How Google does Machine Learning
About this Course
What you will learn
Describe Vertex AI Platform and how it's used to quickly build, train,and deploy AutoML machine learning models without writing a single line of code
Describe best practices for implementing machine learning on Google Cloud
Leverage Google Cloud Platform tools and environment to do ML
Articulate Responsible AI best practices
Skills you will gain
- Application Programming Interfaces (API)
- Inclusive ML
- Machine Learning
- Google Cloud Platform
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Syllabus - What you will learn from this course
Introduction to Course and Series
This module introduces the course series and the Google experts who will be teaching it.
What It Means to be AI-First
In this module, you explore building a data strategy around machine learning.
How Google Does ML
This module shares the organizational know-how Google has acquired over the years.
Machine Learning Development with Vertex AI
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.
Machine Learning Development with Vertex Notebooks
This module explores both managed notebooks and user-managed notebooks for machine learning development in Vertex AI.
Best Practices for Implementing Machine Learning on Vertex AI
This module reviews best practices for a number of different machine learning processes in Vertex AI.
Responsible AI Development
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.
This module is a summary of the How Google Does Machine Learning course.
- 5 stars68.97%
- 4 stars23.72%
- 3 stars5.26%
- 2 stars1.13%
- 1 star0.91%
TOP REVIEWS FROM HOW GOOGLE DOES MACHINE LEARNING
Great to know how to do machine learning in scale and to know the common pitfalls people may fall into while doing ML. Provides great hands-on training on GCP and get to know various API's GCP offers.
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 :)
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 learning
This is a good introductory course on how actually Machine Learning is being developed in Companies like Google. It covers the basic aspects of how ML is done using Cloud Platform using Cloud APIs.
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Last Updated: September 1, 2015
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