May 1, 2024
3 minute read
Google Cloud, or GCP, is a suite of cloud computing services that run on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. Accordingly, GCP is one of the most comprehensive and widely adopted cloud platforms. It offers a wide range of services, including compute, storage, networking, databases, machine learning, and artificial intelligence.
Why Learn GCP?
There are many reasons to learn GCP. First, GCP is a rapidly growing platform. In 2021, GCP's revenue grew by 53%, making it one of the fastest-growing cloud platforms in the world. This growth is being driven by the increasing demand for cloud computing services, as more and more businesses move their operations to the cloud.
Second, GCP is a highly reliable platform. Google has a long history of providing reliable services, and GCP is no exception. GCP's infrastructure is designed to be redundant and fault-tolerant, so that your applications and data will be always available.
Third, GCP is a cost-effective platform. GCP's pricing is competitive with other cloud platforms, and it offers a variety of pricing options to fit your budget. You can also save money by using GCP's free tier, which gives you access to a limited amount of resources for free.
nhohq7|
Find a path to becoming a gcloud. Learn more at:
OpenCourser.com/topic/nhohq7/gclou
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
gcloud.
Guide to using GCP for developers. It covers a wide range of topics, such as compute, storage, networking, and databases. The book is well-written and easy to follow, and it valuable resource for developers who want to use GCP to build and deploy applications.
Provides best practices for using GCP. It covers a wide range of topics, such as security, performance, and cost optimization. The book is well-written and easy to follow, and it valuable resource for anyone who wants to use GCP effectively.
Provides a collection of recipes for using GCP. It covers a wide range of topics, such as compute, storage, networking, and databases. The book is well-written and easy to follow, and it valuable resource for anyone who wants to use GCP to solve real-world problems.
Guide to using GCP for education. It covers a wide range of topics, such as student collaboration, data management, and personalized learning. The book is well-written and easy to follow, and it valuable resource for educators who want to use GCP to improve student learning.
Guide to using GCP for machine learning. It covers a wide range of topics, such as data preparation, model training, and deployment. The book is well-written and easy to follow, and it valuable resource for machine learning engineers who want to use GCP to develop and deploy machine learning models.
Guide to using GCP for financial services. It covers a wide range of topics, such as data management, risk management, and compliance. The book is well-written and easy to follow, and it valuable resource for financial professionals who want to use GCP to improve their operations.
Beginner's guide to using GCP. It covers the basics of GCP, such as creating your account, setting up your project, and using its various services. The book is well-written and easy to follow, and it valuable resource for anyone who is new to GCP.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/nhohq7/gclou
Save
