This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.
Offered By
Google CloudAbout this Course
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Learner Career Outcomes
13%
started a new career after completing these courses
21%
got a tangible career benefit from this course
Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 12 hours to complete
English
Subtitles: French, German, Russian, English, Spanish, Japanese
Skills you will gain
- Google Compute Engine
- Google App Engine (GAE)
- Google Cloud Platform
- Cloud Computing
Learner Career Outcomes
13%
started a new career after completing these courses
21%
got a tangible career benefit from this course
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 12 hours to complete
English
Subtitles: French, German, Russian, English, Spanish, Japanese
Offered by
Google Cloud
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
1 hour to complete
Introducing Google Cloud Platform
Google Cloud Platform offers four main kinds of services: Compute, Storage, Big Data, and Machine Learning. This course focuses mostly on the first two, together with Google Virtual Private Cloud (VPC) networking. This module orients learners to the basics of Google Cloud Platform. It traces the evolution of cloud computing and explains what is unique about Google's approach to it. The module introduces the key structural concepts of regions and zones.
1 hour to complete
14 videos (Total 20 min), 2 readings, 3 quizzes
1 hour to complete
Getting Started with Google Cloud Platform
GCP customers use projects to organize the resources they use. They use Google Cloud Identity and Access Management, also called “IAM,” to control who can do what with those resources. They use any of several technologies to connect with GCP. This module covers each of these topics, and it introduces a service called Cloud Launcher that is an easy way to get started with GCP.
1 hour to complete
8 videos (Total 29 min)
1 hour to complete
Virtual Machines in the Cloud
Compute Engine lets you run virtual machines on Google’s global infrastructure. This module covers how Compute Engine works, with a focus on Google virtual networking.
1 hour to complete
5 videos (Total 20 min)
2 hours to complete
Storage in the Cloud
Every application needs to store data. Different applications and workloads require different storage and database solutions. This module describes and differentiates among GCP's core storage options: Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Datastore, and Google Bigtable.
2 hours to complete
8 videos (Total 35 min)
2 hours to complete
Containers in the Cloud
Containers are simple and interoperable, and they enable seamless, fine-grained scaling. Kubernetes is an orchestration layer for containers. Kubernetes Engine is Kubernetes as a service, a scalable managed offering that runs on Google’s infrastructure. You direct the creation of a cluster, and Kubernetes Engine schedules your containers into the cluster and manages them automatically, based on requirements you define. This module explains how Kubernetes Engine works and how it helps deploy applications in containers.
2 hours to complete
5 videos (Total 35 min)
2 hours to complete
Applications in the Cloud
App Engine is a Platform-as-a-Service ("PaaS") offering. The App Engine platform manages the hardware and networking infrastructure required to run your code. App Engine provides built-in services that many web applications need. This module describes how App Engine works.
2 hours to complete
5 videos (Total 14 min)
1 hour to complete
Developing, Deploying and Monitoring in the Cloud
Popular tools for development, deployment, and monitoring just work in GCP. Customers also have options for tools in each of these three areas that are tightly integrated with GCP. This module covers those tools.
1 hour to complete
4 videos (Total 17 min)
1 hour to complete
Big Data and Machine Learning in the Cloud
GCP's big-data and machine learning offerings are intended to help customers get the most out of data. These tools are intended to be simple and practical to embed in your applications. This module describes the available big-data and machine learning services and explains the usefulness of each.
1 hour to complete
8 videos (Total 22 min)
1 hour to complete
Summary and Review
This module reviews the GCP services covered in this course and reminds learners of the differences among them. The module compares GCP compute services, GCP storage services, and important Google VPC networking capabilities.
1 hour to complete
2 videos (Total 5 min)
Reviews
TOP REVIEWS FROM GOOGLE CLOUD FUNDAMENTALS: CORE INFRASTRUCTURE
by KBJan 7, 2019
Though content was very high level! it was informative too. . I would suggest to introduce more hands on sessions then its now and also provide content in simple rather than high level terminology.
by ANMay 9, 2020
Thank you so much for this amazing interactive course. I enjoyed every part for improvement suggestions please consider increasing the lab projects' time a bit so that students can be on less pressure
by OBFeb 4, 2020
This course gives good non-in-depth overview of GCP. You'll learn about most of options and tools GCP offers. Also I really liked that all labs are automated and don't suffer from peer-review issues.
by EHJul 25, 2019
I really think this is a good way to get people that hasn't had interaction with GCP before on track, but it also is of really good use for regular users to discover more capabilities of the platform
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