Course Highlights

Google Cloud via Coursera
19 hours of effort required
477,693+ already enrolled!
★★★★★ (38,199 Ratings)

This engaging yet challenging course will introduce learners to very important concepts and terminologies that are used for working with Google Cloud Platform (GCP). Learners will be able to learn and compare many of the computing services that are available in Google Cloud Platform. This also includes Google Compute Engine, Google App Engine, Google Kubernetes Engine, Google Cloud SQL, Google Cloud storage and more. Thus with this course, learners will get familiarized with the most important resource and policy management tools.

Syllabus

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.

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.

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.

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.

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.

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.

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.

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Google Cloud Platform Fundamentals: Core Infrastructure