Advanced 9 Steps 7h 39 Credits
Google Cloud Application Programming Interfaces are the mechanism to interact with Google Cloud Services programmatically. This quest will give you hands-on practice with a variety of GCP APIs, which you will learn through working with Google’s APIs Explorer, a tool that allows you to browse APIs and run their methods interactively. By learning how to transfer data between Cloud Storage buckets, deploy Compute Engine instances, configure Dataproc clusters and much more, Exploring APIs will show you how powerful APIs are and why they are used almost exclusively by proficient GCP users. Enroll in this quest today.
PrerequisitesThis quest will teach you the basics of GCP APIs, but you will need prior experience with core GCP tools and services, as well as programming experience, preferably in Python or C#. It is recommended that the student have at least earned a Badge by completing the GCP Essentials and/or the Baseline: Infrastructure Quests before beginning.
This lab will teach you about the architecture and basic functioning of Application Programming Interfaces (APIs). This will be supplemented with hands-on practice, where you will configure and run Cloud Storage API methods in Cloud Shell.
In this lab you'll upload an image to Cloud Storage then make a request to the Vision API with APIs Explorer.
In this lab you will use the APIs Explorer tool to create Cloud Storage buckets, upload data to the bucket, and remove content from buckets.
In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the cluster.
Use the APIs Explorer to create a Compute Engine instance, then use Stackdriver to monitor the CPU usage.
In this lab, you will get hands-on practice configuring and deploying an App Engine instance with the APIs Explorer tool.
In this lab, you will get hands-on practice with the Cloud SQL API and its associated methods by making calls through the APIs Explorer tool.
In this lab you will provision Cloud IoT and Pub/Sub services using the APIs explorer. These will be used to create a temperature telemetry steam.