Baseline: Deploy & Develop
Introductory 12 Steps 7 hours 17 Credits
In this introductory-level quest, you will learn the fundamentals of developing and deploying applications on the Google Cloud Platform. You will get hands-on experience with the Google App Engine framework by launching applications written in languages like Python, Ruby, and Java (just to name a few). You will see first-hand how straightforward and powerful GCP application frameworks are, and how easily they integrate with GCP database, data-loss prevention, and security services.
Prerequisites:This Quest builds on a basic understanding of the Google Cloud Platform, the Console and its Services. It is recommended that the student have earned a Badge by completing the hands-on labs in the GCP Essentials Quest before beginning.
In this hands-on lab you will learn how to perform basic tasks in Cloud Storage using the gsutil command-line tool. For a short preview, watch Cloud SDK - Essential Command-Line Tools for Google Cloud Platform.
In this lab you will create a local Git repository that contains files for a sample App Engine application, add a GCP repository as a remote, and push the contents of the local repository.
This hands-on lab shows you how to create Compute Engine instances running Container-Optimized OS. Watch the short video Container-Optimized OS - Google's Solution for Containerized Workloads.
This hands-on lab will show you how to store and query data in Google Cloud Datastore using the Google Cloud Platform.
Create a Google Cloud SQL MySQL instance and perform SQL operations using Google Cloud Platform Console and mysql client. Watch this short video, Manage PostgreSQL and MySQL Databases Easily with Cloud SQL.
Create a Google Cloud SQL PostgreSQL instance. Perform SQL operations using the GCP Console and the psql client.
In this lab you will set up the Data Loss Prevention API and and use the API to inspect a string of data for sensitive information.
The Data Loss Prevention API provides programmatic access to a powerful detection engine for privacy-sensitive data. In this lab, you will learn how to use this API to inspect a string of data for sensitive information.
This hands-on lab shows you how to create and deploy a Cloud Function using the Cloud Platform Command Line. Watch the short video Connect & Extend GCP Services with Google Cloud Functions.
This hands-on lab shows you how to create and deploy a Cloud Function using the Cloud Platform Console. Watch the short video Connect & Extend GCP Services with Google Cloud Functions.
In this lab use the Google Cloud Video intelligence app to extract metadata from a sample video file. Watch the short video Google Cloud Video Intelligence - Search every moment of every video in your catalog.
The Cloud Security Scanner identifies security vulnerabilities in your Google App Engine web applications.
In this lab you will learn the fundamentals of Google Assistant by building a quote generator application with Actions and Dialogflow.