Baseline: Deploy & Develop
Introductory 12 passaggi 7 ore 17 crediti
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.
Prerequisiti: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.
Questo lab pratico illustra come utilizzare la riga di comando di Cloud Platform per creare una funzione Cloud ed eseguirne il deployment. Guarda il breve video Connect & Extend GCP Services with Google Cloud Functions.
Questo lab pratico illustra come utilizzare la console di Cloud Platform per creare una funzione Cloud ed eseguirne il deployment. Guarda il breve video Connect & Extend GCP Services with Google Cloud Functions.
In questo lab, utilizzeremo l'app Google Cloud Video Intelligence per estrarre metadati da un file video di esempio. Guarda il breve 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 questo lab apprenderai le nozioni fondamentali dell'Assistente Google creando un'applicazione per generare citazioni con Actions e Dialogflow.