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Developing Applications with Google Cloud

  • Length 3 days
  • Price $2800 inc GST
Course overview
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Why study this course

In this three-day course, students learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem.

The course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications.

Aligns to certification

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What you’ll learn

This course teaches participants the following skills:

  • Use best practices for application development.

  • Choose the appropriate data storage option for application data.

  • Implement federated identity management.

  • Develop loosely coupled application components or microservices.

  • Integrate application components and data sources.

  • Debug, trace, and monitor applications.

  • Perform repeatable deployments with containers and deployment services.

  • Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment.

Google Cloud at DDLS

DDLS is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, DDLS can support you through training wherever you are in your Cloud adoption journey.

Stay ahead of the technology curve

Don’t let your tech outpace the skills of your people

Quality instructors and content

Expert instructors with real world experience and the latest vendor- approved in-depth course content.

Partner-Preferred Supplier

Chosen and awarded by the world’s leading vendors as preferred training partner.

Ahead of the technology curve

No matter your chosen technologies or platforms, we can help you stay one step ahead.

Who is the course for?

Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform.

Course subjects

Module 1: Best Practices for Application Development

  • Code and environment management

  • Design and development of secure, scalable, reliable, loosely coupled application components and microservices

  • Continuous integration and delivery

  • Re-architecting applications for the cloud

Module 2: Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK

  • How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK

  • Lab: Set up Google Client Libraries, Google Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials

Module 3: Overview of Data Storage Options

  • Overview of options to store application data

  • Use cases for Google Cloud Storage, Google Cloud Datastore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner

Module 4: Best Practices for Using Google Cloud Datastore

  • Best practices related to the following:

    • Queries

    • Built-in and composite indexes

    • Inserting and deleting data (batch operations)

    • Transactions

    • Error handling

  • Bulk-loading data into Cloud Datastore by using Google Cloud Dataflow

  • Lab: Store application data in Cloud Datastore

Module 5: Performing Operations on Buckets and Objects

  • Operations that can be performed on buckets and objects

  • Consistency model

  • Error handling

Module 6: Best Practices for Using Cloud Storage

  • Naming buckets for static websites and other uses

  • Naming objects (from an access distribution perspective)

  • Performance considerations

  • Setting up and debugging a CORS configuration on a bucket

  • Lab: Store files in Cloud Storage

Module 7: Handling Authentication and Authorization

  • Cloud Identity and Access Management (IAM) roles and service accounts

  • User authentication by using Firebase Authentication

  • User authentication and authorization by using Cloud Identity-Aware Proxy

  • Lab: Authenticate users by using Firebase Authentication

Module 8: Using Google Cloud Pub/Sub to Integrate Components of Your Application

  • Topics, publishers, and subscribers

  • Pull and push subscriptions

  • Use cases for Cloud Pub/Sub

  • Lab: Develop a backend service to process messages in a message queue

Module 9: Adding Intelligence to Your Application

  • Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API

Module 10: Using Google Cloud Functions for Event-Driven Processing

  • Key concepts such as triggers, background functions, HTTP functions

  • Use cases

  • Developing and deploying functions

  • Logging, error reporting, and monitoring

Module 11: Managing APIs with Google Cloud Endpoints

  • Open API deployment configuration

  • Lab: Deploy an API for your application

Module 12: Deploying an Application by Using Google Cloud Cloud Build, Google Cloud Container Registry, and Google Cloud Deployment Manager

  • Creating and storing container images

  • Repeatable deployments with deployment configuration and templates

  • Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments

Module 13: Execution Environments for Your Application

  • Considerations for choosing an execution environment for your application or service:

    • Google Compute Engine

    • Kubernetes Engine

    • App Engine flexible environment

    • Cloud Functions

    • Cloud Dataflow

  • Lab: Deploying your application on App Engine flexible environment

Module 14: Debugging, Monitoring, and Tuning Performance

  • Application Performance Management Tools.

  • Stackdriver Debugger.

  • Stackdriver Error Reporting.

  • Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting.

  • Stackdriver Logging.

  • Key concepts related to Stackdriver Trace and Stackdriver Monitoring.

  • Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance.


To get the most out of this course, participants should have:

Terms & Conditions

The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

Request Course Information

By submitting an enquiry, you agree to our privacy policy and receiving email and other forms of communication from us. You can opt-out at any time.