Developing Applications with Google Cloud Platform

Duration : 3 Days (24 Hours)

Developing Applications with Google Cloud Platform Course Overview:

In this course, application developers will learn how to design, develop, and deploy cloud-native applications that seamlessly integrate managed services from the Google Cloud Platform (GCP). Through a combination of presentations, demos, and hands-on labs, participants will gain the skills to utilize GCP services and pre-trained machine learning APIs to build secure, scalable, and intelligent applications.

Key topics covered include GCP service utilization, cloud-native application development principles, security and scalability considerations, integration with managed services, leveraging pre-trained machine learning APIs, and application deployment options.

By the end of the course, participants will have the practical knowledge to design, develop, and deploy cloud-native applications that effectively leverage GCP’s managed services. They will be equipped to build secure, scalable, and intelligent applications by incorporating pre-trained machine learning capabilities provided by GCP. This course enables application developers to maximize the potential of the Google Cloud Platform for creating robust and innovative cloud-native applications.

Intended Audience:

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

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 ContainerEngine as a runtime environment and later switch to a no-ops solution withGoogle App Engine flexible environment.

Developing Applications with Google Cloud Platform

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 CloudSDK, and Google Firebase SDK
  • Lab: Set up Google Client Libraries, 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, Cloud Firestore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner

Module 4:​ Best Practices for Using Cloud Firestore

  • Best practices related to using Cloud Firestore in Datastore mode for:


○Built-in and composite indexes

○Inserting and deleting data (batch operations)


○Error handling

  • Bulk-loading data into Cloud Firestore by using Google Cloud Dataflow
  • Lab: Store application data in Cloud Datastore

Module 5:​ Performing Operations on Cloud Storage

  • Operations that can be performed on buckets and objects
  • Consistency model
  • Error handling Training and Certification

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 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 VisionAPI and Cloud Natural Language Processing API.

Module 10:​ Using 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 Cloud Endpoints

  • Open API deployment configuration
  • Lab: Deploy an API for your application Training and Certification

Module 12:​ Deploying Applications

  • 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 (GCE)

○Google Kubernetes Engine (GKE)

○App Engine flexible environment

○Cloud Functions

○Cloud Dataflow

○Cloud Run

  • 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 are quest across services, observe, and optimize performance

To get the most benefit from this course, participants should have the following prerequisites:

  • Completed ​Google CloudPlatform Fundamentals​ or have equivalent experience
  • Working knowledge of Node.js, Python, or Java
  • Basic proficiency with command-line tools and Linux operating system environments

Discover the perfect fit for your learning journey

Choose Learning Modality

Live Online

  • Convenience
  • Cost-effective
  • Self-paced learning
  • Scalability


  • Interaction and collaboration
  • Networking opportunities
  • Real-time feedback
  • Personal attention


  • Familiar environment
  • Confidentiality
  • Team building
  • Immediate application

Training Exclusives

This course comes with following benefits:

  • Practice Labs.
  • Get Trained by Certified Trainers.
  • Access to the recordings of your class sessions for 90 days.
  • Digital courseware
  • Experience 24*7 learner support.

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