Developing Applications with Google Cloud Platform

Get started with devlopping applications on Google Cloud. Learn how to design, develop and deploy applications connected to the Google Cloud ecosystem.
Private session

This training is available in a private or personalized format. It can be provided in one of our training centres or at your offices. Call one of our consultants of submit a request online.

Call now at 1 877 624.2344

  • Duration: 3 days
  • Regular price: On request

Course outline

Design, develop, and deploy applications on GCP

Duration : 3 days

This course was formerly titled “Developing Solutions with Google Cloud Platform” (CPD200).
In this course, application developers learn how to design, develop, and deploy applications
that seamlessly integrate components from the Google Cloud ecosystem. Through a
combination of presentations, demos, and hands-on labs, participants learn how to use GCP
services and pre-trained machine learning APIs to build secure, scalable, and intelligent
cloud-native applications.


To get the most benefit from this course, participants should have the following
• Completed Google Cloud Platform Fundamentals or have equivalent
• Working knowledge of Node.js
• Basic proficiency with command line tools and Linux operating system


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
• Engine as a runtime environment and later switch to a no-ops solution with Google
App Engine Flex.


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

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

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

Best Practices for Using 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

Performing Operations on Buckets and Objects

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

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

Securing Your Application

• 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
Using Google Cloud Pub/Sub to Integrate Components of Your
• Topics, publishers, and subscribers
• Pull and push subscriptions
• Use cases for Cloud Pub/Sub

Adding Intelligence to Your Application

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

Natural Language Processing API

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
Using Cloud Endpoints to Deploy APIs
• Open API deployment configuration
Debugging Your Application by Using Google Stackdriver
• Stackdriver Debugger
• Stackdriver Error Reporting
Deploying an Application by Using Google Cloud Container Builder, Google Cloud Container Registry, and Google Cloud Deployment Manager
• Creating and storing container images
• Repeatable deployments with deployment configuration and templates
Execution Environments for Your Application
• Considerations for choosing an execution environment for your application or service:
• Google Compute Engine
• Container Engine
• App Engine Flex
• Cloud Functions
• Cloud Dataflow
Monitoring and Tuning Performance
• Best practices and watchpoints for performance
• Key concepts related to Stackdriver Trace and Stackdriver Monitoring
• Detecting and resolving performance issues

Surround yourself with the best

Khalil Ben Fadhel
Khalil Ben Fadhel
Trainer, Data Science - AI
Khalil is an artificial intelligence expert working at Leap Conseil. Thanks to its extensive expertise in the managing and conducting artificial intelligence projects, Khalil has co-worked with several public and private sector organizations to carry out innovative projects.
Fazil Chouakri
Fazil Chouakri
VP Technology, Coach and Trainer
Fazil is a coach and trainer with solid experience in the field, which allows him to combine the practical and the theoretical to meet his students’ needs.
Philippe Paradis
Philippe Paradis
Certified Trainer and IT Consultant
Obsessed with the quality of services he provides and the solutions he develops, Philippe always makes sure he delivers more than what people expect, all while ensuring a pleasant learning experience.
Michel Laporte
Michel Laporte
Trainer and IT consultant
Michel possesses the ability to translate needs into IT solutions. His mission is to help his clients surf the ceaselessly accelerating technology wave.
Be aware of trends, innovations and best practices, every month.
Training center accredited by Emploi-Québec, Accreditation : 0051460
GST : 141582528 – QST : 1019557738
© 2022 AFI
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