About Course

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

Prerequisite Courses

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

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

Skills Gained

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

Who Can Benefit

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

Course Details

Course Outline

• 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 1: Best Practices for Application Development

• 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

• Overview of options to store application data
• Use cases for Google Cloud Storage, Google Cloud Datastore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner