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Developing Applications with Google Cloud

Learn the fundamentals of application development on Google Cloud and best practices for designing cloud applications on this three-day, instructor-led course.

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3 day course
Partner of the Year
Virtual, Private
Virtual Classroom
A convenient and interactive learning experience, that enables you to attend one of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.
Private
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

As a trusted Google Cloud Partner, Jellyfish has been selected by Google to facilitate the delivery of this three-day course.

During the session, you’ll learn about authentication and authorisation, generative AI for developers, and continuous integration and delivery for your apps running in Google Cloud.

We’ll teach you about event-based applications and the use of service orchestration and choreography to coordinate microservices. We’ll also cover Cloud Functions, which means you’ll be able to go on and implement single-purpose functions that respond to HTTP requests and process events within your cloud infrastructure.

Our Developing Applications with Google Cloud course is available as a private training session that can be delivered virtually or at a location of your choice in the UK.

Course overview

Who should attend:

This course is for application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud, as well as cloud architects and engineers.

What you'll learn:

By the end of this course, you will be able to:

  • Understand best practices for application development in the cloud
  • Understand how to choose the appropriate data storage option for application use cases
  • Use authentication and authorisation to secure an application
  • Describe use cases for the different Google Cloud compute options used for running applications
  • Describe the benefits and challenges of microservice-based architectures
  • Describe the advantages of event-driven applications
  • Identify the strengths of orchestration and choreography
  • Use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to coordinate a microservices application on Google Cloud
  • Recognise the benefits of and use cases for Cloud Functions in modern application development
  • Build, test, and deploy Cloud Functions
  • Secure and connect Cloud Functions to resources and cloud databases
  • Use best practices with Cloud Functions

Prerequisites

To get the most out of this course, you'll need some programming experience. Basic proficiency with command-line tops and Linux operating system environments will also be helpful.

Course agenda

Module 1: Best Practices for Cloud Application Development
  • Discuss best practices for application development in the cloud
  • Describe patterns for improving stability and reliability of cloud applications
Module 2: Getting Started with Google Cloud Development
  • Discuss how the Google Cloud SDK lets you interact with Google Cloud services
  • Describe how Cloud Client Libraries can be used in your applications
  • Discuss how Cloud Code helps developers create cloud applications on Google Cloud
Module 3: Data Storage Options
  • Understand how to choose the appropriate data storage option for application use cases
  • Use Firestore to store document-based application data
  • Use Cloud Storage to store unstructured data
Module 4: Handling Authentication & Authorisation
  • Discuss how Identity-Aware Proxy authenticates application users
  • Describe the use of federated identity for applications in Google Cloud
  • Describe how to authenticate your application to Google Cloud APIs based on how your application is deployed
  • Use authentication and authorisation to secure an application
Module 5: Adding Intelligence to Your Application
  • Describe how pre-trained machine learning APIs can be called from applications
  • Differentiate the use cases for Google Cloud’s pre-trained machine learning APIs
  • Use a Google Cloud pre-trained machine-learning API in an application
Module 6: Deploying Applications
  • Discuss the features of a continuous integration and delivery pipeline
  • Describe how to build and store application container images
  • Create a container image by using Cloud Build
Module 7: Compute Options for Your Application
  • Describe use cases for the different compute options used for running applications on Google Cloud
  • Differentiate the benefits of different compute options on Google Cloud
Module 8: Monitoring & Performance Tuning
  • Recognise the four golden signals
  • Describe benefits of the services in Google Cloud’s operations suite
Module 9: Introduction to Microservices
  • Describe the differences between monolithic applications, service-oriented architecture (SOA), and microservices
  • Describe the benefits and challenges of microservice-based architectures
Module 10: Event-Driven Applications
  • List the characteristics of an event
  • Describe the advantages of event-driven applications
Module 11: Choreography & Orchestration
  • Understand how Pub/Sub and Eventarc can be used to connect services by using the choreography pattern
  • Explain the benefits of using CloudEvents for event metadata
  • Understand how Workflows can be used to orchestrate services
  • Differentiate the use cases for choreography and orchestration
  • Use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to coordinate a microservices application on Google Cloud
Module 12: Introduction to Cloud Functions
  • Define Cloud Functions
  • Identify the use cases, features, and benefits of Cloud Functions
  • Distinguish the types of Cloud Functions, and identify the supported languages for developing functions
  • Develop and deploy a Cloud Function using the Google Cloud console and gcloud CLI
Module 13: Calling & Connecting Cloud Functions
  • Understand the different kinds of triggers available, and learn how to specify triggers for functions
  • Connect services and functions with workflows
  • Connect functions to resources in a VPC network
Module 14: Securing Cloud Functions
  • Secure Cloud Functions with identity and network-based access controls
  • Understand function identity
  • Understand how to authenticate and authorise access to functions for invocation and administration
  • Protect functions and related data with encryption keys
Module 15: Integrating with Cloud Databases
  • Integrate Cloud Functions with cloud databases such as Firestore and Memorystore
  • Use secrets with Cloud Functions
  • Use environment variables with Cloud Functions
Module 16: Best Practices
  • Use best practices when developing and implementing Cloud Functions
  • Understand how to retry event-driven Cloud Functions on failure
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