Developing Applications with Google Cloud Platform (GCPDEV)

This course teaches participants the following skills:

• Discuss best practices for application development in the cloud.
• Understand how to choose the appropriate data storage option for application use cases.
• Use authentication and authorization to secure an application.
• Describe use cases for the different Google Cloud compute options used for running applications.
• Describe the benefits and challenges of microservicebased 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.
• Recognize the benefits of and use cases for Cloud Functions in modern application development.
• Understand how to build, test, and deploy Cloud Functions.
• Secure and connect Cloud Functions to resources and cloud databases.
• Use best practices with Cloud Functions.

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 and Authorization

• 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 authorization to secure an application.

Module 5: Adding Intelligence to Your Application

• Describe how pretrained machine learning APIs can be called from applications.
• Differentiate the use cases for Google Cloud's pretrained machine learning APIs.
• Use a Google Cloud pretrained 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 and Performance Tuning

• Recognize 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 and 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 and 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 authorize 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.

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

• Programming experience is recommended.
• Basic proficiency with command-line tools and Linux operating system environments is helpful.

None

No recommendation

• Official course book provided to participants