Detailed Course Outline
Module 1: Best Practices for Application Development
Topics:
- This module introduces best practices for developing applications that run in the cloud.
Objectives:
- Discuss best practices for application development in the cloud.
- Describe patterns for improving stability and reliability of cloud applications.
Activities:
- 1 quiz
Module 2 - Getting Started with Google Cloud Development
Topics:
- This module introduces the various Google Cloud tools you will use to develop your applications.
Objectives:
- 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.
Activities:
- 1 quiz
Module 3 - Data Storage Options
Topics:
- This module compares the data storage and database services provided by Google Cloud.
Objectives:
- 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.
Activities:
- 1 lab, 1 quiz
Module 4 - Handling Authentication and Authorization
Topics:
- This module explains how authentication and authorization are added to your cloud applications.
Objectives:
- 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.
Activities:
- 1 quiz
Module 5 - Adding Intelligence to Your Application
Topics:
- This module discusses how pretrained machine learning APIs and generative AI can improve your cloud applications.
Objectives:
- 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.
Activities:
- 1 lab, 1 quiz
Module 6 - Deploying Applications
Topics:
- This module discusses how to build and deploy applications on Google Cloud.
Objectives:
- 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.
Activities:
- 1 quiz
Module 7 - Compute Options for Your Application
Topics:
- This module discusses the compute options available for running your applications in Google Cloud.
Objectives:
- 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.
Activities:
- 1 quiz
Module 8 - Monitoring and Performance Tuning
Topics:
- This module discusses the application use cases of the services in Google Cloud's operations suite.
Objectives:
- Recognize the four golden signals.
- Describe benefits of the services in Google Cloud's operations suite.
Activities:
- 1 lab, 1 quiz
Module 9 - Introduction to Microservices
Topics:
- This module introduces you to microservices and discusses the benefits and challenges of using a microservices architecture for your applications.
Objectives:
- Describe the differences between monolithic applications, service-oriented architecture (SOA), and microservices.
- Describe the benefits and challenges of microservice-based architectures.
Activities:
- 1 quiz
Module 10 - Event-Driven Applications
Topics:
- This module introduces events and event-driven applications and discusses the benefits of choosing an event-driven architecture for your microservices applications.
Objectives:
- List the characteristics of an event.
- Describe the advantages of event-driven applications.
Activities:
- 1 quiz
Module 11 - Choreography and Orchestration
Topics:
- This module introduces two effective patterns for inter-service communication: choreography and orchestration. Eventarc uses the choreography pattern, which allows independent services to perform tasks when events are received. Workflows uses orchestration, and acts as a central orchestrator of the interactions between the services. You learn how Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler can be used to build powerful microservices applications on Google Cloud.
Objectives:
- 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.
Activities:
- 1 lab, 1 quiz
Module 12 - Introduction to Cloud Functions
Topics:
- An introduction to Cloud Functions
- Benefits and use cases
- Types of Cloud Functions and language runtimes
Objectives:
- 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.
Activities:
- 1 lab, 1 quiz
Module 13 - Calling and Connecting Cloud Functions
Topics:
- Cloud Functions triggers
- Connecting Cloud Functions
Objectives:
- 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.
Activities:
- 1 lab, quiz
Module 14 - Securing Cloud Functions
Topics:
- Accessing and authenticating to functions
- Protecting functions and data
Objectives:
- 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.
Activities:
- 1 quiz
Module 15 - Integrating with Cloud Databases
Topics:
- Integrate Cloud Functions with cloud databases
- Use secrets with Cloud Functions
Objectives:
- Integrate Cloud Functions with cloud databases such as Firestore, and Memorystore.
- Use secrets with Cloud Functions.
- Use environment variables with Cloud Functions.
Activities:
- 1 lab, 1 quiz
Module 16 - Best Practices
Topics:
- Cloud Functions best practices
Objectives:
- Use best practices when developing and implementing Cloud Functions.
- Understand how to retry event-driven Cloud Functions on failure.
Activities:
- 1 quiz.