Identify the purpose and value of Google Cloud products and services.

Define how infrastructure is organized and controlled in Google Cloud

Explain how to create a basic infrastructure in Google Cloud

Select and use Google Cloud storage options

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 microservices-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.

Recognize the benefits of and use cases for Cloud Run functions in modern application development.

Understand how to build, test and deploy Cloud Run functions.

Secure and connect Cloud Run functions to resources, and cloud databases.

Use best practices with functions.

Define containers, container images, and package applications into container images.

Identify best practices used to create, test, and secure containers.

Understand the basics of Cloud Run and Google Kubernetes Engine.

Understand the fundamentals of Cloud Run that include the resource model, container lifecycle, and autoscaling.

Develop and test applications locally before deploying to Cloud Run.

Use service identity and IAM with Cloud Run.

Integrate Cloud Run applications with Google Cloud services.

Discover the Gemini API and its generative AI models.

Access the Gemini 1.0 Pro and Gemini 1.0 Pro Vision models from code.

Test the capabilities of the models with text, image, and video prompts from an app.