Google Cloud Engineer for Azure Professional

Course Prerequisites

• Strong experience with Microsoft Azure, including services like Azure Virtual Machines, Azure Blob Storage, Azure Active Directory, Azure Kubernetes Service (AKS), and Azure Functions.
• Basic understanding of cloud computing concepts, such as compute, storage, networking, and security.
• Familiarity with cloud automation tools such as Azure Resource Manager (ARM) templates, Terraform, or Ansible.
• Prior knowledge of Google Cloud Platform (GCP) is not required, but it is helpful to have some familiarity with core Google Cloud services like Google Compute Engine (GCE) and Google Kubernetes Engine (GKE).

Learning Objectives

By the end of the Google Cloud Engineer for Azure Professional course, you will be able to:

1. Understand the key differences and similarities between Azure and Google Cloud Platform (GCP), including core services and architecture.
2. Design and deploy hybrid cloud architectures that integrate both Azure and Google Cloud for optimized performance, scalability, and cost-efficiency.
3. Implement cross-cloud networking solutions to securely connect Azure Virtual Networks with Google Cloud VPCs, ensuring seamless communication between the two platforms.
4. Manage and automate cloud resources across both platforms using Terraform, Cloud Deployment Manager, and Azure Resource Manager (ARM) templates.
5. Use Google Kubernetes Engine (GKE) and Azure Kubernetes Service (AKS) for containerized workloads, ensuring consistent deployment and management of containers across both clouds.
6. Implement CI/CD pipelines using Google Cloud Build and Azure DevOps to automate the integration and deployment of applications across multi-cloud environments.
7. Leverage Google Cloud IAM and Azure Active Directory (AD) to manage identity and access control in multi-cloud architectures, ensuring secure and compliant environments.
8. Utilize Google Cloud Storage and Azure Blob Storage to manage and synchronize data across both clouds, ensuring data consistency and availability.
9. Monitor and troubleshoot cloud infrastructures using Google Cloud Operations Suite (formerly Stackdriver) and Azure Monitor for consistent visibility across both platforms.
10. Optimize costs across Google Cloud and Azure by using Google Cloud Billing and Azure Cost Management, applying best practices for cloud cost optimization.
11. Prepare for Google Cloud certifications like the Professional Cloud Architect and Professional Cloud Engineer, while leveraging your existing Azure certifications.

Target Audience

This course is ideal for:

• Azure professionals who are experienced in cloud engineering and want to learn how to integrate Google Cloud into their workflow.
• Cloud engineers and DevOps professionals interested in mastering multi-cloud architectures and enhancing their skills by adding Google Cloud to their toolset.
• IT administrators and cloud architects who need to work with both Google Cloud and Azure for creating hybrid cloud solutions.
• System engineers and solution architects looking to build and manage cross-cloud solutions between Azure and Google Cloud.
• Cloud consultants and cloud specialists who are working with or transitioning between Azure and Google Cloud environments.