Google Cloud Engineer for Azure Professional Course

Google Cloud Engineer for Azure Professional course is aimed at IT specialists who would like to become inventory in cross-cloud skills and develop efficient, secure, and scalable solutions on both Google Cloud Platform (GCP) and Microsoft Azure. The training is based on deployment strategies, multi-cloud network, identity and access management, storage integration, workload migration and monitoring in the hybrid environments. 

 Learners will have the practical knowledge of how to configure virtual networks, operate Kubernetes clusters with GKE and AKS, optimize cloud resources, implement serverless applications and auto-scale infrastructure with the help of Terraform and Cloud Shell. The course also highlights the best practices in cloud security, compliance and high availability as well as ensuring a smooth interoperability between GCP and Azure services. 

At the conclusion of the program, the participants will have the abilities to create multi-cloud architectures, move enterprise workloads without any issues, and operate clouds with self-confidence. The course is best suited to cloud engineers, DevOps professionals, system administrators, and people who want to increase their multi-cloud capabilities. 

 It is a job-oriented curriculum that offers you the opportunity to become a job-ready cloud professional equipped with expert guidance, labs, and more through their services delivered by SSDN Technologies, the best training company, and will allow you to succeed in the multi-cloud ecosystem. 
 


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Learning Options for You

  • Live Training (Duration : 32 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Hands-on experience with Microsoft Azure services
  • Strong understanding of cloud networking, compute, and IAM
  • Basic knowledge of containers (Docker/Kubernetes)
  • Familiarity with DevOps or automation concepts
  • Understanding of virtual machines, storage, and cloud security

Learning Objectives

This course is designed for Azure professionals who want to gain deep expertise in Google Cloud. It covers GCP architecture, identity and access management, networking, compute engine, storage options, and Kubernetes workloads while mapping Azure services to their Google Cloud equivalents. Learners will explore CI/CD pipelines using Cloud Build, infrastructure automation through Deployment Manager and Terraform, and monitoring with Google Cloud Operations Suite. The training includes hands-on labs to deploy workloads, migrate applications, and implement hybrid/multi-cloud architectures. By the end, participants will confidently design, manage, and optimize Google Cloud environments using their Azure experience.

Target Audience

  • Azure Cloud Engineers transitioning to Google Cloud
  • Multi-cloud professionals working across Azure and GCP
  • Cloud Architects seeking cross-platform expertise
  • DevOps & SysOps engineers expanding to Google Cloud
  • IT professionals managing hybrid or multi-cloud projects
  • Engineers preparing for Google Cloud certification with Azure background

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