Google Cloud Architect Certification Training

Become a maven of cloud computing

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Key Highlights

  • Instructor-led sessions of 36 hours
  • Case Studies
  • Lifetime Access to LMS
  • Assignments Included
  • Community Forum for discussions with peers
  • 24x7 learning support

Course Price

$399.00 $799.00

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Available Courses Delivery

This course is available in the following formats:

Course Overview

Google Cloud certification course trains in cloud architecture and Google Cloud platform. It intends to provide an in-depth understanding of Google Cloud technologies. The course introduces learners to various GCP services, such as networking, storage, virtual machines, security, containers, etc. Once certified, the professionals will be authorized to develop and deploy extensible Google Cloud solutions for large projects and organizations.

Course Objectives

  • Train learners in the process of designing and planning a cloud architecture
  • Furnish the learners with knowledge of analyzing and streamlining business operations
  • Impart practical knowledge of managing and preparing cloud solution infrastructure
  • Develop a thorough understanding of finalizing designs for security and compliance
  • Train the learners in maintaining authenticity of solutions and operations
  • Provide in-depth knowledge about administering implementations of cloud architecture
  • Acquaint learners with various methods to design, implement, and deploy solutions
  • Provide in-depth knowledge of various GCP products and services

Career Benefits

  • Opportunity to work with the most significant technology in the IT industry
  • Trained in globally recognized services such as YouTube, Google Search, etc.
  • Get rewards and recognition
  • Provides flexibility to professionals to pick up roles according to their current job profile
  • Better opportunities in cloud arena


  • Professionals with a basic understanding of IT Service Management
  • Prior IT experience will be an added advantage

Who Should take up?

  • Cloud Solutions Architects
  • DevOps Engineers
  • Professionals with experience in using Google Cloud Platform

Course Content

  • Google Cloud Platform (GCP) Infrastructure
  • Compute resources
  • Networking Services
  • Storage and Database offering
  • Bigdata and AI services
  • Basics of GCP Project
  • Introduction to Primitive role
  • Managing GCP environment with GCP console
  • Control GCP environment using CLI
  • GCP environment management using Cloud Shell
  • GCP environment management using Gcloud
  • GCP environment management using Gsutil
  • Install and configure cloud SDK
  • Cloud Virtual Network
  • Virtual Private Network
  • Virtual Private Cloud
  • Proxies / Gateway and Endpoints
  • Network/Subnetwork
  • DNS Resolution
  • Firewalls and Routes
  • Cloud Router
  • Interconnecting networks
  • Security aspect
  • Understand Identity and Access Management (IAM)
  • Understanding Organizations, Roles, Members, Service accounts, Policy
  • Policy Hierarchy
  • Understanding different role and permission
  • Creating custom role
  • Basic IAM APIs
  • Best Practices
  • Key Management Systems
  • Data security
  • Resource Sharing and Isolation
  • Auditing
  • Penetration testing
  • Security controls
  • Understand Compute Engine
  • Understand and implement Compute options (vCPU and Memory) specific to workload
  • Persistent disk ? HDD, SSD
  • Load Balancing
  • Common Compute Engine actions
  • Understand Cloud Storage ? Nearline, Coldline
  • Cloud SQL
  • Cloud Spanner, Cloud Datastore
  • Cloud Bigtable
  • Pros and cons of storage option and how to choose
  • Understanding Billing aspect of storage options
  • Tradeoff of storage options
  • Integration with on-premises/multi-cloud environment
  • Understand Containers and their benefits
  • Kubernetes Engine, Container Registry
  • How to use Kubernetes Load Balancing
  • How to choose Kubernetes Engine, App Engine, or Containers on Compute Engine
  • Dataflow services
  • Stream and Batch processing
  • Apache Beam SDK
  • Monitoring using Stackdriver
  • Data transformation with Cloud Data flow
  • Working with Dataproc
  • Creating Cluster
  • Managing cluster
  • Automation of jobs
  • Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
  • Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs
  • App Engine
  • How to use Google Stackdriver: Overview, Integration, Monitoring, Logging, Error reporting, Tracing
  • Setup CI/CD
  • Setting up Jenkins on Container engine
  • Deploy application on Jenkins
  • Create deployment pipeline in Jenkins
  • Create and Deploy on cluster
  • Deploy development and production environment
  • Analysis & Troubleshooting
  • Collect and Analyze metrics
  • Evaluate and choose an automation framework for provisioning resources in cloud
  • Design strategy
  • Create Migration Plan


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