GCP-Google Cloud Certified Professional Cloud Architect Training

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

GCP-Google Cloud Certified Professional Cloud Architect Training Course Overview

Developed by Google, Google Cloud consists of various public cloud computing services, and provides businesses with cloud management and cloud management services. It helps businesses with hosted services for storage and application development. Plus, Google Cloud is facilitating the digital transformation by offering world-class infrastructure to the business groups.

We, Multisoft Systems, have a team of Google certified trainers and providing the Google Cloud Architect Certification Training Course. Over the years, this course has turned into one of the most popular certification courses related to the Google Cloud Platform. It aims in imparting skills required to design and plan cloud solution architecture, ensure operations reliability, and optimize technical and business processes.

Upon the completion of this course, the candidates will be able to:

  • Design, plan, and implement cloud architecture
  • Finalize the designs for security and compliance
  • Maintain authenticity of solutions and operations
  • Manage and prepare a cloud solution infrastructure
  • Analyze and streamline business operations

Target Audience

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

Prerequisites

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

Instructor-led Training Live Online Classes

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GCP-Google Cloud Certified Professional Cloud Architect Training Course Content

Module 1: Google Cloud Platform Introduction

  • 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

Module 2: Managing GCP Services

  • 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

Module 3: GCP Networking Services

  • 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

Module 4: GCP IAM and Security Services

  • 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

MModule 5: GCP Compute Services

  • Understand Compute Engine
  • Understand and implement Compute options (vCPU and Memory) specific to workload
  • Persistent disk ? HDD, SSD
  • Load Balancing
  • Common Compute Engine actions

Module 6: GCP Storage & Database Services

  • 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

Module 7: Containers

  • 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

Module 8: Cloud Dataflow for Data Processing

  • 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

Module 9: GCP APIs & Development Services

  • 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

Module 10: Designing & Implementing GCP Migration

  • Collect and Analyze metrics
  • Evaluate and choose an automation framework for provisioning resources in cloud
  • Design strategy
  • Create Migration Plan

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GCP Architect Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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GCP Architect Corporate Training

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  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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