Learn to develop secure and reliable GCP solutions. Join now and learn from a competent Google Cloud architect.

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  • In the Google Cloud Professional Cloud Architect training program, you will learn how a Cloud Architect helps an organization utilize the power of the Google Cloud Platform. During the training, you will gain a thorough knowledge of Cloud Architecture and GCP. You will also learn how to design and develop dynamic solutions with the Google Cloud Platform. Furthermore, you will learn about creating and planning cloud solution architecture and managing and provisioning cloud solution infrastructure. You will also learn to analyze/optimize the technical processes of GCP solutions. You will also acquire all the knowledge and skills a competent Google Cloud Architect should possess.
  • Things you will learn:
    • Fundamentals of GCP

      Various GCP services

      How to provision a cloud solution infrastructure

      GCP best practices

      How to design/plan cloud solution architecture

      How to ensure the reliability of cloud solutions

  • The Google Cloud-Architect training program is for aspiring Google Cloud-Architects who want to become experts in designing cloud solution architecture.
  • Prerequisites:
    • Basic computer knowledge

      Basic knowledge about GCP

      Passion for learning

      Basic knowledge about designing cloud solution architecture

  • This course is for:
    • GCP newbies

      Aspiring Google Cloud Architects

      Engineering graduates

      AWS solutions architects

      Students who want to clear the Google Cloud Architect exam

Google Cloud-Professional Cloud Architect


  • The Google Cloud Architect training program will help you become expert and proficient in using different Google Cloud technologies. Moreover, you will learn how to administer cloud solutions and ensure that they are reliable and operational.
    • Provide quality GCP knowledge to aspiring Google Cloud Architects

      Make students master key Google Cloud concepts/fundamentals

      Prepare students to clear the Google Cloud Architect exam

      Make students expert in designing cloud infrastructure/architecture

      Help students acquire all the skills that a competent Google Cloud Architect should have

      Help students learn about the duties and role of a Cloud Architect

      Make you familiar with GCP best practices

  • Our Google Cloud training faculty will help you:
    • Become an expert in utilizing GCP best practices

      Become an expert in utilizing various GCP services

      Make you an expert in designing cloud infrastructure and architecture

      Understand the responsibilities of Google Cloud Architect

      Help you become a competent Google Cloud Architect

      Acquire knowledge about crucial Google Cloud Platform concepts.

      Become an expert in managing GCP services

  • Demand for competent Cloud Architects is increasing significantly with every passing year. This is because of the fact that today slowly, all the organizations are migrating to the GCP platform. According to sites like Monster and Naukri, a competent Google Cloud Architect can earn a good amount of money in exchange for his services.
  • As per Glassdoor, a Google Cloud Architect can earn approximately 4,00,000 PA as a fresher. On the other hand, an experienced Google Cloud Architect can approximately 32 LPA to 38 LPA depending upon his proficiency and skills.

  • After doing the Cloud Architect training program, you can easily get various job opportunities and roles in the cloud computing field. Besides this, you will also get big paychecks for your services to a firm. In short, pursuing your career as a Google Cloud Architect can be very beneficial for your career.
  • Roles that you can take after completing the Google Cloud Professional Cloud Architect training program:
    • Google Cloud Engineer

      Google Cloud Professional

      GCP trainer

      Google Cloud Architect

      Google Cloud expert

  • The demand for skilled Cloud Architects is rising at a rapid pace, and this trend, as per surveys, is going to continue in the coming years. As a result, there will be enormous demand for GCP professionals or Google Cloud Architects in the market who are experts in designing and planning cloud solution architectures. Thus, pursuing your career in the Google Cloud industry can be very beneficial for you.

  • A Cloud Architect helps an organization use the power of various Google Cloud technologies for their maximum advantage. He helps its clients in developing and managing robust/dynamic Google Cloud solutions. This is the reason why Google Cloud Architects are considered a vital part of an organization and charge lots of money for their services.
  • Here’s why Google Cloud Architects are popular:
    • Mentor team members

      Help an organization develop robust Google Cloud solutions

      Manages Google Cloud solutions

      Ensures Google Cloud solutions reliability

  • A Google Cloud Architect is considered a very important part of an organization. He designs and develops GCP solutions for an organization. Moreover, he manages Google Cloud solutions and ensures that they are operational and reliable. In simple words, a Google Cloud Architect performs a very important role in an organization that leverages Google Cloud technologies.
  • Key responsibilities of a Google Cloud Architect:
    • Setup GCP environment

      Mentor team members

      Design and develop Google Cloud solutions

      Manage and administer Google Cloud solutions

      Ensure that solutions are operational and reliable

      Use Google SQL for handling the data of the user/client

      Give recommendations for integration strategies, apps, cloud infrastructure, etc.

  • Companies all over the world are migrating their computing infrastructure to the cloud for saving money, improve data visibility and management, etc. This is the reason why companies nowadays keep looking for competent GCP professionals for their organization, and if facts are to be believed, then this trend is not expected to change any time sooner.
  • Top hiring companies for Google Cloud Architects:
    • AWS







  • After completing all the assignments and training, you will get a certification of completion for showcasing your expertise as a Google Cloud Architect. In addition to this, you will receive the following services from our HR and placement support department:
    • 100% placement support

      Interview grooming sessions

      Resume preparation

      Access to our portal (job portal)

  • Advantages of getting certification:
    • Recognized certification

      Hefty remuneration

      Help you show your expertise as a Google Cloud Architect

      Hike in salary

      Lots of job opportunities

Why Should You Do Google Cloud Architect Certification Training?

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Plenary for Google Cloud-Professional Cloud Architect

Track Week Days Weekends Fast Track
Course Duration 40-45 Days 7 Weekends 8 Days
Hours 1 Hrs. Per Day 2 Hrs. Per Day 6+ Hrs. Per Day
Training Mode Classroom/Online Classroom/Online Classroom/Online
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10% OFF Expires in01D 08H 53M 23S

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Google Cloud-Professional Cloud Architect

  • Designing a solution infrastructure that meets business requirements. Considerations include
    • Business use cases and product strategy

      Cost optimization

      Supporting the application design

      Integration with external systems

      Movement of data

      Design decision trade-offs

      Build, buy, or modify

      Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)

      Compliance and observability

  • Designing a solution infrastructure that meets technical requirements. Considerations include
    • High availability and failover design

      Elasticity of cloud resources

      Scalability to meet growth requirements

      Performance and latency

  • Designing network, storage, and compute resources. Considerations include
    • Integration with on-premises/multi-cloud environments

      Cloud-native networking (VPC, peering, firewalls, container networking)

      Choosing data processing technologies

      Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, New SQL)

      Choosing compute resources (e.g., pre-emptible, custom machine type, specialized workload)

      Mapping compute needs to platform products

  • Creating a migration plan (i.e., documents and architectural diagrams). Considerations include
    • Integrating solution with existing systems

      Migrating systems and data to support the solution

      Licensing mapping

      Network planning

      Testing and proof of concept

      Dependency management planning

  • Envisioning future solution improvements. Considerations include
    • Cloud and technology improvements

      Business needs evolution

      Evangelism and advocacy

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  • Configuring network topologies. Considerations include
    • Extending to on-premises (hybrid networking)

      Extending to a multi-cloud environment that may include GCP to GCP communication

      Security and data protection

  • Configuring individual storage systems. Considerations include
    • Data storage allocation

      Data processing/compute provisioning

      Security and access management

      Network configuration for data transfer and latency

      Data retention and data life cycle management

      Data growth management

  • Configuring compute systems. Considerations include
    • Compute system provisioning

      Compute volatility configuration (preemptible vs. standard)

      Network configuration for compute nodes

  • Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)
  • Container orchestration with Kubernetes
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  • Designing for security. Considerations include
    • Identity and access management (IAM)

      Resource hierarchy (organizations, folders, projects)

      Data security (key management, encryption)

      Penetration testing

      Separation of duties (SoD)

      Security controls (e.g., auditing, VPC Service Controls, organization policy)

      Managing customer-managed encryption keys with Cloud KMS

  • Designing for compliance. Considerations include
    • Legislation (e.g., health record privacy, childrens privacy, data privacy, and ownership)

      Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])

      Industry certifications (e.g., SOC 2)

      Audits (including logs

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  • Analyzing and defining technical processes. Considerations include
    • Software development life cycle plan (SDLC)

      Continuous integration / continuous deployment

      Troubleshooting / post mortem analysis culture

      Testing and validation

      Service catalogue and provisioning

      Business continuity and disaster recovery

  • Analyzing and defining business processes. Considerations include:
    • Stakeholder management (e.g. influencing and facilitation)

      Change management

      Team assessment / skills readiness

      Decision-making process

      Customer success management

      Cost optimization / resource optimization (capex / opex)

  • Developing procedures to ensure resilience of solution in production (e.g., chaos engineering)
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  • Advising development/operation team(s) to ensure successful deployment of the solution. Considerations include
    • Application development

      API best practices

      Testing frameworks (load/unit/integration)

      Data and system migration tooling

  • Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq). Considerations include
    • Local installation

      Google Cloud Shell

  • IAM user- groups
    • Creating a user and group

      Adding a user to the group

      Password policy setup for users

      Attaching policy to users

      Enabling dual /Multifactor authentication to the users

  • IAM Roles
    • Creating a role

      Launching a EC2 instance using a S3 full access role

      Deleting a role

  • Security Token service
  • Security on AWS
  • AWS and IT audits
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  • Working with the AWS CLI
  • Launch instance with s3 and ec2 full access
  • Configure AWS cli client
  • Create a security group using cli
  • Create a key pair using cli
  • Launch an ec2 instance using cli
  • Stop an ec2 instance using cli
  • Terminate an ec2 instance using cli
  • Create an s3 bucket using cli
  • Upload and download an object from your local machine to s3 through cli
  • List buckets through cli
  • Delete buckets through cli
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  • RDS - An Overview
  • RDS Read Replica
  • RDS- Multi AZ failover
  • RDS snapshots
    • Create a RDS instance

      Connecting to an RDS instance

      Creating a RDS snapshots and restoring snapshot

      Deleting RDS snapshots

  • Deploy Web application in Amazon Ec2 (media wiki)
  • Connect your Media wiki web application with RDS instances securely
  • Make media wiki available on public URL for user sign up and write knowledge wiki
    • Deleting RDS instance

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  • Route 53 - routing options
  • Simple routing Hands-on lab
  • weighted routing policy lab
  • latency based routing lab
  • Geolocation based routing lab
  • failover routing lab
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  • What is VPC A comprehensive introduction
  • Networking bottlenecks
  • Understanding VPC configurations
    • VPC with single public subnet

      VPC with public and private subnet

      VPC Peering

      Access control List

  • Configuring VPC Instances (Hands on lab by students)
    • Creating a VPC


      Internet Gateway


      Configuring a NAT Gateway

      Creating security groups

      Launching instances in public and private subnets

  • NAT vs Bastions
  • VPC Flow Logs
  • VPC clean up
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  • Infrastructure as Code using Cloud Formation
  • Cloud formation Create a new stack
  • Create and deploy sample template in JSON format
  • Use existing templates and deploy
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  • Cloud Watch Introduction
  • EC2 Status Troubleshooting
  • Create A Cloud Watch Role
  • Monitoring EC2 with Custom Metrics
  • Monitoring EBS
  • Monitoring RDS
  • Monitoring ELB
  • Monitoring Elastic Cache
  • Centralized Monitoring Servers
  • Consolidated Billing
  • Billing & Alerts
  • Cost optimization
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  • Basic computer knowledge
  • Fundamental knowledge about GCP
  • Passion for learning
  • Basic knowledge about developing cloud solutions

You can complete the Google Cloud Architect training course in 35-45 days

You will learn from an experienced Google Cloud Architect

You can earn around ₹4,00,000 – ₹38,00,00 PA after completing the Google Cloud Architect training program

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  • - Build an Impressive Resume
  • - Get Tips from Trainer to Clear Interviews
  • - Attend Mock-Up Interviews with Experts
  • - Get Interviews & Get Hired
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Google Professional Cloud Architect (GCP)

Google Professional Cloud Architect Exam enables organizations to leverage Google Cloud technologies. With a thorough understanding of cloud architecture and Google Cloud Platform, this individual can design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.


Multiple Choice and Multi-Response Questions


Cloud Architect


$200 (plus Taxes as applicable)


120 Minutes

No of Questions

60 Questions

Passing Score

70% and above

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