GCP-Google Cloud Certified Professional Cloud Architect Training

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Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
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GCP-Google Cloud Certified Professional Cloud Architect Training Course Overview

The Google Cloud Certified Architect Training is designed to help professionals gain deep expertise in designing, developing, and managing secure, scalable, and highly available cloud solutions on Google Cloud Platform (GCP). This course focuses on real-world architectural design principles, best practices, and hands-on implementation strategies aligned with Google’s Professional Cloud Architect certification.

Learners will understand how to architect cloud-native applications, manage infrastructure, optimize costs, ensure security and compliance, and design solutions that meet business and technical requirements. The training emphasizes end-to-end solution design, from requirement analysis to deployment and optimization on GCP.

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.

 

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GCP-Google Cloud Certified Professional Cloud Architect Training Course curriculum

Curriculum Designed by Experts

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The Google Cloud Certified Architect Training is designed to help professionals gain deep expertise in designing, developing, and managing secure, scalable, and highly available cloud solutions on Google Cloud Platform (GCP). This course focuses on real-world architectural design principles, best practices, and hands-on implementation strategies aligned with Google’s Professional Cloud Architect certification.

Learners will understand how to architect cloud-native applications, manage infrastructure, optimize costs, ensure security and compliance, and design solutions that meet business and technical requirements. The training emphasizes end-to-end solution design, from requirement analysis to deployment and optimization on GCP.

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.

 

  • 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

Course Prerequisite

To get the most value from this training, learners should have:

  • Basic understanding of cloud computing concepts
  • Familiarity with networking fundamentals (VPCs, subnets, firewalls)
  • Working knowledge of Linux or system administration
  • Basic understanding of application development or IT infrastructure
  • Prior experience with any cloud platform (AWS, Azure, or GCP) is beneficial but not mandatory

Course Target Audience

By the end of this training, learners will be able to:

  • Design scalable, reliable, and secure cloud architectures on GCP
  • Choose appropriate Google Cloud services for compute, storage, networking, and databases
  • Architect solutions that meet business, security, and compliance requirements
  • Implement cost-optimized and high-availability cloud solutions
  • Manage deployments, monitoring, and performance optimization on GCP
  • Prepare confidently for the Google Cloud Professional Architect certification exam

Course Content

1.1 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, modify, or deprecate
  •  Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
  •  Compliance and observability

1.2 Designing a solution infrastructure that meets technical requirements. Considerations include:

  •  High availability and failover design
  •  Elasticity of cloud resources with respect to quotas and limits
  •  Scalability to meet growth requirements
  •  Performance and latency

1.3 Designing network, storage, and compute resources. Considerations include:

  •  Integration with on-premises/multicloud environments
  •  Cloud-native networking (VPC, peering, firewalls, container networking)
  •  Choosing data processing technologies
  •  Choosing appropriate storage types (e.g., object, file, databases)
  •  Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
  •  Mapping compute needs to platform products

1.4 Creating a migration plan (i.e., documents and architectural diagrams). Considerations include:

  •  Integrating solutions with existing systems
  •  Migrating systems and data to support the solution
  •  Software license mapping
  •  Network planning
  •  Testing and proofs of concept
  •  Dependency management planning

1.5 Envisioning future solution improvements. Considerations include:

  •  Cloud and technology improvements
  •  Evolution of business needs
  •  Evangelism and advocacy

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2.1 Configuring network topologies. Considerations include:

  •  Extending to on-premises environments (hybrid networking)
  •  Extending to a multicloud environment that may include Google Cloud to Google Cloud communication
  •  Security protection (e.g. intrusion protection, access control, firewalls)

2.2 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 planning

2.3 Configuring compute systems. Considerations include:

  •  Compute resource provisioning
  •  Compute volatility configuration (preemptible vs. standard)
  •  Network configuration for compute resources (Google Compute Engine, Google Kubernetes Engine, serverless networking)
  •  Infrastructure orchestration, resource configuration, and patch management
  •  Container orchestration

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3.1 Designing for security. Considerations include:

  •  Identity and access management (IAM)
  •  Resource hierarchy (organizations, folders, projects)
  •  Data security (key management, encryption, secret management)
  •  Separation of duties (SoD)
  •  Security controls (e.g., auditing, VPC Service Controls, context aware access, organization policy)
  •  Managing customer-managed encryption keys with Cloud Key Management Service
  •  Remote access

3.2 Designing for compliance. Considerations include:

  •  Legislation (e.g., health record privacy, children’s 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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4.1 Analyzing and defining technical processes. Considerations include:

  •  Software development life cycle (SDLC)
  •  Continuous integration / continuous deployment
  •  Troubleshooting / root cause analysis best practices
  •  Testing and validation of software and infrastructure
  •  Service catalog and provisioning
  •  Business continuity and disaster recovery

4.2 Analyzing and defining business processes. Considerations include:

  •  Stakeholder management (e.g. influencing and facilitation)
  •  Change management
  •  Team assessment / skills readiness
  •  Decision-making processes
  •  Customer success management
  •  Cost optimization / resource optimization (capex / opex)

4.3 Developing procedures to ensure reliability of solutions in production (e.g., chaos engineering, penetration testing)


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5.1 Advising development/operation teams to ensure successful deployment of the solution. Considerations include:

  •  Application development
  •  API best practices
  •  Testing frameworks (load/unit/integration)
  •  Data and system migration and management tooling

5.2 Interacting with Google Cloud programmatically. Considerations include:

  •  Google Cloud Shell
  •  Google Cloud SDK (gcloud, gsutil and bq)
  •  Cloud Emulators (e.g. Cloud Bigtable, Datastore, Spanner, Pub/Sub, Firestore)

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6.1 Monitoring/logging/profiling/alerting solution

6.2 Deployment and release management

6.3 Assisting with the support of deployed solutions

6.4 Evaluating quality control measures


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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 :

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GCP Architect Corporate Training

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GCP-Google Cloud Certified Professional Cloud Architect Training FAQ's

Google Cloud Certified Architect Training prepares professionals to design, develop, and manage secure, scalable, and highly available solutions on Google Cloud Platform (GCP). The training aligns with Google’s Professional Cloud Architect certification and focuses on real-world architecture scenarios.

This training is ideal for cloud architects, solution architects, DevOps engineers, system administrators, IT professionals, and anyone planning to pursue the Google Professional Cloud Architect certification.

A basic understanding of cloud computing, networking concepts, and IT infrastructure is recommended. Prior experience with any cloud platform (AWS, Azure, or GCP) is helpful but not mandatory.

After completing the training, you will be able to design secure and scalable cloud architectures, select appropriate GCP services, optimize performance and cost, implement security best practices, and manage cloud deployments effectively.

Yes. The training includes practical demonstrations, real-world architectural use cases, and hands-on labs to help learners apply concepts confidently in real project environments.

After completing this training, professionals can pursue roles such as Cloud Architect, Solution Architect, DevOps Engineer, Cloud Engineer, and IT Infrastructure Architect across various industries.

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