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Google Cloud Professional (GCP) refers to a set of certifications offered by Google Cloud that validate an individual’s expertise and skills in various aspects of cloud computing and Google Cloud services. These certifications are designed for IT professionals, cloud architects, and developers who want to demonstrate their knowledge and proficiency in working with Google Cloud Platform (GCP).

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Duration of Training  :  40 hrs

Batch type  :  Weekdays/Weekends

Mode of Training  :  Classroom/Online/Corporate Training


Google Cloud Professional (GCP) Training & Certification in Pune

Highly Experienced Certified Trainer with 10+ yrs Exp. in Industry

Realtime Projects, Scenarios & Assignments



 1. Designing and planning a cloud solution architecture :

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/multi-cloud 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

2. Managing and provisioning a solution infrastructure :

2.1 Configuring network topologies

Considerations include :

  • Extending to on-premises environments (hybrid networking)
  • Extending to a multi-cloud 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, server less networking)
  • Infrastructure orchestration, resource configuration, and patch management
  • Container orchestration

3. Designing for security and compliance :

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)

4. Analyzing and optimizing technical and business processes :

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)

5. Managing implementation :

5.1 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 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)

6. Ensuring solution and operations reliability :

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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