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GCA+ GCP COMBO

GCA+ GCP COMBO ONLINE TRAINING

  1. Google Cloud Associate (GCA): This certification is designed for individuals who are new to Google Cloud and want to establish a foundational understanding of its core services and capabilities.
  2. Google Cloud Professional (GCP): This refers to one of the more advanced Google Cloud certifications, such as the Professional Cloud Architect (PCA), Professional Data Engineer (PDE), or other specialized professional-level certifications.
4203 Satisfied Learners

BEST GCA+ GCP COMBO  TRAINING IN PUNE | ONLINE

Duration of Training  :  50 hrs

Batch type  :  Weekdays/Weekends

Mode of Training  :  Classroom/Online/Corporate Training

 

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10+ Years Real Time Experienced Trainers

Learn from Industry Experts, Hands-on labs

Flexible Options: online, instructor-led, self-paced

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Associate Cloud Engineer & GCP

  • Setting up a Google Cloud Environment:
    • Creating and managing projects and billing accounts.
    • Enabling and disabling services.
    • Managing access control using IAM (Identity and Access Management).
  • GCP Computing:
    • Understanding Google Compute Engine (GCE) and deploying virtual machines.
    • Autoscaling and load balancing.
    • Working with containers and Kubernetes Engine.
  • GCP Storage Services:
    • Understanding and using Google Cloud Storage.
    • Deploying and managing Cloud SQL and Cloud Spanner databases.
    • Working with Cloud Firestore and Firebase Realtime Database.
  • GCP Networking:
    • Setting up Virtual Private Cloud (VPC) networks.
    • Configuring firewall rules.
    • Implementing VPNs and Interconnect.
  • GCP Identity and Access Management:
    • Managing IAM roles and permissions.
    • Securing service accounts.
    • Configuring resource-level permissions.
  • GCP Deployment and Monitoring:
    • Deploying applications using Cloud Deployment Manager and Google Kubernetes Engine.
    • Configuring monitoring and logging with Stackdriver (now called Google Cloud Operations).
  • GCP Services:
    • Understanding various GCP services like Cloud Pub/Sub, Cloud Functions, and Cloud Run.
    • Integrating services to build scalable and reliable applications.
  • GCP Security:
    • Securing GCP resources using IAM, Cloud Identity-Aware Proxy (IAP), and other security features.
    • Managing encryption and key management.
  • GCP Pricing and Cost Management:
    • Understanding GCP pricing models.
    • Managing and optimizing GCP costs.
    • Setting up billing alerts and budgets.
  • Troubleshooting and Diagnostics:
    • Identifying and resolving common issues.
    • Using monitoring and logging tools to diagnose problems

GCP

COURSE CONTENT :

 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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