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GOOGLE CLOUD PROFESSIONAL ( GCP)

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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The Syllabus

Curriculum Designed by Experts

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
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
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)
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)

 
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)
      •  
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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    Course completion certificate and Global Certifications are part of our all Master Program

    Skills Covered

    • Google Cloud Fundamentals

    • Cloud Architecture and Infrastructure

    • Networking

    • Storage Solutions

    • Identity and Security Management

    • Data Management and Databases

    • DevOps and Automation

    • Monitoring and Logging

    • Machine Learning and AI

    • Cost Management and Optimization

    • Application Development and Deploymen

    tool covered

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    Why Enroll for Google Cloud Platform (GCP)?

    In-Demand Skills

    Enrolling in a Google Cloud Professional Course equips you with in-demand skills like cloud architecture, machine learning, and security. This certification validates your expertise, making you job-ready for roles in cloud engineering and data analysis, with hands-on training for practical experience.

    Career Opportunities

    With Google Cloud Professional Course Training, you gain the skills needed for cloud adoption, mastering cloud infrastructure, data management, and security. Certification proves your ability to drive cloud initiatives, making you a key player in businesses embracing digital transformation.

    Cloud Adoption

    With the rise of cloud adoption, mastering Salesforce Testing has become essential. A Salesforce Testing course provides skills in cloud-based CRM testing, ensuring data accuracy, security, and functionality. Certification enhances your expertise, in line with the rising need for cloud computing solutions and opening new career paths in cloud technology.

    Scalability and Flexibility

    Enhance your career with our Google Cloud Professional Course Training. Learn about scalability and flexibility in cloud architecture, empowering businesses to grow effortlessly. Why enroll? Gain hands-on expertise and unlock new opportunities with Google Cloud Professional Certification.

    Cost Management

    Master cost management with our Google Cloud Professional Course Training. Learn to optimize cloud spending, control resources efficiently, and maximize ROI. Why enroll? Gain expert skills in cost-saving strategies and advance your career with Google Cloud Professional Certification training.

    Security and Compliance

    Enhance your knowledge of security and compliance with our Google Cloud Professional Course Training. Learn about cloud data security and follow industry guidelines. Why enroll? Build critical skills in cloud security and boost your career with Google Cloud Professional Certification.

    Course benefits

    • In-Demand Skills

    • Certification Recognition

    • Higher Earning Potential

    • Career Advancement

    • Hands-on Experience

    • Enhanced Problem-Solving

    • Scalability and Efficiency

    • Improved Security Knowledge

    • Networking Opportunities

    • Future-Proofing Your Career

    Who Can Apply for Red Hat Linux

    Why Google Cloud Platform (GCP) ?

    Scalability

    Unlock the full potential of scalability with our Google Cloud Professional Course Training. Learn to design flexible cloud infrastructures that adapt and grow with business needs. Why enroll? Master cloud scalability and enhance your career with Google Cloud Professional Certification training.

    Flexibility

    Master flexibility in cloud solutions with our Google Cloud Professional Course Training. Learn to adapt cloud resources to changing business demands. Why enroll? Acquire key skills in cloud flexibility and advance your career with Google Cloud Professional Certification training.

    Hybrid Capabilities

    Unlock powerful hybrid capabilities with our Google Cloud Professional Course Training. Learn to seamlessly integrate cloud and on-premise systems for optimal performance. Why enroll? Gain hands-on expertise in managing hybrid environments and boost your career with Google Cloud Professional Certification training.

    Security and Compliance

    Master security and compliance with our Google Cloud Professional Course Training. Learn how to adhere to legal requirements and protect cloud data. Why enroll? Gain critical skills in cloud security management and elevate your career with Google Cloud Professional Certification training.

    Cost-Effectiveness

    Achieve cost-effectiveness with GOOGLE CLOUD PROFESSIONAL course training. Learn to optimize cloud solutions, reducing operational costs while enhancing efficiency. his certification equips you with skills to design, manage, and secure scalable cloud infrastructures, providing it a smart financial investment for your career advancement.

    Innovation

    Drive innovation with GOOGLE CLOUD PROFESSIONAL course training. Master cutting-edge cloud tools to create scalable, efficient solutions. This certification empowers you to design advanced infrastructures and leverage Google's latest technologies, helping you stay ahead in the evolving cloud landscape.

    Global Certification

    • Professional Cloud Architect with Google Cloud Certification

    • Certified Professional Data Engineer on Google Cloud

    • Experienced Cloud Developer with Google Cloud Computing Certification

    • Certified Cloud Network Engineer in Google Cloud Certification

    • Professional Cloud Security Engineer with Google Cloud Certification

    • Registered Certified Collaboration Engineer by Google Cloud Computing

    • Professional Machine Learning Engineer, Google Cloud Certified

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    At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalized resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career. Join us and let your journey to a successful future begin with the right support.

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    Red Hat Linux Course Projects

    Infrastructure Provisioning

    And Configuration Management

    Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles. 

    software-developer

    Applications Deployment

    And Orchestration

    Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible

    Continuous Integration

    And Continuous Deployment

    Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.