Professional Cloud Architect

Best Professional Cloud Architect Training Institute in Coimbatore.

Nux software Training & Certification Solutions in Coimbatore is offering top-notch Professional Cloud Architect training courses. With excellent and advanced programs, industry-expert trainers, and a conducive training center environment, it’s evident that they prioritize providing a high-quality learning experience. The accessibility of labs 24/7 from anywhere adds to the convenience and flexibility of the training. 

The presence of international expert trainers with real-time industry experience enhances the overall educational value. The emphasis on innovative learning methods and flexibility in training programs demonstrates an understanding of individual needs and career aspirations. It seems like an ideal place for professional, individual, corporate, live project, and industrial training, promising significant career growth

It’s impressive to note that the Professional Cloud Architect certification has earned recognition as one of the top-paying IT certifications by Global Knowledge. This program not only equips individuals with the skills essential for progressing in their careers as professional cloud architects but also offers recommended training to aid in preparation for the industry-recognized Google Cloud Professional Cloud Architect certification. This dual focus on skill development and certification preparation underscores the program’s commitment to providing a comprehensive and valuable learning experience.

The Professional Cloud Architect certification offers a unique opportunity to deploy solution elements, encompassing infrastructure components like networks, systems, and application services. The hands-on Qwiklabs projects provide a real-world experience, allowing individuals to gain practical insights into implementing and managing various aspects of cloud solutions. This practical approach ensures that certification holders not only possess theoretical knowledge but also have hands-on expertise in deploying and managing essential elements in cloud architecture.

Upon successfully completing the program, you’ll receive a certificate of completion. This certification serves as a valuable credential to share with your professional network and potential employers, showcasing your proficiency and achievement in the Professional Cloud Architect program. It’s a tangible acknowledgment of the skills and knowledge you’ve gained throughout the certification process.

Becoming Google Cloud certified and showcasing your expertise in cloud architecture and Google Cloud Platform involves registering for and successfully passing the official Google Cloud certification exam. For more details on registration and additional resources to support your preparation, you can find comprehensive information at NexTech IT Training & Certification Solutions. They offer the necessary guidance and resources to help you navigate the certification process and demonstrate your proficiency in designing, developing, and managing solutions to drive business objectives.

Course Syllabus

Professional Cloud Architect Syllabus

  • Designing and planning a cloud solution architecture
  • 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


    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


    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


    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


    5. Envisioning future solution improvements. Considerations include:


    Cloud and technology improvements


    Evolution of business needs


    Evangelism and advocacy


  • Managing and provisioning a solution Infrastructure
  • 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. 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


    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


  • Designing for security and compliance
  • 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


    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
  • 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


    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)


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


  • Managing implementation
  • 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


    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
  • 1. Monitoring/logging/profiling/alerting solution


    2. Deployment and release management


    3. Assisting with the support of deployed solutions


    4. Evaluating quality control measures