Design, Build & Manage Enterprise-Grade Cloud Solutions

The Google Professional Cloud Architect course is designed for IT professionals, cloud engineers, system administrators, developers, architects, and experienced technology professionals who want to develop advanced skills in designing and managing solutions on Google Cloud.

This course focuses on real-world cloud architecture and helps students understand how to design secure, scalable, highly available, reliable, and cost-effective cloud solutions that align with business and technical requirements.

Students will explore Google Cloud infrastructure, networking, compute, storage, databases, security, migration, application modernization, monitoring, reliability, and cost optimization. The course also provides structured preparation for the Google Cloud Professional Cloud Architect certification exam.

What You Will Learn

  • Design scalable and highly available Google Cloud architectures
  • Translate business requirements into technical cloud solutions
  • Select appropriate Google Cloud compute, storage, database, and networking services
  • Design hybrid and multicloud architectures
  • Plan cloud migration and application modernization
  • Implement security and identity controls
  • Design solutions for compliance and data protection
  • Optimize cloud infrastructure for performance and cost
  • Apply the Google Cloud Well-Architected Framework
  • Design reliable and resilient production environments
  • Monitor, troubleshoot, and optimize cloud solutions
  • Manage cloud architecture implementations
  • Prepare for the Professional Cloud Architect certification exam

Course Modules

Module 1 – Google Cloud Architecture Fundamentals

  • Introduction to Google Cloud architecture
  • Cloud architecture principles
  • Google Cloud global infrastructure
  • Regions and zones
  • Resource hierarchy
  • Organizations, folders, and projects
  • Google Cloud Well-Architected Framework
  • Architectural trade-offs
  • Business and technical requirements
  • Cost, performance, scalability, and reliability considerations

Module 2 – Designing Cloud Solution Architectures

  • Translating business requirements into cloud architectures
  • Application architecture
  • Multi-tier applications
  • Distributed systems
  • Microservices concepts
  • Scalability and elasticity
  • High availability
  • Fault tolerance
  • Performance and latency
  • Capacity planning
  • Cost optimization
  • Designing for business continuity
  • Architecture documentation and diagrams

Module 3 – Compute & Application Platforms

  • Compute Engine
  • Google Kubernetes Engine (GKE)
  • Cloud Run
  • Cloud Functions
  • Serverless architecture
  • Containers and container orchestration
  • Choosing the appropriate compute platform
  • Machine types and workload requirements
  • Autoscaling
  • Load balancing
  • Compute resource optimization
  • Application modernization

Module 4 – Google Cloud Networking

  • Virtual Private Cloud (VPC)
  • Subnets and IP addressing
  • Routes and firewall rules
  • VPC peering
  • Shared VPC
  • Cloud Load Balancing
  • Cloud DNS
  • Cloud NAT
  • Network security
  • Hybrid connectivity
  • Cloud VPN
  • Cloud Interconnect
  • Designing multicloud connectivity
  • Network architecture for high availability

Module 5 – Storage & Database Architecture

  • Google Cloud storage concepts
  • Cloud Storage
  • Storage classes
  • Data lifecycle management
  • Persistent Disk
  • Filestore
  • Cloud SQL
  • AlloyDB
  • Firestore
  • Bigtable
  • Spanner
  • BigQuery
  • SQL vs. NoSQL architectures
  • Choosing appropriate storage solutions
  • Data availability and consistency
  • Backup and recovery
  • Data growth and lifecycle planning

Module 6 – Security & Identity Architecture

  • Google Cloud Identity and Access Management (IAM)
  • Roles and permissions
  • Service accounts
  • Principle of least privilege
  • Resource hierarchy and access control
  • Organization policies
  • Security architecture
  • Data encryption
  • Cloud Key Management Service
  • Secret management
  • VPC Service Controls
  • Context-Aware Access
  • Security monitoring
  • Separation of duties
  • Secure remote access
  • Identity and access best practices

Module 7 – Compliance & Data Protection

  • Cloud compliance fundamentals
  • Data residency
  • Data privacy
  • Regulatory requirements
  • Sensitive data protection
  • Personally identifiable information (PII)
  • Audit requirements
  • Logging and audit trails
  • Encryption requirements
  • Data classification
  • Compliance architecture
  • Designing solutions around organizational and industry requirements

Module 8 – Cloud Migration & Modernization

  • Cloud migration strategies
  • Migration planning
  • Assessing existing infrastructure
  • Application dependencies
  • Data migration
  • Network migration planning
  • Hybrid cloud architecture
  • Multicloud considerations
  • Rehost, replatform, refactor, and modernization approaches
  • Migration testing
  • Proofs of concept
  • Migration risk management
  • Post-migration optimization

Module 9 – Application Development & Deployment

  • Software development lifecycle
  • Cloud-native application development
  • APIs and service integration
  • Continuous Integration and Continuous Deployment (CI/CD)
  • Cloud Build
  • Artifact Registry
  • Deployment strategies
  • Infrastructure as Code concepts
  • Testing and validation
  • Application release management
  • Google Cloud SDK
  • Cloud Shell
  • gcloud, gsutil, and bq tools

Module 10 – Reliability, Monitoring & Operations

  • Google Cloud observability
  • Cloud Monitoring
  • Cloud Logging
  • Error Reporting
  • Trace and profiling concepts
  • Metrics and alerting
  • Performance monitoring
  • Reliability engineering
  • Service health
  • Troubleshooting
  • Root cause analysis
  • Incident management
  • Production support
  • Disaster recovery
  • Business continuity
  • Chaos engineering concepts

Module 11 – Cost & Performance Optimization

  • Google Cloud pricing fundamentals
  • Cost management
  • Resource optimization
  • Capacity planning
  • Compute optimization
  • Storage optimization
  • Network cost considerations
  • Performance optimization
  • Autoscaling
  • Resource utilization
  • Cost-effective architecture
  • Balancing performance, reliability, and cost
  • Operational efficiency

Module 12 – Cloud Architecture Implementation

  • Managing implementation projects
  • Working with development and operations teams
  • Deployment planning
  • Application integration
  • Data and system migration
  • API integration
  • Cloud automation
  • Testing frameworks
  • Deployment validation
  • Release management
  • Architectural governance
  • Managing technical dependencies

Module 13 – Case Studies & Real-World Architecture

  • Business requirement analysis
  • Identifying technical constraints
  • Selecting appropriate Google Cloud services
  • Architecture decision-making
  • Cost and performance trade-offs
  • Security and compliance requirements
  • Migration scenarios
  • Hybrid and multicloud scenarios
  • High-availability architecture
  • Disaster recovery scenarios
  • Case-study-based architecture exercises

Module 14 – Professional Cloud Architect Certification Preparation

  • Complete review of exam domains
  • Google Cloud service identification
  • Architecture scenario analysis
  • Case-study preparation
  • Security and compliance review
  • Migration and modernization review
  • Reliability and optimization review
  • Practice questions
  • Scenario-based questions
  • Mock examinations
  • Exam strategies
  • Final certification preparation

Who Should Take This Course?

This course is ideal for:

  • Cloud architects
  • Cloud engineers
  • IT professionals
  • System administrators
  • Network engineers
  • Software developers
  • DevOps professionals
  • Infrastructure engineers
  • Technical project managers
  • Enterprise technology professionals
  • Professionals designing cloud migration strategies
  • Individuals preparing for the Google Cloud Professional Cloud Architect certification

Prerequisites

There are no formal prerequisites for taking the certification exam. However, this is an advanced professional-level course, so practical experience with cloud computing, networking, infrastructure, software development, or IT operations is strongly recommended.

Google recommends approximately three years of industry experience, including at least one year designing and managing solutions using Google Cloud, for candidates pursuing the Professional Cloud Architect certification.

Course Benefits

By completing this course, students will develop advanced knowledge of Google Cloud architecture and learn how to design solutions that balance business requirements with technical considerations.

Students will gain knowledge in:

  • Enterprise cloud architecture
  • Google Cloud infrastructure
  • Compute and application platforms
  • Networking
  • Storage and databases
  • Security and compliance
  • Cloud migration
  • Application modernization
  • DevOps and deployment
  • Reliability and disaster recovery
  • Monitoring and observability
  • Cost and performance optimization

The course also provides structured preparation for the Google Cloud Professional Cloud Architect certification exam.

Certification Exam Preparation

The training is designed around the major areas evaluated in the Professional Cloud Architect certification exam:

  • Designing and planning a cloud solution architecture
  • Managing and provisioning solution infrastructure
  • Designing for security and compliance
  • Analyzing and optimizing technical and business processes
  • Managing implementation
  • Ensuring solution and operations reliability

Google’s current standard exam is two hours and contains 50–60 multiple-choice and multiple-select questions. Each exam includes two case studies, with case-study questions representing approximately 20–30% of the exam.