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Google Cloud Professional Cloud Architect
Bootcamp Certificate Track
Professional Level
€899 + €10/session
Design enterprise-grade Google Cloud architectures. Master advanced patterns for scalable, secure, and cost-optimized cloud solutions. Estimated effort: 100–140 hours.
🔗 Official Certification PageWho This Is For
- Senior cloud architects on GCP
- Engineers designing complex GCP solutions
What You'll Gain
- Advanced GCP architecture expertise
- Enterprise solution design capabilities
Full Curriculum Outline
Exam-aligned modules covering all Google Cloud Professional Cloud Architect certification domains
6-Week Bootcamp Curriculum
Comprehensive architecture training with hands-on labs and capstone project
Week 1 — Designing & Planning Cloud Solution Architecture
Skills Area: Section 1 (~25%)
What You'll Learn
- Translate business use cases into cloud architectures
- Identify functional and non-functional requirements
- Design for: Business continuity, Cost optimization, Security and compliance, Observability
- Support application architecture and external integrations
- Design data movement and integration patterns
- Evaluate design trade-offs and workload disposition strategies: Build, Buy, Modify, Deprecate
- Define success measurements: KPIs, ROI, Metrics
- Design for technical requirements: High availability and failover, Scalability and elasticity, Performance and latency, Backup and recovery
- Google Cloud Well-Architected Framework
- Design compute, storage, and networking: VPCs, firewalls, load balancers, routing, Shared VPC and Private Service Connect, GKE, Cloud Run, Cloud Run functions, Spot VMs, custom machine types
- Design AI/ML-enabled architectures: Gemini models, Model Garden, Agent Builder, AI Hypercomputer
Hands-On Labs
- Design a full Google Cloud reference architecture from business requirements
- Create architecture diagrams covering compute, storage, networking, and AI
- Perform trade-off analysis between GKE, Cloud Run, and VM-based designs
Week 2 — Migration Planning & Infrastructure Provisioning
Skills Area: Sections 1.4 + 2 (~17.5%)
What You'll Learn
- Create migration plans and architecture documents
- Integrate solutions with existing systems
- Assess workloads using Google Cloud Migration Center
- Plan migration methodologies: Rehosting, Replatforming, Refactoring
- Network and dependency planning
- License and financial impact analysis
- Configure network topologies: Hybrid connectivity, Multicloud connectivity, VPC design, Load balancing, Firewall rules
- Configure storage systems: Allocation and lifecycle, Retention and growth planning, Backup and recovery
- Configure compute systems: Compute Engine, GKE, Serverless, Patch and configuration management
Hands-On Labs
- Build a CAF-style migration plan for an enterprise workload
- Design hybrid networking with on-prem integration
- Provision compute and storage using infrastructure-as-code
Week 3 — AI, ML & Platform Services with Vertex AI
Skills Area: Sections 2.4 + 2.5
What You'll Learn
- Design end-to-end ML workflows with Vertex AI
- Use Vertex AI pipelines for ML lifecycle automation
- Integrate data pipelines for ML workloads
- Design AI workloads using: GPUs and TPUs, AI Hypercomputer
- Select AI consumption models
- Integrate prebuilt Google AI APIs: Vision, Speech, Video, Conversation
- Integrate Gemini Enterprise features: AI Agents, NotebookLM
- Use Model Garden models in production solutions
Hands-On Labs
- Design an ML reference architecture using Vertex AI
- Build an AI-enabled application architecture with Gemini APIs
- Design scalable ML training and serving workflows
Week 4 — Security, Identity & Compliance Architecture
Skills Area: Section 3 (~17.5%)
What You'll Learn
- Design IAM strategies and access controls
- Design resource hierarchy: Organizations, Folders, Projects
- Design data security: Encryption at rest and in transit, Secret management, Cloud KMS (CMEK), Separation of duties and least privilege
- Implement security controls: VPC Service Controls, Organization policies, Hierarchical firewall policies
- Secure remote access: Identity-Aware Proxy (IAP), Workload Identity Federation
- Secure software supply chains
- Secure AI workloads: Model Armor, Sensitive Data Protection
- Design for compliance: Regulatory, Industry certifications (SOC 2), Audit logging and reporting
Hands-On Labs
- Design a Zero Trust-aligned IAM architecture
- Implement CMEK-based encryption strategy
- Design compliance controls and audit logging architecture
Week 5 — Analyzing & Optimizing Technical and Business Processes
Skills Area: Section 4 (~15%)
What You'll Learn
- Analyze and optimize SDLC processes
- Design CI/CD pipelines for Google Cloud
- Troubleshooting and root cause analysis
- Testing and validation strategies
- Service catalog and provisioning design
- Disaster recovery strategy design
- Analyze business processes: Stakeholder management, Change management, Skills readiness, Decision-making models
- Optimize cost and resources: CapEx vs OpEx
- Design for business continuity
Hands-On Labs
- Design CI/CD pipelines for cloud workloads
- Analyze system performance and cost optimization scenarios
- Create DR and operational readiness plans
Week 6 — Implementation, Operations & Capstone
Skills Area: Sections 5 + 6 (~25%)
What You'll Learn
- Advise development and operations teams
- Design application and infrastructure deployment strategies
- API management best practices (Apigee)
- Migration tooling and testing frameworks
- Use Gemini Cloud Assist
- Programmatic interaction with Google Cloud: Cloud Shell, Cloud Code, gcloud, gsutil, bq
- Infrastructure as Code: Terraform
- Observability: Monitoring, Logging, Alerting, Profiling
- Release and deployment management
- Reliability engineering: Chaos engineering, Load testing, Penetration testing
Hands-On Labs
- Deploy infrastructure using Terraform
- Implement observability with Cloud Operations
- Design SRE-aligned operational dashboards
Capstone Project
- Design a full enterprise Google Cloud architecture covering: Business and technical requirements, Security and compliance, AI/ML integration, Migration, Operations and reliability
- Architecture defense and review session
Certification Outcome
By completing this bootcamp, learners will be able to:
- Design enterprise-grade Google Cloud architectures
- Align cloud solutions with business strategy
- Confidently sit the Professional Cloud Architect exam
- Operate at Senior Architect / Lead Cloud Architect level
Need a Custom Learning Path?
If you are new to cloud computing, we recommend starting with Cloud Foundation — Live Bootcamp before this program.
You can book a free consultation to receive a custom learning curriculum.
Ready to Start?
Join the bootcamp and begin your journey to Google Cloud Professional Cloud Architect certification