Learning Path

Professional Cloud Architect Path

Master cloud architecture on Google Cloud — from solution design and infrastructure provisioning to security, compliance, and operational excellence. 6 deep-dive study guides mapped to all 6 exam sections.

01

Designing and Planning a Cloud Solution Architecture

The highest-weighted exam section. Master business and technical requirements gathering, the Well-Architected Framework, compute/storage/network design, migration planning, and AI/ML solution architecture with Gemini, Agent Builder, and Model Garden.

11 min readNotebook
Business RequirementsWell-Architected FrameworkCompute & Network DesignMigration PlanningAI/ML Solutions
02

Managing and Provisioning Cloud Infrastructure

Deep dive into network topologies, storage systems, compute platforms, Vertex AI ML workflows, and prebuilt AI solutions. Learn to configure and manage GCP infrastructure at scale.

8 min readNotebook
Network TopologiesStorage SystemsCompute PlatformsVertex AI WorkflowsPrebuilt AI APIs
03

Designing for Security and Compliance

Master IAM, resource hierarchy, encryption strategies, VPC Service Controls, Model Armor, Identity-Aware Proxy, and compliance frameworks including HIPAA, SOC 2, and data sovereignty.

8 min readNotebook
IAM & Resource HierarchyEncryption & Cloud KMSVPC Service ControlsModel Armor & IAPCompliance Frameworks
04

Analyzing and Optimizing Processes

Master SDLC best practices, CI/CD pipeline design, disaster recovery planning, stakeholder management, and cost optimization strategies for cloud architectures.

6 min readNotebook
SDLC & CI/CDDisaster RecoveryCost OptimizationStakeholder Management
05

Managing Implementation

Deployment strategies, API management with Apigee, testing frameworks, Gemini Cloud Assist, Cloud SDKs, and Infrastructure as Code with Terraform.

6 min readNotebook
Terraform & IaCApigee API ManagementDeployment StrategiesGemini Cloud AssistCloud SDKs
06

Ensuring Solution and Operations Excellence

Well-Architected Framework operational excellence, observability (monitoring, logging, alerting), deployment and release management, reliability engineering, chaos engineering, and load testing.

8 min readNotebook
ObservabilitySRE PrinciplesChaos EngineeringRelease ManagementLoad Testing