GCP Security Engineer Course

A structured GCP Security Engineer course covering identity, data protection, network security, workload security, operations and compliance, with linked practice questions.

Level: Google Cloud Professional Cloud Security Engineer Difficulty: advanced 5 lessons 60 min
Course progress 0 / 5
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What you will learn

  • Describe identity and access management.
  • Explain data protection.
  • Describe network security.
  • Explain workload and container security.
  • Describe security operations and compliance.

Before you start

  • Basic Google Cloud knowledge is helpful.
  • Some networking and container concepts are recommended.
  • No previous Google certification is required.

Lesson 1 Identity and Access Management

The Google Cloud Professional Cloud Security Engineer exam validates designing and operating secure workloads on Google Cloud. Identity and access management is the foundation. Cloud IAM controls permissions with roles, service accounts identify workloads, and custom roles define precise permissions. Organization policies enforce constraints, workload identity federation connects external identities, and Identity-Aware Proxy controls access by identity and context. Cloud Identity manages users and devices, groups simplify role assignment, and least privilege limits access. Security engineers design a clear resource hierarchy and protect identities.

Example

Example: A team uses IAM roles, service accounts for workloads, IAP for web apps, and organization policies to enforce MFA and constraints.

Lesson 2 Data Protection

Data protection secures data at rest, in transit, and in use. Cloud KMS manages encryption keys, customer-managed keys give organizations control, and key rotation reduces risk. Cloud DLP discovers and protects sensitive data, Secret Manager stores secrets, and retention policies control data lifecycle. Encryption at rest protects stored data, encryption in transit uses TLS, and data access logs record reads and writes. Security engineers classify data, apply encryption, control keys, and monitor data access.

Example

Example: A healthcare platform uses CMEK, DLP to redact PHI, Secret Manager for credentials, and data access logs for monitoring.

Lesson 3 Network Security

Network security protects traffic and connectivity. Firewall rules filter traffic, Cloud Armor provides WAF and DDoS protection, and VPC peering connects networks privately. Private Google Access keeps API traffic private, Cloud NAT provides outbound access, and Shared VPC centralizes administration. Packet mirroring sends traffic to security tools, VPC Service Controls creates service perimeters, and Private Service Connect provides private access to managed services. Engineers use segmentation, private connectivity, and monitoring.

Example

Example: A web app uses Cloud Armor, VPC Service Controls, Private Google Access, and firewall rules to protect public and private traffic.

Lesson 4 Workload and Container Security

Workload and container security protects compute and Kubernetes resources. GKE hardening applies secure cluster settings, Binary Authorization signs container images, and Container Analysis scans for vulnerabilities. Workload Identity maps Kubernetes service accounts to Google service accounts, Shielded VMs enforce boot integrity, and Confidential VMs protect data in use. OS patch management applies updates, namespaces isolate resources, and private clusters avoid public node IPs. Engineers secure images, identities, and compute.

Example

Example: A GKE cluster uses Binary Authorization, Container Analysis, Workload Identity, private nodes, and namespaces for isolation.

Lesson 5 Security Operations and Compliance

Security operations and compliance keep the environment observable and governed. Security Command Center aggregates findings, Cloud Logging stores logs, Cloud Monitoring collects metrics, and Event Threat Detection analyzes logs for threats. Audit logs record admin and data activity, alerting policies notify teams, and vulnerability scans find weaknesses. Compliance frameworks, resource hierarchy, data residency, Assured Workloads, Access Transparency, quotas, labels, and compliance reports support governance. Engineers monitor, respond, and document controls.

Example

Example: A team uses SCC for findings, Cloud Logging and Monitoring for observability, Event Threat Detection for alerts, and compliance reports for audits.