Google Cloud certification roadmap

A full Google Cloud certification path with source checks, labs, mock readiness, and portfolio evidence.

Use this roadmap to choose the next Google Cloud credential by role, then connect it to Daskerel lessons, hands-on lab evidence, mock-test remediation, and official provider pages.

10

Google Cloud credentials

3

roadmap stages

1

associate paths

7

advanced paths

Google Cloud exam booking tracker

Track target dates, booking status, badge proof, and renewals.

Saved Google Cloud exam plan

No Google Cloud exam booking records yet.

Quarterly Google Cloud source review workflow

Keep every Google Cloud claim current on a 90-day cadence.

Review

Open each official Google Cloud certification page and exam guide, then confirm status, level, and objective coverage.

Update

Refresh source dates, roadmap notes, readiness gates, lab focus, and retirement or rename notes.

Validate

Run curriculum checks, tests, build, and browser checks for Google Cloud roadmap, track cards, lab filters, and mock dashboard.

Record

Store reviewer, date, URLs, changes, and next review date in the content-quality audit queue.

Foundational

Foundational Google Cloud certification paths

2 credentials

CDL / Official source reviewed

Cloud Digital Leader

Exam guideGoogle Skills paths

Google Cloud foundations, cloud literacy, business transformation, support, and pre-sales

Readiness domain weighting

Digital transformation and cloud value25%
Google Cloud core infrastructure and data services30%
Security, operations, sustainability, and cost25%
Business decision-making and stakeholder tradeoffs20%

Lab focus

Mock bank target: 65 questions

  • Resource hierarchy
  • Service-family mapping
  • Billing and IAM
  • Business value and risk notes

Readiness gates

  • Foundation lessons complete
  • Google Cloud service map complete
  • Business value note approved
  • CDL mock domains passed

GenAI Leader / Official source reviewed

Generative AI Leader

Exam guideGoogle Skills paths

AI literacy, product leadership, business analysis, and AI-aware cloud decision-making

Readiness domain weighting

Generative AI concepts and business use cases28%
Model selection, prompting, grounding, and evaluation27%
Responsible AI, security, and governance25%
Implementation planning and operational readiness20%

Lab focus

Mock bank target: 65 questions

  • AI use-case framing
  • Prompt and grounding notes
  • Evaluation and risk
  • Human review and governance

Readiness gates

  • GenAI concepts complete
  • Responsible AI checklist complete
  • Use-case decision note approved
  • GenAI mock domains passed

Associate

Associate Google Cloud certification paths

1 credentials

ACE / Official source reviewed

Associate Cloud Engineer

Exam guideGoogle Skills paths

Cloud engineer, operations engineer, platform engineer, and support engineer

Recommended after: Cloud Digital Leader

Readiness domain weighting

Cloud projects, IAM, billing, and resource hierarchy25%
Compute, storage, networking, and managed services30%
Deployment, monitoring, logging, and operations25%
Security, troubleshooting, and cost controls20%

Lab focus

Mock bank target: 65 questions

  • Projects and IAM
  • Cloud Run or Compute Engine
  • Cloud Storage and Cloud SQL
  • Logging, Monitoring, and billing labels

Readiness gates

  • Engineer labs complete
  • IAM and project evidence captured
  • Operations evidence exported
  • ACE mock domains passed

Professional

Professional Google Cloud certification paths

7 credentials

PCA / Official source reviewed

Professional Cloud Architect

Exam guideGoogle Skills paths

Senior cloud architect, enterprise architect, migration architect, and technical leader

Recommended after: Associate Cloud Engineer

Readiness domain weighting

Business requirements, case studies, and solution design25%
Resource hierarchy, IAM, networking, and security25%
Data, application, reliability, and migration design30%
Operations, cost, governance, and executive tradeoffs20%

Lab focus

Mock bank target: 75 questions

  • Organization and folders
  • Shared VPC and IAM
  • Data and app architecture
  • Reliability, migration, and cost

Readiness gates

  • Professional architecture lab complete
  • Executive decision record complete
  • Failure-mode review complete
  • PCA mock domains passed

PCD / Official source reviewed

Professional Cloud Developer

Exam guideGoogle Skills paths

Cloud developer, backend engineer, API engineer, and application engineer

Recommended after: Associate Cloud Engineer

Readiness domain weighting

Application design, APIs, and service integration28%
Cloud Run, Functions, containers, and managed services27%
Security, service accounts, secrets, and IAM25%
Observability, performance, deployment, and rollback20%

Lab focus

Mock bank target: 65 questions

  • Cloud Run and Functions
  • Pub/Sub and APIs
  • Secret Manager and service accounts
  • Deployment and rollback

Readiness gates

  • Cloud app lab complete
  • Service account evidence captured
  • Logs and health checks captured
  • Developer mock domains passed

PDE / Official source reviewed

Professional Data Engineer

Exam guideGoogle Skills paths

Data engineer, analytics engineer, data platform engineer, and data architect

Readiness domain weighting

Data ingestion, storage, and transformation30%
BigQuery, Dataflow, Dataproc, and analytics serving25%
Security, governance, quality, and lineage20%
Monitoring, optimization, and operational support25%

Lab focus

Mock bank target: 65 questions

  • Cloud Storage data layout
  • BigQuery and Dataflow
  • Governance and quality
  • Lineage, monitoring, and cost

Readiness gates

  • Data pipeline lab complete
  • Quality and lineage evidence captured
  • Access and cost notes complete
  • Data mock domains passed

PCDOE / Official source reviewed

Professional Cloud DevOps Engineer

Exam guideGoogle Skills paths

DevOps engineer, SRE, platform engineer, release engineer, and operations lead

Recommended after: Associate Cloud Engineer

Readiness domain weighting

SLOs, observability, reliability, and incident response30%
CI/CD, release engineering, and deployment automation25%
Infrastructure, policy, security, and change control25%
Optimization, feedback loops, and continuous improvement20%

Lab focus

Mock bank target: 65 questions

  • Cloud Build
  • Monitoring and Logging
  • SLOs and alerts
  • Rollback, incident response, and postmortems

Readiness gates

  • Pipeline evidence complete
  • SLO and alert proof captured
  • Incident action record complete
  • DevOps mock domains passed

PCSE / Official source reviewed

Professional Cloud Security Engineer

Exam guideGoogle Skills paths

Cloud security engineer, DevSecOps engineer, security architect, and incident response lead

Recommended after: Associate Cloud Engineer

Readiness domain weighting

IAM, organization policy, and privileged access25%
Network, workload, data, and key protection25%
Detection, logging, audit, and response25%
Governance, compliance, and secure operations25%

Lab focus

Mock bank target: 65 questions

  • IAM and service accounts
  • Cloud KMS and secrets
  • Security Command Center-style findings
  • Audit logs and response notes

Readiness gates

  • Security baseline lab complete
  • Detection and audit evidence captured
  • Incident response note complete
  • Security mock domains passed

PCNE / Official source reviewed

Professional Cloud Network Engineer

Exam guideGoogle Skills paths

Cloud network engineer, hybrid networking specialist, infrastructure architect, and senior network engineer

Recommended after: Associate Cloud Engineer

Readiness domain weighting

VPC design, routing, DNS, and connectivity30%
Hybrid connectivity, shared VPC, and private access25%
Load balancing, edge, and application delivery20%
Network security, observability, and operations25%

Lab focus

Mock bank target: 65 questions

  • VPC routing
  • Shared VPC
  • Cloud DNS
  • Load balancing, firewall rules, VPN, and Interconnect patterns

Readiness gates

  • Advanced networking lab complete
  • Topology and route evidence captured
  • Failover evidence complete
  • Network mock domains passed

PMLE / Official source reviewed

Professional Machine Learning Engineer

Exam guideGoogle Skills paths

ML engineer, MLOps engineer, data scientist, backend developer, and AI platform engineer

Recommended after: Generative AI Leader, Professional Data Engineer

Readiness domain weighting

Data preparation, feature work, and model development28%
Vertex AI training, evaluation, and deployment27%
MLOps, monitoring, drift, and rollback25%
Responsible AI, security, privacy, and governance20%

Lab focus

Mock bank target: 65 questions

  • Data preparation
  • Training and evaluation
  • Model deployment
  • Monitoring, drift, rollback, and responsible AI

Readiness gates

  • ML workflow lab complete
  • Evaluation metrics captured
  • Drift and rollback plan complete
  • ML mock domains passed