Google Cloud Certification Guide 2026: The Next Cloud After AWS

For readers who have already worked their way through the AWS certification ladder, Google Cloud is the natural “second cloud” to learn. This guide lays out the whole Google Cloud certification landscape — its level structure, the specs of the key exams, and how each credential maps to its AWS counterpart — and condenses the path to your first two foundational certificates into a single roadmap.
If you want the side-by-side view across the big three clouds first, our earlier comparison of AWS, Azure, and GCP certifications is a useful map. And if you would rather relearn the underlying cloud concepts, our cloud computing fundamentals guide makes a solid foundation.
- Why Google Cloud now — choosing GCP as your second cloud
- The big picture — three levels and two code-free certifications
- Mapping to AWS certifications — what carries over, what differs
- Mapping AWS services to Google Cloud — same idea, new name
- Cloud Digital Leader — the cloud literacy exam in six domains
- Generative AI Leader — a gen-AI credential built for non-engineers
- Fees, validity, and registration — the practical differences from AWS
- A one-week plan to bring both foundational certs into range
- Choosing study resources — start with the official free path
- Three things AWS veterans stumble on
- Conclusion — the shortest route to your second cloud
- References
Why Google Cloud now — choosing GCP as your second cloud
Once you have stacked AWS credentials from Foundational up to Associate, you hit a fork: go deeper into AWS, or widen out to another cloud. Picking Google Cloud as your second is a deliberate, defensible choice. The core mental model of cloud — identity, compute, storage, networking, managed databases — transfers almost entirely, so your second cloud takes far less time than your first.
Google Cloud also carries a distinct design philosophy. Born from search, data analytics, and AI, it puts the BigQuery data warehouse and an AI platform at the center of the stack. That orientation shows up throughout the product set, and it is exactly the area where the market is moving fastest.
The big picture — three levels and two code-free certifications
Google Cloud certifications are organized into three broad levels. Foundational tests the concepts and value of cloud and Google Cloud products without any hands-on implementation; the only credential here is Cloud Digital Leader. Associate tests practical deploy, monitor, and operate skills. Professional tests advanced design, implementation, and management skills.
The three levels also double as a learning order. Decide how far you actually want to go before you start, and you avoid wasted exams. Two of these credentials — Cloud Digital Leader and Generative AI Leader — require no coding at all, which makes them an ideal on-ramp.
Mapping to AWS certifications — what carries over, what differs
The fastest way to orient yourself is to line each GCP exam up against the AWS credential you already know. The levels mostly correspond, but the domain boundaries are drawn differently — GCP routes design work straight to the Professional tier rather than the Associate level.
| AWS certification | Closest GCP certification | Level match | Note |
|---|---|---|---|
| CLF-C02 Cloud Practitioner | Cloud Digital Leader | Foundational to Foundational | Almost identical entry-level positioning |
| AIF-C01 AI Practitioner | Generative AI Leader | Entry AI to entry AI | GCP side is non-technical and gen-AI focused |
| SAA-C03 Solutions Architect Associate | Associate Cloud Engineer | Close level, different scope | GCP design lives in Professional Cloud Architect |
| MLA-C01 Machine Learning Engineer | Professional Machine Learning Engineer | One tier higher | GCP has no Associate-level ML exam |
| SAP-C02 Solutions Architect Professional | Professional Cloud Architect | Professional to Professional | The top design credential |
| DEA-C01 Data Engineer | Professional Data Engineer | One tier higher | GCP data work also goes straight to Professional |
Mapping AWS services to Google Cloud — same idea, new name
Most service names change, but the concepts behind them do not. Memorize this small translation table and a large share of the exam content becomes familiar at a glance.
| AWS | Google Cloud | Role |
|---|---|---|
| IAM | Cloud IAM | Access control and permissions |
| Amazon S3 | Cloud Storage | Object storage |
| Amazon EC2 | Compute Engine | Virtual machines |
| AWS Lambda | Cloud Functions | Serverless functions |
| Amazon RDS | Cloud SQL | Managed relational database |
| Amazon DynamoDB | Firestore / Bigtable | NoSQL data stores |
| Amazon Redshift | BigQuery | Data warehouse |
| Amazon SageMaker | Vertex AI / Gemini Enterprise Agent Platform | Managed ML and AI platform |
Cloud Digital Leader — the cloud literacy exam in six domains
Cloud Digital Leader (CDL) is the single Foundational credential. It checks whether you understand cloud and Google Cloud products at a business level, with no implementation required.
| Item | Spec |
|---|---|
| Level | Foundational |
| Duration | 90 minutes |
| Questions | 50-60 (multiple choice) |
| Fee | USD 99 (plus tax) |
| Validity | 3 years |
| Delivery | Online-proctored / test center |
| Prerequisites | None |
The exam spans six domains: digital transformation, data transformation, AI and machine learning, infrastructure and application modernization, trust and security, and scaling operations. Google publishes approximate weightings on its official exam guide, so plan your study time in proportion.
Generative AI Leader — a gen-AI credential built for non-engineers
Generative AI Leader targets people who shape AI strategy rather than write code. It assesses your ability to plan, oversee, and manage generative AI projects on Google Cloud, and it is open to any role with or without hands-on experience.
| Item | Spec |
|---|---|
| Duration | 90 minutes |
| Questions | 50-60 (multiple choice) |
| Fee | USD 99 (plus tax) |
| Validity | 3 years |
| Delivery | Online-proctored / test center |
| Prerequisites | None |
Its four domains carry roughly these weights: fundamentals of generative AI (~30%), Google Cloud’s generative AI offerings (~35%), techniques to improve model output (~20%), and business strategy for a successful gen-AI solution (~15%). The heavy emphasis on Google Cloud’s own offerings is the part AWS veterans must study fresh.
Fees, validity, and registration — the practical differences from AWS
Before you book an exam, note how Google’s operational rules differ from AWS. Pricing is flat and predictable: Cloud Digital Leader and Generative AI Leader are USD 99 each, Associate Cloud Engineer is USD 125, and every Professional-level exam is USD 200. Unlike AWS, Google does not publish a yen list price, so even when you sit the exam from Japan you are billed in US dollars. At roughly 160 yen to the dollar in June 2026, that works out to about 15,800 yen, 20,000 yen, and 32,000 yen respectively — and a weaker yen raises your real cost.
Validity is three years across the board. One more difference matters: Google does not publish an explicit passing score. Where AWS states a clear bar such as 720 out of 1000, Google keeps the cutoff undisclosed, so aim comfortably above a simple majority on practice tests rather than chasing a fixed number.
A one-week plan to bring both foundational certs into range
Cloud Digital Leader and Generative AI Leader both have no prerequisites, run 90 minutes, cost USD 99, and overlap heavily in scope. That overlap is the opportunity: study them together and you can bring both within reach in about a week. Spend the first few days on CDL’s six domains, then layer Generative AI Leader’s gen-AI specifics on top, since much of the cloud-fundamentals material is shared.
Choosing study resources — start with the official free path
A two-stage approach is enough to reach a passing margin: build the skeleton with Google’s free official training, then finish with practice questions. Google Cloud Skills Boost hosts the official learning paths for both exams at no cost, and the official sample questions calibrate you to the real wording. Reserve paid material for targeted weak-point repair rather than as your primary track.
Three things AWS veterans stumble on
First, product names: the concept is familiar but the GCP name is not, and the exam asks by name, so the translation table above is worth memorizing. Second, the data and AI bias: Google leans harder on BigQuery and its AI platform than AWS exams do, so do not under-study those areas. Third, the undisclosed passing score and dollar billing change how you plan — practice to a comfortable margin and budget for currency risk.
Conclusion — the shortest route to your second cloud
If you already hold AWS credentials, the two code-free Google Cloud foundational exams are the fastest way to make your skills multi-cloud. Map what you know to the GCP equivalent, fill the data-and-AI gaps, and you can add two recognized certificates in a single focused week — a strong base before stepping up to Associate Cloud Engineer and the Professional tier.
References
Google Cloud official certification pages (Cloud Digital Leader, Generative AI Leader, Associate Cloud Engineer), Google Cloud Skills Boost learning paths, and the official exam guides for domain weightings and pricing.





