Program profile · official sources
Professional Machine Learning Engineer
Google Cloud's Professional Machine Learning Engineer certification assesses conventional and generative-AI engineering on Google Cloud, from low-code architecture and cross-team data management to model serving, pipelines and monitoring. It is a separate proctored exam, not the Google Skills preparation path. Google states no formal prerequisites but recommends three or more years of industry experience, including at least one year designing and managing Google Cloud solutions. The two-hour assessment has 50–60 questions; this is not a preparation-time estimate or a direct coding-skills test. Registration is USD 200 plus applicable tax, with preparation and repeat attempts separate. Choose it for experienced Google Cloud engineering assessment, and plan for the credential's two-year validity and renewal requirements.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
- Price
- USD 200USD 200 for one certification exam registration/attempt, plus applicable tax. Optional preparation and repeat-attempt costs are separate. Currency is explicitly stated by the first-party Spanish localization.
- Duration
- 2 hours for the exam assessmentnot preparation time
- Level
- Professional
- Format
- Proctored certification exam
- Credential
- industry certification
- Prerequisites
- None formally. Recommended: 3+ years of industry experience, including at least 1 year designing and managing solutions with Google Cloud.
Sources ↗
- Price — https://cloud.google.com/learn/certification/machine-learning-engineer?hl=es
- Duration — https://cloud.google.com/learn/certification/machine-learning-engineer
- Official program page — https://cloud.google.com/learn/certification/machine-learning-engineer
- Credential details — https://www.skills.google/paths/17?locale=en
- Credential details — https://support.google.com/cloud-certification/answer/9438208
- Credential details — https://support.google.com/cloud-certification/answer/9907853
- Credential details — https://support.google.com/cloud-certification/answer/9908350
What’s covered
- Architect low-code AI solutions
- Collaborate within and across teams to manage data and models
- Scale prototypes into ML models
- Serve and scale models
- Automate and orchestrate ML pipelines
- Monitor AI solutions
Prerequisites: None formally. Recommended: 3+ years of industry experience, including at least 1 year designing and managing solutions with Google Cloud.
Is this the Google Skills learning path or the certification exam?
This record covers the separate Professional Machine Learning Engineer certification exam. Google Skills path 17 is a preparation learning path with courses, labs and skill badges, and points learners toward that exam. Completing the path is not the same as registering for, taking or passing the certification assessment. Choose the path when you need structured preparation, and assess the exam separately against your existing Google Cloud engineering experience and the published assessed capabilities.
What does the Google Cloud Professional Machine Learning Engineer exam cost?
The first-party Spanish exam page explicitly states USD 200 plus applicable tax for registration. This covers one certification exam attempt, not the entire cost of learning or a promise of passing. Optional preparation and repeat-attempt costs are separate. Google describes a renewal discount code for certified candidates, but that does not establish an unconditional fixed future renewal fee. Confirm the current booking terms and any additional preparation you need before paying.
What experience, study time and credential maintenance should I plan for?
Google lists no formal prerequisites but recommends at least three years of industry experience, including one year designing and managing Google Cloud solutions. The two-hour assessment and 50–60 questions are not preparation-hour estimates. The exam does not directly assess coding skill, although Python and SQL snippet interpretation matters. Certification is valid for two years. Review the current exam-based renewal window and requirements; the limited period allowing renewal after inactivity does not keep an expired credential active.
What you actually do
- Architect low-code AI solutions — Exam domain / not a course module; no preparation duration stated. · Source
- Collaborate within and across teams to manage data and models — Exam domain / not a course module; no preparation duration stated. · Source
- Scale prototypes into ML models — Exam domain / not a course module; no preparation duration stated. · Source
- Serve and scale models — Exam domain / not a course module; no preparation duration stated. · Source
- Automate and orchestrate ML pipelines — Exam domain / not a course module; no preparation duration stated. · Source
- Monitor AI solutions — Exam domain / not a course module; no preparation duration stated. · Source
What the credential is
- Credential type
- industry certification · Source
- Credential
- Professional Machine Learning Engineer · Source Source Source Source Source Source
- Issuer
- Google Cloud · Source Source Source Source Source Source
- Sharing
- Digital badge and certificate for social-media sharing; verified credentials can be managed and shared in the Google Cloud Credential Wallet. · Source
- Expiry and renewal
- 2 years from certification. Renewal eligibility begins 60 days before expiration; renewal remains possible up to 30 days after the inactive date, not an extension of active status. Renewal by the applicable exam adds two years. · Source Source
- Exam requirement
- Pass the certification exam; the reviewed sources do not state the passing-score threshold. · Source Source Source Source Source Source
Total cost to finish
Estimate for the stated payment scope: USD 200 × 1 = USD 200.
- One certification exam attempt: USD 200 × 1 = USD 200. One exam registration/attempt, plus applicable tax; not complete preparation cost or a guarantee of passing. · Source
Scope: Optional preparation and repeat-attempt costs are separate. Total learning cost is unknown. · Source
Retakes: Repeat attempts are separate; no fixed retake fee is established in the reviewed sources. · Source
Who should skip it
- The exam does not directly assess coding skill; interpreting Python and SQL snippets is not a hands-on coding-performance test. · Source
- This is the certification exam, not Google Skills path 17. Completing that preparation learning path is not the same as registering for, taking or passing the separate exam. · Source
Alternatives in the registry
Related by topic or level.
- AWS Certified AI Practitioner (AIF-C01) — USD 100 (One initial exam attempt; check applicable regional pricing and taxes. Optional preparation and retakes are not included.); 90 minutes (exam only; not preparation time).
- AI Fundamentals — Check official price; Approximately 9 hours.
- Introduction to Generative AI — Check official price; 45 minutes.
Change log
- : Initial recorded review of the distinct Google Cloud certification exam, including explicit USD evidence from the first-party Spanish page. · Source