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, 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.
Facts checked 3 Oct 2026
- Price
- USD 200
- USD 200 for one certification exam registration/attempt. Optional preparation and repeat-attempt costs are separate. Currency is explicitly stated by the first-party Spanish localization.
- Provider link
See price and enroll at Google Cloud (official site) ↗
Official site. No commission.
- Time
- 2 hours for the exam assessment; not preparation time
- Level
- Professional
- Credential
- industry certification
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.
- Prerequisites
- None formally. Recommended: 3+ years of industry experience, including at least 1 year designing and managing solutions with Google Cloud.
- Format
- Proctored certification exam
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
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
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See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
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 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 · cloud.google.com / machine-learning-engineer
- Credential
- Professional Machine Learning Engineer · cloud.google.com / machine-learning-engineer cloud.google.com / machine-learning-engineer www.skills.google / 17 support.google.com / 9438208 support.google.com / 9907853 support.google.com / 9908350
- Issuer
- Google Cloud · cloud.google.com / machine-learning-engineer cloud.google.com / machine-learning-engineer www.skills.google / 17 support.google.com / 9438208 support.google.com / 9907853 support.google.com / 9908350
- Sharing
- Digital badge and certificate for social-media sharing; verified credentials can be managed and shared in the Google Cloud Credential Wallet. · support.google.com / 9908350
- 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. · support.google.com / 9438208 support.google.com / 9907853
- Exam requirement
- Pass the certification exam; the reviewed sources do not state the passing-score threshold. · cloud.google.com / machine-learning-engineer cloud.google.com / machine-learning-engineer www.skills.google / 17 support.google.com / 9438208 support.google.com / 9907853 support.google.com / 9908350
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; 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. · Official source · 2026-10-03
- 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. · Official source · 2026-10-03
Alternatives in the registry
Programs from other providers, a comparison and a guide.
- AWS Certified Machine Learning - Specialty (Amazon Web Services)
- Microsoft Certified: Azure Data Scientist Associate (Exam DP-100) (Microsoft Learn)
- Comparison: Google Professional ML Engineer vs AWS MLA-C01: different clouds and experience levels
- Guide: Vendor AI Certifications Compared: AWS, Google Cloud, NVIDIA, and Microsoft
Change log
Visitor answers
My certification has expired. What happens now?
You need to take an exam to get certified again. The route depends on how long it has been since your certification's inactive date. Google's Certification Renewal Options FAQ, as shown in the United States on 14 October 2026, gives these two cases:
"If you are less than 30 days past your certification's inactive date, you can renew and retain your Series ID. Please refer to the exam page for renewal details."
"If you are more than 30 days past your certification's inactive date, your certification is no longer valid. You must take the standard exam and pay the full list price of the standard exam. However, once you recertify, you can have your original Series ID back!"
The same FAQ says: "Your certification can be renewed up to 30 days after your certification's inactive date." That renewal window does not keep an expired certification active: this page's credential details, checked 3 October 2026, describe it as "not an extension of active status".
The Professional Machine Learning Engineer exam page directs candidates to those Renewal FAQs. Google's table for other professional certifications lists continuing education as "Not Available - Coming soon" and a shorter renewal exam as "NO".
Check your certification's inactive date before choosing the exam route. If you are past the renewal window, use the standard exam and check the registration-fee line on the Professional Machine Learning Engineer exam page before booking.