Google Professional Machine Learning Engineer
Build, evaluate, productionize and optimize AI solutions on Google Cloud, covering both traditional ML and gen AI.
Last checked 2026-10-15 against the official sources listed below.
Exam at a glance
- Format
- 50-60 multiple choice and multiple select questions
- Length
- Two hours
- Cost
- $200 (plus tax where applicable)
- Delivery
- Online-proctored or onsite-proctored at a testing center
- Languages
- English, Japanese
- Passing score
- Not verified, left blank
- Validity
- Not verified, left blank
- Prerequisites
- None (recommended: 3+ years of industry experience, including 1+ year on Google Cloud)
Domains & weights
| Architecting low-code AI solutions | ~13% | |
| Collaborating within and across teams to manage data and models | ~16% | |
| Scaling prototypes into ML models | ~21% | |
| Serving and scaling models | ~20% | |
| Automating and orchestrating ML pipelines | ~18% | |
| Monitoring AI solutions | ~13% |
Recent changes
- Exam updated for the move from Vertex AI to Gemini Enterprise Agent Platform and for changes to Google Cloud’s data and analytics stack. It now favors Google Cloud native solutions.
Official discounts & vouchers
Google Career Launchpad
Launchpad vouchers cover the Associate Cloud Engineer, Cloud Digital Leader, Associate Data Practitioner and Generative AI Leader exams. We found no Launchpad voucher for this exam.
Source · checked 2026-10-15GEAR “Get Certified”
We could not confirm a PMLE track in the current GEAR Get Certified cohort.
Source · checked 2026-10-15Sources
- Official certification page (last checked 2026-10-15)
- Official exam guide (PDF) (last checked 2026-10-15)
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