Google Cloud Professional Machine Learning Engineer
Issued by Google Cloud. Below is what it costs, how long it lasts, and what it actually signals — with the date we checked.
Google Cloud Professional Machine Learning Engineer
Google Cloud · Professional ML Engineer
Free to learn · paid certificate Recognized
| Cost | $200 Plus tax where applicable. Printed on Google's own exam page. |
|---|---|
| Validity | 3 years. |
| Renewal | Renew within the eligibility period before expiry; Google publishes shorter renewal exams for its certifications. |
| Assessment | Proctored exam — two hours, 50–60 multiple-choice and multiple-select questions, online- or onsite-proctored |
| Proctored | Yes |
| Verify via | unknown |
| Cost per active year | $67/yr200 ÷ 3 |
Google's role-mapped ML credential. Recommended experience is 3+ years in industry including 1+ year on Google Cloud — the credential assumes you are already working.
Prerequisites are formally None, but Google's own recommended experience is 3+ years in industry. Passing this without that background is possible and unusual; it is not an entry-level route into AI work.
Verified 2026-07-26 · Official page
How we know
Fee, duration, format, delivery method and prerequisites read verbatim from Google's official exam page 2026-07-26. "Registration fee : $200 (plus tax where applicable)", "Prerequisites : None".
Last verified 2026-07-26 · https://cloud.google.com/learn/certification/machine-learning-engineer
Free preparation
Free resources first. Everything below is free to use; the exam itself is the paid part.
Hugging Face LLM Course
Free to learn · no certificate
Transformers, fine-tuning, datasets and tokenizers, hands-on. Hugging Face states it is "completely free and without ads". IMPORTANT: their FAQ says plainly "Currently we do not have any certification for this course" — their separate Agents Course does certify, this one does not. Widely-copied listings get this wrong.
Verified 2026-07-26
Anthropic's educational courses (open source)
Free to learn · no certificate
Anthropic's own course repository covering API fundamentals, prompt engineering and evaluation. Free and openly licensed on GitHub; no certificate.
Verified 2026-07-26
vLLM quickstart — serving an LLM at scale
Free to learn · no certificate
Serving is the part that separates a demo from a product. NOTE THE URL: docs.vllm.ai/en/latest/ serves developer-PREVIEW docs and says so on the page — this is the stable release path.
Verified 2026-07-26
Hugging Face learning hub
Free to learn · free certificate
Free courses across LLMs, agents, computer vision and reinforcement learning. Several are project-gated: the certificate is earned by shipping work to the Hub, which doubles as portfolio evidence.
Verified 2026-07-26
Google Cloud Professional ML Engineer exam guide and learning path
Free to learn · paid certificate
The official exam guide is free to read and is the clearest published statement of what the industry expects this role to know.
Verified 2026-07-26
Used by these roles
- LLM Engineer — You build applications on top of large language models — retrieval, agents, evaluation and serving.
- Machine Learning Engineer — You take models from a notebook to something that runs reliably in production, and keep it working.