Google CloudProfessional
Google Cloud Professional Machine Learning Engineer
Shows you can design, build, ship and monitor machine learning and AI solutions on Google Cloud, including MLOps and responsible AI.
- Issuer
- Google Cloud
- Level
- Professional
- Exam format
- 50–60 multiple-choice and multiple-select questions · 2 hours
- Focus
- Machine learning engineering
- Who it is for
- Engineers with industry experience running ML in production.
- Before you start
- Google suggests 3+ years of industry experience, 1+ year designing and managing solutions on Google Cloud, and basic Python and SQL.
What the exam covers
Listed as the issuer lists them, with weights where the issuer publishes them.
- 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
Key terms to know
Words from this certification's topic areas, in plain English. Know these and the study material will be much easier to follow.
- Machine learning
- Software that learns patterns from examples instead of following hand-written rules.
- MLOps
- The practices for deploying, monitoring and updating machine learning models in production.
- Feature engineering
- Turning raw data into inputs that help a model learn.
- Model drift
- When a model gets worse over time because real-world data changes.
- Inference
- Running a trained model to get an answer.
- Prompt engineering
- Writing instructions so a model gives better answers.
- Responsible AI
- Building and using AI fairly, safely, transparently and with accountability.
- Gemini Enterprise Agent Platform
- Google Cloud's platform for building and running AI apps and agents (it was called Vertex AI before).
Build the knowledge here
Our lessons are not exam prep for this certification, but they cover the same ground.
Details last checked Oct 7, 2026 against the issuer's own pages. Exams, versions and rules change. Confirm on the official page before you book. We are not affiliated with Google Cloud.