Professional Machine Learning Engineer

Build, deploy, and monitor production ML and generative AI solutions on Gemini Enterprise Agent Platform, and track your readiness for the Professional Machine Learning Engineer exam.

Expert

Prepare and test your skills

Expert

Prepare and test your skills

Concept

SLOs

Topic in 1 exam domain

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Service Level Objectives defined on metrics to monitor system and application performance and availability.

Where this appears on the exam

1 subdomain in 1 of 6 domains

Domain 4
Serving and scaling models
~20% of exam
1. 4.1Serving models
  - Deploying models for batch and online inference using appropriate services (e.g., Agent Platform, Model Garden, Cloud Run, and GKE)

How learners score on this topic

Last updated November 1, 2026

Professional Machine Learning Engineer

Build, deploy, and monitor production ML and generative AI solutions on Gemini Enterprise Agent Platform, and track your readiness for the Professional Machine Learning Engineer exam.

Expert

Prepare and test your skills

Expert

Prepare and test your skills

Concept

SLOs

Topic in 1 exam domain

X LinkedIn Facebook Reddit

Service Level Objectives defined on metrics to monitor system and application performance and availability.

Where this appears on the exam

1 subdomain in 1 of 6 domains

Domain 4
Serving and scaling models
~20% of exam
1. 4.1Serving models
  - Deploying models for batch and online inference using appropriate services (e.g., Agent Platform, Model Garden, Cloud Run, and GKE)

How learners score on this topic

Last updated November 1, 2026

Where this appears on the exam

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How learners score on this topic

Where this appears on the exam

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How learners score on this topic