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

containers

Topic in 1 exam domain

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containers · Concept
Containers · Concept

Also called: container deployments

Application workloads packaged and executed within a container runtime environment.

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
  - Packaging and serving models from different frameworks (e.g., PyTorch and XGBoost) using prebuilt and custom containers

How learners score on this topic

Last updated November 2, 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

containers

Topic in 1 exam domain

X LinkedIn Facebook Reddit

containers · Concept
Containers · Concept

Also called: container deployments

Application workloads packaged and executed within a container runtime environment.

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
  - Packaging and serving models from different frameworks (e.g., PyTorch and XGBoost) using prebuilt and custom containers

How learners score on this topic

Last updated November 2, 2026

Where this appears on the exam

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How learners score on this topic

Where this appears on the exam

Related topics

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Works with

How learners score on this topic