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

model artifacts

Topic in 3 exam domains

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Files representing a trained machine learning model that comply with prebuilt container requirements.

Where this appears on the exam

2 objectives 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
  - Developing solutions for inference preprocessing and postprocessing

How learners score on this topic

Last updated October 16, 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

model artifacts

Topic in 3 exam domains

X LinkedIn Facebook Reddit

Files representing a trained machine learning model that comply with prebuilt container requirements.

Where this appears on the exam

2 objectives 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
  - Developing solutions for inference preprocessing and postprocessing

How learners score on this topic

Last updated October 16, 2026