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

Execution

Topic in 1 exam domain

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Execution · Concept
execution · Concept

A metadata entity representing a step in an ML workflow.

Where this appears on the exam

1 subdomain in 1 of 6 domains

Domain 5
Automating and orchestrating ML pipelines
~18% of exam
1. 5.1Developing end-to-end ML pipelines
  - Building and orchestrating pipelines using managed or unmanaged services and from templates or custom solutions (e.g., Agent Platform Pipelines, Managed Service for Apache Airflow, and Ray on Gemini Enterprise Agent Platform)

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

Execution

Topic in 1 exam domain

X LinkedIn Facebook Reddit

Execution · Concept
execution · Concept

A metadata entity representing a step in an ML workflow.

Where this appears on the exam

1 subdomain in 1 of 6 domains

Domain 5
Automating and orchestrating ML pipelines
~18% of exam
1. 5.1Developing end-to-end ML pipelines
  - Building and orchestrating pipelines using managed or unmanaged services and from templates or custom solutions (e.g., Agent Platform Pipelines, Managed Service for Apache Airflow, and Ray on Gemini Enterprise Agent Platform)

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

Part of

Depends on

Configured by

Works with

How learners score on this topic