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

Epochs

Topic in 2 exam domains

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Also called: epochCount

The number of complete passes the model makes over the entire training dataset during supervised fine-tuning.

Where this appears on the exam

2 objectives in 2 of 6 domains

Domain 1
Architecting low-code AI solutions
~13% of exam
1. 1.1Developing ML models using BigQuery ML or AutoML on Gemini Enterprise Agent Platform
  - Fine-tuning Gemini models using BigQuery
Domain 3
Scaling prototypes into ML models
~21% of exam
1. 3.2Training models

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

Epochs

Topic in 2 exam domains

X LinkedIn Facebook Reddit

Also called: epochCount

The number of complete passes the model makes over the entire training dataset during supervised fine-tuning.

Where this appears on the exam

2 objectives in 2 of 6 domains

Domain 1
Architecting low-code AI solutions
~13% of exam
1. 1.1Developing ML models using BigQuery ML or AutoML on Gemini Enterprise Agent Platform
  - Fine-tuning Gemini models using BigQuery
Domain 3
Scaling prototypes into ML models
~21% of exam
1. 3.2Training models

How learners score on this topic

Last updated October 16, 2026