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

Adapter size

Topic in 2 exam domains

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Adapter size · Concept · tuning hyperparameter
adapter size · Limit · Translation LLM V2

A hyperparameter determining the number of trainable parameters in a model tuning job.

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

Adapter size

Topic in 2 exam domains

X LinkedIn Facebook Reddit

Adapter size · Concept · tuning hyperparameter
adapter size · Limit · Translation LLM V2

A hyperparameter determining the number of trainable parameters in a model tuning job.

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