Google Cloud Professional Machine Learning Engineer credential artwork

Google Cloud Professional Machine Learning Engineer (PMLE)

Validates skills in building, deploying, automating and monitoring machine learning and generative AI solutions on Google Cloud.

Summary

Professional Machine Learning Engineer is Google Cloud's certification for building, deploying and monitoring machine learning and generative AI solutions. It suits ML and data engineers who put models into production on Google Cloud, with classic ML, BigQuery ML and MLOps central alongside generative AI.

Good fit if

  • You build, deploy or monitor ML or generative AI on Google Cloud
  • You know ML fundamentals and can read Python and SQL
  • Job postings you target list Professional Machine Learning Engineer

Look elsewhere if

Salary & jobs

Prerequisites

No required prerequisites. Anyone 18 or older can book the exam.

3 years of industry experience

Recommended

Google recommends at least three years of industry experience, including one year or more designing and managing solutions on Google Cloud.

Basic Python and SQL

Recommended

Google says minimum proficiency in Python and SQL is enough to interpret the code snippets in questions.

Cost

USD · US pricing
$200
Tax is added where applicable. Each retake costs the full $200.

What holders say

Certification path

Renewal

Professional Machine Learning Engineer is valid for 2 years.

Validity
2 years
Renew by exam
Standard exam
Adds 2 years
Exam fee
$200 USD
50% renewal discount code issued when you certify

The renewal window opens 60 days before your certification expires, and you can renew up to 30 days after it. There is no shorter renewal exam or Google Skills route for this certification yet.

Google Cloud renewal options ↗

Alternatives

FAQ

How much does the Professional Machine Learning Engineer exam cost?

$200 plus tax. A retake costs the same. When you certify, Google gives you a 50% discount code for your renewal attempt.

What changed in the 2026 Professional Machine Learning Engineer exam?

The exam guide dated June 1, 2026 replaces Vertex AI names with Gemini Enterprise Agent Platform, adds more generative AI topics such as Model Garden, LLM evaluation and Model Armor, and favours Google Cloud native solutions.

How do you renew Professional Machine Learning Engineer?

Pass the standard exam again in the 60 days before your certification expires. That adds two years. There is no shorter renewal exam or Google Skills route for this certification yet.

Do you need to code for the Professional Machine Learning Engineer exam?

No. Google says the exam does not directly assess coding, but you should read Python and SQL well enough to understand code snippets in questions.

Last updated October 2026