Google Cloud
Professional Machine Learning Engineer
Production ML engineering on a major cloud
A professional credential on building, productionizing, and monitoring machine learning solutions on Google Cloud.
Who it suits
Suits ML practitioners who deploy models on a cloud platform rather than in a SAS analytics environment.
Key differences
- It emphasizes engineering and operations of ML on a cloud platform, whereas the SAS credential covers modeling methods in SAS Viya.
- It does not cover forecasting, optimization, or computer vision as separate topics in the way the SAS credential does.
- It is tied to Google Cloud, while the SAS one is tied to SAS.
- Level
- Professional
- Assessment
- Written
- Study time
- 90-150h
- Listed from
- $200

