Google Cloud
Professional Machine Learning Engineer
Professional-tier ML engineering on Google Cloud
Professional Machine Learning Engineer is the senior cloud-provider peer for people who build and productionize ML, going beyond foundational model development.
Who it suits
Suits ML practitioners with some production experience who want a recognized cloud-provider credential, or those already comfortable with Google Cloud.
Key differences
- It is a professional-tier exam covering scaling prototypes, serving, pipeline automation, and monitoring, which goes further than foundational model-development tasks.
- The environment is Google Cloud services instead of Databricks and MLflow, so experience tracking and registry habits do not map one to one.
- It expects broader engineering experience, so it fits later in a path than an associate-level platform credential.
- Level
- Professional
- Assessment
- Written
- Study time
- 90-150h
- Listed from
- $200

