Google Cloud
Professional Machine Learning Engineer
Production ML engineering on Google Cloud
Professional Machine Learning Engineer validates building, evaluating, productionizing, and monitoring ML and AI solutions on Google Cloud, a managed-cloud counterpart to OpenShift AI work.
Who it suits
Suits ML and AI engineers who run workloads on Google Cloud and want a professional-level written credential instead of an OpenShift lab-based one.
Key differences
- It is a written exam, whereas Red Hat's credential is performance-based hands-on work on OpenShift AI.
- Scope is the full ML lifecycle on Google Cloud services instead of AI workloads running on an OpenShift platform you operate yourself.
- You trade practical lab proof for a cloud-provider credential that centers on managed services.
- Level
- Professional
- Assessment
- Written
- Study time
- 90-150h
- Listed from
- $200
