Google Cloud Certified Professional Machine Learning Engineer Prep
Low-code AI, data and model prototyping, scaling models, serving, and MLOps pipelines and monitoring on Vertex AI.
- Courses
- 8
- Ready now
- 0
This program follows the structure of a complete preparation course for the Google Cloud Certified Professional Machine Learning Engineer exam, following the current Google Cloud exam guide. Each course is free and earns a certificate of completion; courses marked "In development" show their planned lessons and open as they are written.
1. Start here
| Code | Course | Status |
|---|---|---|
| GCP-101 | Google Cloud Fundamentals: Core Infrastructure | In development |
| GCP-110 | Generative AI Fundamentals for Cloud Professionals | In development |
2. Build the knowledge
| Code | Course | Status |
|---|---|---|
| GCP-360 | Low-Code AI Solutions on Google Cloud | In development |
| GCP-361 | Data and Model Prototyping on Vertex AI | In development |
| GCP-362 | Scaling Prototypes into Production Models | In development |
| GCP-363 | Serving and Scaling Models | In development |
| GCP-364 | MLOps: Pipelines, Monitoring and Governance | In development |
3. Get exam-ready
| Code | Course | Status |
|---|---|---|
| GCP-396 | Professional Machine Learning Engineer Exam Readiness | In development |