← PMLE overviewProfessional Machine Learning Engineer / STUDY TOOLS
Exam coverage map
The current guide uses Gemini Enterprise Agent Platform terminology for capabilities previously associated with Vertex AI. Recognize both names in documentation; product availability and model versions vary by region.
Published objectives
| Objective |
Revision topic |
| 1.1 · BigQuery ML and AutoML |
01 Choose low-code, APIs or custom ML |
| 1.2 · AI APIs and foundation models |
01 Choose low-code, APIs or custom ML |
| 2.1 · Data and feature preparation |
02 Data, features and experiments |
| 2.2 · Notebook prototyping |
02 Data, features and experiments |
| 2.3 · Experiments and evaluation |
02 Data, features and experiments |
| 3.1 · Model and platform choice |
01 Choose low-code, APIs or custom ML |
| 3.2 · Training and tuning |
03 Training, tuning and accelerators |
| 3.3 · Training hardware |
03 Training, tuning and accelerators |
| 4.1 · Serving and rollout |
04 Serving, rollout and scale |
| 4.2 · Online serving scale |
04 Serving, rollout and scale |
| 5.1 · End-to-end pipelines |
05 Pipelines and continuous training |
| 5.2 · Continuous training |
05 Pipelines and continuous training |
| 6.1 · Security and responsible AI |
06 Monitor quality, safety and change |
| 6.2 · Monitoring and troubleshooting |
06 Monitor quality, safety and change |