Google Cloud Professional Machine Learning Engineer

Validates ability to build, evaluate, productionize, and optimize AI solutions using Google Cloud capabilities and knowledge of conventional ML approaches. Covers architecting low-code AI solutions with BigQuery ML, ML APIs, and AutoML; collaborating to manage data and models with preprocessing, Jupyter notebooks, and experiment tracking; scaling prototypes into ML models including building, training, and hardware selection; serving and scaling models with batch/online inference and model registry; automating and orchestrating ML pipelines with Vertex AI Pipelines and CI/CD; and monitoring AI solutions for risks, drift, and responsible AI practices. 50-60 multiple-choice and multiple-select questions in 2 hours. Recommended 3+ years industry experience; 2-year validity.