GCP Professional ML Engineer Reference Materials

Official Google Cloud certification overview with exam guide, sample questions, and registration links.

Complete documentation for Vertex AI — the unified ML platform covering AutoML, custom training, model serving, pipelines, and monitoring.

Official reference for BigQuery ML: supported model types, CREATE MODEL syntax, ML.PREDICT, ML.EVALUATE, and best practices.

Documentation for building, deploying, and automating ML pipelines using Kubeflow Pipelines SDK on Vertex AI.

Google's responsible AI framework documentation covering fairness, interpretability, privacy, and security in ML systems.

Official exam guide with all 6 domain areas, sub-skills, and recommended resources for each topic.

Google-curated learning path on Google Cloud Skills Boost covering all exam domains with hands-on labs.

Free sample chapters from 'Machine Learning Design Patterns' by Valliappa Lakshmanan et al. — covers production ML patterns tested on the exam.