Exam-prep for the Google Cloud Professional Machine Learning Engineer certification, built on the exam's domains and Google Cloud's Vertex AI platform. It covers choosing the right level of abstraction (pre-trained APIs, BigQuery ML, AutoML, custom training); data and feature management (Vertex datasets, Feature Store, Dataflow, preventing training/serving skew); developing and training at scale (frameworks, distributed strategies, GPU/TPU, hyperparameter tuning with Vizier, and the right metrics); deployment and serving (online vs batch prediction, Vertex Endpoints, traffic splitting, and optimization/edge); and MLOps (Vertex AI Pipelines with Kubeflow/TFX, CI/CD, continuous training, Model Registry, Model Monitoring for drift/skew, Explainable AI, and responsible AI). Every domain has plain-language lessons, concept tables, scenario exercises that mirror the exam's 'choose the best solution' style, knowledge checks, a randomized mastery check, a full-length mock, and a spaced-repetition flashcard deck. Free.
0.00 USD
Create a free account to preview lessons. Browse all courses.