Google AI Platform (Formerly Cloud ML Engine) Google Professional Data Engineer GCP

• used to train machine learning models at scale,
• to host trained model in the cloud,
• to use model to make predictions about new data.
• Machine Learning services by Google are
  • Machine Learning Engine
  • Cloud Vision API
  • Cloud Translation API
  • Cloud AutoML
  • BigQuery ML

services offered

• Prepare: use Cloud Storage or BigQuery to store data and use built-in data labeling service to label training data.
• Build and run: build ML applications on GCP with a managed Jupyter Notebook service providing fully configured environments
• Manage: can manage models, experiments, and end-to-end workflows using the AI Platform interface within the GCP console, or for on-premises using Kubeflow Pipelines.
• Share: discover ML pipelines, notebooks, and other AI content.