Data Science Model Deployments and Cloud Computing on GCP - Lab - Model Training Flow Using Python SDK

The video tutorial guides viewers through the process of mold deployment using Vertex Training Endpoint Deployment SDK. It explains the separation of scripts for model training and deployment for clarity, and demonstrates how to execute these scripts in a Jupyter Notebook. The tutorial includes setting up folders and terminals, executing scripts, handling errors, and running model predictions. The next steps involve Docker image creation and deployment to a local endpoint.

What new insight or understanding did you gain from this video?