Data Science Model Deployments and Cloud Computing on GCP - Lab - Code Walkthrough Using Kubeflow and Python

The video tutorial explains how to create and trigger a Cueflow pipeline on Vertex AI. It covers the installation of necessary modules, defining variables, and setting up the pipeline root. The tutorial details the steps for fetching data, training a model using Random Forest, and deploying the model on Vertex AI. It concludes with defining and compiling the pipeline using DSL.

Describe the process of model training in the Cueflow pipeline.

What steps are involved in deploying the CC fraud model?

How does the pipeline compilation process work in the context of Cueflow?