Data Science Model Deployments and Cloud Computing on GCP - Introduction to Kubeflow

The video introduces Cube Flow, a service on Google Cloud for machine learning deployment, emphasizing its integration with Kubernetes. It explains Cube Flow Pipelines, which help visualize ML workflows, and details the components involved, such as DSL pipelines and the DSL compiler. The video assures that Kubernetes expertise is not required and highlights the abstraction of underlying resources. The upcoming video will focus on implementing Vertex AI Pipelines.

What are the components of a Cube Flow pipeline?

How does the DSL compiler function in Cube Flow?