This repository maintains hands-on labs and code samples that demonstrate best practices and patterns for implementing and operationalizing production grade machine learning workflows on Google Cloud Platform.

This repository is organized into two sections:

• Mini workshops
• Code samples

This section contains hands-on labs for instructor led ML Engineering mini workshops.

This section compiles samples demonstrating design and code patterns for a variety of ML Engineering topics.

WCHOY QUIKLAB Aug 22 @9:31PM EST.

steps:

• name: 'gcr.io/cloud-builders/docker' args: ['build', '-t', 'gcr.io/$PROJECT_ID/myimage', '.'] images: ['gcr.io/$PROJECT_ID/myimage']

Already have image (with digest): gcr.io/cloud-builders/docker invalid argument "gcr.io/qwiklabs-gcp-03-b9322d5eece0/lab-03-tfx-image:" for "-t, --tag" flag: invalid reference format See 'docker build --help'.