02 - ML Pipelines with CI/CD: GitHub Actions and Docker

Complete guide to ML Pipelines with CI/CD: GitHub Actions and Docker: architecture, practical implementation and best practices for developers and technical teams.

What you'll learn

• The Three ML Artifacts
• Continuous Training: The Key Concept
• Base Images for ML
• Multi-Stage Dockerfile for Training and Serving
• Layer Cache Optimization

This article is part of the MLOps series on federicocalo.dev.

Read the full article

The complete article (17 min read) with code examples, diagrams, and practical exercises is available here:

➡️ 02 - ML Pipelines with CI/CD: GitHub Actions and Docker

https://federicocalo.dev/en/blog/ml-pipelines-cicd-github-actions-docker

By Federico Calò — Software Developer & Technical Writer