CI/CD

Automated build, test, and deploy pipelines for ML and software.

Maturity level: L2Can Build

Six perspectives on CI/CD

Roadmap

Learn after Git and Docker.

Architecture

Automation layer connecting code to production.

Company

Expected in DevOps, MLOps, and platform roles.

Projects

Automate every capstone deployment.

Interview

Pipeline design and ML-specific CI/CD.

Career

Core DevOps → MLOps bridge skill.

What & Why

What: Continuous integration and delivery pipelines automating software releases.

Why: ML models and AI services need automated, repeatable deployment.

Build this

CI/CD pipeline that trains, validates, and deploys a model.

Production reality

  • ! Flaky tests blocking deploys
  • ! Secret management
  • ! Pipeline drift

Interview preparation

  • CI/CD for ML vs traditional software
  • GitOps patterns

Explore CI/CD in the interactive universe or train with live cohorts.