CI/CD
Automated build, test, and deploy pipelines for ML and software.
Maturity level: L2 — Can 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
Connected skills
Explore CI/CD in the interactive universe or train with live cohorts.
Want this CI/CD learning path turned into your own plan?
A roadmap shows the destination. In 1:1 mentorship I turn it into a week-by-week learning path for your background, review your projects, and prepare you for interviews until you land the role. Online, in your time zone.
Start with one 60-minute 1:1 call: .
Prefer a structured live course? Join the MLOps · AIOps · LLMOps · Agentic AI masterclass →