Designing End-to-End ML CI/CD Pipeline Architecture: MLOps and Production AI Guide (2026)

Designing End-to-End ML CI/CD Pipeline Architecture in MLOps and Production AI

Intermediate Topic 2 of 9

End-to-End ML Pipeline Architecture

A robust ML CI/CD pipeline connects code, data, model training, testing, packaging, and deployment into one automated workflow.

Core Components

Source control repository
Automated build server
Model registry
Artifact storage
Deployment automation

Designing a clear architecture reduces manual intervention and deployment risks.

CI/CD for Machine Learning in MLOps Automated Data Validation in CI Pipelines

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