juniorMLOps
What is CI/CD in MLOps?
Updated May 17, 2026
Short answer
CI/CD automates testing, training, and deployment of ML models.
Deep explanation
Continuous Integration ensures code and pipeline changes are tested automatically. Continuous Deployment ensures models are deployed safely to production environments.
Real-world example
Automated retraining pipeline triggered after new data ingestion.
Common mistakes
- Skipping model validation in CI pipelines.
Follow-up questions
- How is ML CI/CD different?
- What tools are used?