CI/CD Pipelines for Machine Learning Models in MLOps and Production AI
CI/CD in Machine Learning
Continuous Integration and Continuous Deployment ensure safe and automated model updates.
CI for ML
- Code testing
- Data validation checks
- Model performance benchmarking
CD for ML
- Containerization using Docker
- Automated deployment
- Rollback support
Continuous Training (CT)
Unlike traditional apps, ML requires automated retraining when new data arrives.
CI/CD pipelines reduce human error and accelerate AI delivery cycles.
