CI/CD for Machine Learning

CI/CD pipelines automate testing, integration, and deployment of models:

• Continuous Integration (CI): Automatically test code, APIs, and model pipelines after each update.

   

• Continuous Deployment (CD): Deploy new models or updates automatically after passing tests.

Benefits:

• Faster updates and reduced human errors.

   

• Easier collaboration in team environments.

   

• Seamless deployment of new versions with minimal downtime.

   

Tools:

• Jenkins, GitHub Actions, GitLab CI/CD.

   

• ML-specific platforms like MLflow or Kubeflow Pipelines.