Seldon Core

Seldon Core is an open-source platform for deploying machine learning models on Kubernetes. It provides a framework to package, serve, monitor, and manage ML models at scale, supporting various model types and languages. It enables production-grade ML deployments with features like A/B testing, canary rollouts, and explainability.

Also known as: Seldon, SeldonCore, Seldon-Core, Seldon ML Platform, Seldon Core ML

Why learn Seldon Core?

Developers should learn Seldon Core when they need to operationalize ML models in Kubernetes environments, as it simplifies the deployment and management of complex ML workflows. It is particularly useful for scenarios requiring scalable serving, model versioning, and experimentation in production, such as real-time inference pipelines or multi-model serving systems.

Learning Resources

• docs: Seldon Core Documentation
• tutorial: Seldon Core Tutorial on GitHub
• video: Deploying ML Models with Seldon Core on YouTube
• course: Seldon Core: Machine Learning Deployment Course on Udemy