MLOps Engineer

The journey

1. What you learn

   1. Packaging and serving models reliably
   2. Building training and deployment pipelines
   3. Monitoring models for drift and degradation
   4. Versioning data, models, and experiments

2. What you will understand

   1. Model packaging and serving
   2. Feature stores and reproducible pipelines
   3. Monitoring, drift, and retraining
   4. Experiment and model versioning

3. What you will build

   1. A serving pipeline with monitoring and a rollback path
   2. A reproducible training pipeline with versioned artifacts
4. 1. The proof you build

      Evidence that you can operationalize a model with serving, monitoring, versioning, and a safe path to update it.

      See how proof works