Model Evaluation and Conditional Deployment – Gatekeeper Logic

With your model training automated in SageMaker, the next critical step in the MLOps pipeline is model evaluation. This phase acts as the gatekeeper—ensuring that only models which outperform the current production version get promoted and deployed. In this part, you’ll write an evaluation script, store evaluation metrics, and integrate automated decision logic into your pipeline using AWS Lambda or CodeBuild. The goal is to automate judgment while retaining control over quality.