From Model to Inference
Building a Reliable Inference Workflow
Model Deployment
index.html
Orientation
Preface
Setting Up the Environment
From Model to Inference
From Model Training to Deployment
Saving and Loading Model Pipelines
Building a Reliable Inference Workflow
Serving and Testing Predictions
Serving Predictions with FastAPI
Validation, Errors, and API Testing
Containers and Operations
Containerizing the Application
Deployment Monitoring and Maintenance
Case Study
End-to-End Deployment Case Study
Appendices
Appendix
References
From Model to Inference
Building a Reliable Inference Workflow
Building a Reliable Inference Workflow
Published
Aug 2026
ID:
MD-L04
Status:
Scaffolded for chapter-by-chapter development
Theme:
Make prediction inputs and outputs explicit
This chapter will build a repeatable batch-inference workflow around the saved pipeline.
Saving and Loading Model Pipelines
Serving Predictions with FastAPI