From Model to Inference
From Model Training to Deployment
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
From Model Training to Deployment
From Model Training to Deployment
Published
Aug 2026
ID:
MD-L02
Status:
Scaffolded for chapter-by-chapter development
Theme:
Select and test a deployment candidate
This chapter will train and evaluate the classification pipeline used throughout the guide.
Setting Up the Environment
Saving and Loading Model Pipelines