August 2025
Intermediate to advanced
276 pages
6h 16m
English
Content preview from Hands-On MLOps on Azure
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5
Model Deployment: Batch Scoring and Real-Time Web Services
In Chapter 4, we explored the crucial steps of model registration and packaging, ensuring that your trained models are well-documented, versioned, and ready for deployment. With your models securely registered and their metadata meticulously tracked, the next logical step in the MLOps lifecycle is to serve these models in a production environment. This chapter will guide you through the process of model serving or deployment, enabling your models to deliver real-time predictions and drive business value.
Having successfully registered and packaged your ML models, you now possess well-managed and version-controlled artifacts ready for deployment. The journey from model creation to deployment ...
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