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4. Model Deployment

4.1 Three ways of deploying a model

4.2 Web-services: Deploying models with Flask and Docker

See code here

4.3 Web-services: Getting the models from the model registry (MLflow)

See code here

4.4 (Optional) Streaming: Deploying models with Kinesis and Lambda

See code here

4.5 Batch: Preparing a scoring script

See code here

4.6 MLOps Zoomcamp 4.6 - Batch: Scheduling batch scoring jobs with Prefect

The unit 4.6 consists of multiple videos:

Old Video (2022 Edition)

4.7 Choosing the right way of deployment

COMING SOON

4.8 Homework

More information here.

Notes

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