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Model packaging order

As we move into more advanced topics in MLOps, it's important to understand the process of packaging an ML model for deployment in a production environment. This involves a series of critical steps that must be followed in a specific order to ensure the model is deployed successfully. In this exercise, we'll test your knowledge of these steps to see if you're ready to take on the challenges of deploying models in a production environment!

This exercise is part of the course

Developing Machine Learning Models for Production

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