Deploying AI Applications to Production
Introduction to Deploying AI Applications to Production
In the previous lessons, we focused on building AI applications professionally, adding safety controls, managing cost, and monitoring how the application behaves.
Now we are ready for the final step:
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We added logging, monitoring, and versioning.
And finally, we deployed the application so real users could access it.
The main lesson is that building the AI feature is only one part of building an AI application.
A production system also needs to be safe, efficient, observable, maintainable, and deployable.
Those practices are what turn an AI prototype into a real application.
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