From the course: Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications
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Deployment - Google Cloud Tutorial
From the course: Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications
Deployment
- [Presenter] So how you deploy an AI machine learning-based application is really functionally dependent on the machine learning system that you're leveraging. But there's some common patterns that it's helpful to understand. But your mileage may vary and it really depends on what technology you are relying upon, as well as where you're looking to run it. So we need to consider a few things. In many instances, we're going to be doing real-time deployments. In other words, we're going to be pushing machine learning applications out there as they become available, including the test data and the training data and everything that they need. In other cases, we're going to deploy many systems through a one-batch process. And we do that because typically, it could be systems that are shut down at night, between the hours of midnight and 6:00 a.m. And our ability to in essence update the databases, update the knowledge…
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