From the course: Google Cloud Professional Machine Learning Engineer Cert Prep

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MLOps hierarchy of needs

MLOps hierarchy of needs - Google Cloud Platform Tutorial

From the course: Google Cloud Professional Machine Learning Engineer Cert Prep

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MLOps hierarchy of needs

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- [Instructor] Let's dive into the concept of MLOps Hierarchy of Needs. Really, it is like a pyramid, and that at the bottom is DevOps. If you don't have DevOps, there's no possibility of an organization doing MLOps. And some of the key components of DevOps include infrastructure as code, right? Are you able to automatically provision environments and check that into your build system? Can you do continuous delivery of your software stack? So are microservices being delivered in the staging environment and then automatically being propagated to production? And also, have you designed around a build system? Next step, we have Data Operations. So similarly, once you've gone through and you've got that base level of DevOps, you have to look at your data management platforms. And really, are you using a platform? Are you using something like Google, BigQuery, or Databricks, or Snowflake, or Amazon Athena; some platform that…

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