CI/CD for ML with Cloud Build and Cloud Deploy
DevOps
• October 2022
CI/CD for ML with Cloud Build and Cloud Deploy
About
CI/CD for ML with Cloud Build and Cloud Deploy
About
Imagine you are part of a Data science team and the IT department is the owner of self-managed K8s serving infrastructure. In order to deploy a model properly, you need a workflow that once the model is ready, it would test, build and release it into a staging and production environment. Here is where CI/CD practices come into play.
Language
English
Level
Intermediate
Length
28 minutes
Type
About the speakers
About the speakers
Gioacchino Martino
Customer Engineer •
Google
Customer Engineer, Infrastructure Modernization Specialist @ Google - Google Certified Cloud Architect, Cloud DevOps Engineer
Gioacchino è un Customer Engineer in Google Cloud. E’ entrato in Google nel 2021 con l’obbiettivo di aiutare le aziende Enterprise nei processi di innovazione in ambito Infrastructure ed Application Modernization.
Prima di Google ha lavorato come IT architect e consulente in progetti Cloud e DevOps.
Ivan Nardini
CE •
Google
Ivan Nardini is a Customer Engineer at Google Cloud specialized on MLOps and Decisioning. He’s been involved in operationalizing analytics using different open source technologies in a variety of industries. His focus is on providing solutions to operationalize analytics and optimize business decisioning processes.
Details
Language
English
Level
Intermediate
Length
28 minutes
Type
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