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Databricks MLOps With GitHub Actions & MLflow
Рет қаралды 8,660
Күн бұрынThis hands-on video shows you how to enable MLOps for continuous integration, delivery, and model deployment with mlflow using Github actions Azure Databricks.
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Azure MLOps ( With Azure Machine Learning a& Azure DevOps) Playlist:
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The Github repo utilized in the video:
github.com/MG-...
Source Github repo for Databricks DevOps:
github.com/Ada...
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✅ You can contact me at:
LinkedIn: / mohammad-ghodratigohar
Email: mo.ghodrati95@gmail.com
#Databricks #MLOps #GithubActions #MLflow #AzureMLOps #AzureDevOps #DevOpsForMachineLearning #MAchineLearningOperation #Azure #AI #DevOps #GithubActionMLOps #Github #GithubActionAzure #AzureML #DatabricksMLOps #DatabricksMLflow
@user-eq6li9le6k Жыл бұрын
Thanks for this video, this is a huge job to achieve such detailled description. Great !
@itmfar Жыл бұрын
Great video
@vahidvajihinejad3178 Жыл бұрын
That was great, MG!
@MG_cafe Жыл бұрын
Thanks so much Vahid!
@farahmahmoud4407 3 ай бұрын
Hi, thanks for this video, i havve same doubts. In fact, i run the Infra pipline but it doesn't create any azure resources.Notice that the pipeline it succeded also i have give contributor acess to the service principal on my subscription.?
@harikumarthiruniraiselvam6358 2 жыл бұрын
Another good video .... !!!
@jhonatansossa8222 Жыл бұрын
Thanks for the video, it was awesome. In my company we use databricks with AWS, is there a way to not use Azure like in the video or is it mandatory?
@JRneko Жыл бұрын
wow thanks! can we also deploy workspace experiments, not tied to a notebook? as they don't seem to come up in github?
@yushmittal8180 Жыл бұрын
Hey MG, nice video but can you please help in understanding how to assign someone to approve mlflow model stage transition request via json
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