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Production ML Pipelines with Python SDK v2 of Azure Machine Learning
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=EjujMRqZGa0
By the end of this video tutorial, you should be able to use Azure Machine Learning (Azure ML) python SDK new version (V2) to productionize your ML project. • This means you will be able to leverage the AzureML Python SDK V2 to: • -connect to your Azure ML workspace • -create Azure ML data assets • -create reusable Azure ML components • -create, validate and run Azure ML pipelines • -deploy the newly-trained model as an endpoint • -call the Azure ML endpoint for inferencing • ☎️ Do you need any career or technical help? Book a call with me: https://calendly.com/mg_cafe • • -Reference codes utilized in this video: • https://github.com/Azure/azureml-exam... • -Azure ML SDK V2 new features: • https://techcommunity.microsoft.com/t.... • 🔔 Subscribe for more cloud computing, data, and AI analytics videos by clicking on subscribe button so you don't miss anything. • ✅ You can contact me at: • LinkedIn: / mohammad-ghodratigohar • Email: [email protected] • Twitter: / mg_cafe01 • • #azureml #MLOps #MLPipeline #DevOps #MLEngineering #AI #ML #MachineLearningOperation #machinelearningengineer #cicd #azureml #azuremlops #AzureMLOpsV2 #MLOpsTemplate #PythonSDKV2 #AzurePipeline
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