Learn how to create a managed Endpoint (AKS) in Azure Machine Learning Studio for running inference using a model in ONNX format. Explore the process of setting up and deploying an ONNX model on Azure Kubernetes Service (AKS) using Python SDK v2. Gain hands-on experience with MLOps practices as you walk through the steps of creating a managed endpoint, configuring the environment, and executing inference tasks. Access the provided GitHub repository for code samples and additional resources to enhance your understanding of machine learning operations and data science workflows in Azure.
MLOps: Inference ONNX Model in Azure ML Managed Endpoint AKS
The Machine Learning Engineer via YouTube
Overview
Syllabus
MLOPS: Inference onnx Model in Azure ML Managed EndPoint AKS #machinelearning #datascience
Taught by
The Machine Learning Engineer
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