How to Deploy ML Models on Azure: Real-Time and Batch Scoring | K21Academy скачать в хорошем качестве

How to Deploy ML Models on Azure: Real-Time and Batch Scoring | K21Academy

🎯Get your AI/ML & Agentic AI career started with our 3 simple steps to a $250K+ job! Free masterclass here: https://visit.k21academy.com/4f6a83 Learn how to deploy machine learning models on Azure with this comprehensive guide! In this video, we cover the key differences between managed online endpoints for real-time predictions and batch endpoints for asynchronous processing. Discover how to use MLflow for packaging models, how to set up custom models, and how to create and configure batch endpoints for efficient processing. We also demonstrate deploying a diabetes prediction model and show how to manage Azure resources like compute clusters and storage. Whether you're deploying real-time or batch models, this tutorial will help you optimize your ML model deployment workflow on Azure. ⏱️Timestamps: 00:00 - Azure ML Model Deployment Overview 06:32 - Online Endpoints Configuration 11:16 - Batch Endpoints Implementation 15:52 - Deployment Configuration Parameters 18:18 - Live Demonstration Setup 28:17 - Practical Implementation Results 🎯Get your AI/ML & Agentic AI career started with our 3 simple steps to a $250K+ job! Free masterclass here: https://visit.k21academy.com/4f6a83 #machinelearning #machinelearningtutorial #machinelearningengineer #mlops #azure #ai