18. 🧑🏽‍🔬Azure ML Managed Online Endpoints

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🗓️ Day 18 of #30DaysOfAzureAI

Azure ML Managed Online Endpoints - A Quickstart

Yesterday we learned how to streamline ML Development with Azure ML. Today, we'll learn how to deploy ML models using Azure ML managed online endpoints.

🎯 What we'll cover

1. What are Azure ML managed online endpoints.
2. The three main components of an online endpoint.
3. How to deploy one or more models under the same endpoint.

📚 References

• Learn Module: Introduction to Azure Machine Learning
• What is Azure Machine Learning?

🚌 Get started with Azure ML's managed online endpoints

Today's article discusses the benefits of using Azure Machine Learning's managed online endpoints and compares them to Azure Container Instances. The author outlines three main reasons why they prefer managed online endpoints: built-in security, native blue/green deployments, and auto-scaling with Azure Monitor.

Step-by-step instructions are provided for for deploying an online endpoint that translates API inputs to something a machine learning model can handle, invokes the model, and returns formatted results.

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Today's article.

🙋🏾‍♂️ Questions?

You can ask questions about this post on GitHub Discussions

📍 30 days roadmap

What's next? View the #30DaysOfAzureAI Roadmap

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