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Deploy and consume models with Azure Machine Learning

Offered By: Microsoft via Microsoft Learn

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Machine Learning Courses Azure Machine Learning Courses Machine Learning Model Deployment Courses MLFlow Courses

Course Description

Overview

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  • Module 1: Learn how to deploy models to a managed online endpoint for real-time inferencing.

    In this module, you'll learn how to:

    • Use managed online endpoints.
    • Deploy your MLflow model to a managed online endpoint.
    • Deploy a custom model to a managed online endpoint.
    • Test online endpoints.
  • Module 2: Azure Machine Learning Python SDK v2.

    In this module, you'll learn how to:

    • Create a batch endpoint.
    • Deploy your MLflow model to a batch endpoint.
    • Deploy a custom model to a batch endpoint.
    • Invoke batch endpoints.

Syllabus

  • Module 1: Module 1: Deploy a model to a managed online endpoint
    • Introduction
    • Explore managed online endpoints
    • Deploy your MLflow model to a managed online endpoint
    • Deploy a model to a managed online endpoint
    • Test managed online endpoints
    • Exercise - Deploy an MLflow model to an online endpoint
    • Knowledge check
    • Summary
  • Module 2: Module 2: Deploy a model to a batch endpoint
    • Introduction
    • Understand and create batch endpoints
    • Deploy your MLflow model to a batch endpoint
    • Deploy a custom model to a batch endpoint
    • Invoke and troubleshoot batch endpoints
    • Exercise - Deploy an MLflow model to a batch endpoint
    • Knowledge check
    • Summary

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