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Microsoft

Design a machine learning solution

Microsoft via Microsoft Learn

Overview

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  • Learn how to design a data ingestion solution for training data used in machine learning projects.

    In this module, you'll learn how to:

    • Identify your data source and format
    • Choose how to serve data to machine learning workflows
    • Design a data ingestion solution
  • Design a machine learning model training solution with Azure Machine Learning.

    In this module, you learn how to:

    • Design a solution to get and prepare data.
    • Choose a service and compute to train a model.
    • Prepare for model deployment options.
  • Design a model deployment solution with Azure Machine Learning Python SDK v2

    In this module, you'll learn how to:

    • Understand how a model will be consumed.
    • Decide whether to deploy your model to a real-time or batch endpoint.
  • Design machine learning operations MLOps solution with Azure Machine Learning Python SDK v2.

    In this module, you will:

    • Explore an MLOps architecture.
    • Design for monitoring.
    • Design for retraining.

Syllabus

  • Design a data ingestion strategy for machine learning projects
    • Introduction
    • Identify your data source and format
    • Choose how to serve data to machine learning workflows
    • Design a data ingestion solution
    • Exercise: Design a data ingestion strategy
    • Module assessment
    • Summary
  • Get started with machine learning in Azure
    • Introduction
    • Define the problem
    • Get and prepare data
    • Train the model
    • Use Azure Machine Learning studio
    • Integrate a model
    • Exercise - Explore Automated Machine Learning in Azure Machine Learning
    • Module assessment
    • Summary
  • Design a model deployment solution
    • Introduction
    • Understand how model will be consumed
    • Decide on real-time or batch deployment
    • Module assessment
    • Summary
  • Design a machine learning operations solution
    • Introduction
    • Explore an MLOps architecture
    • Design for monitoring
    • Design for retraining
    • Knowledge check
    • Summary

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