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Microsoft

Design a machine learning solution

Microsoft via Microsoft Learn

Overview

  • Module 1: 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
  • Module 2: Azure Machine Learning Python SDK v2

    In this module, you'll learn how to:

    • Identify machine learning tasks
    • Choose a service to train a model
    • Choose between compute options
  • Module 3: 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.
  • Module 4: 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

  • Module 1: Module 1: 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
    • Knowledge check
    • Summary
  • Module 2: Module 2: Design a machine learning model training solution
    • Introduction
    • Identify machine learning tasks
    • Choose a service to train a machine learning model
    • Decide between compute options
    • Exercise: Design a model training strategy
    • Knowledge check
    • Summary
  • Module 3: Module 3: Design a model deployment solution
    • Introduction
    • Understand how model will be consumed
    • Decide on real-time or batch deployment
    • Exercise - Design a deployment solution
    • Summary
  • Module 4: Module 4: Design a machine learning operations solution
    • Introduction
    • Explore an MLOps architecture
    • Design for monitoring
    • Design for retraining
    • Knowledge check
    • Summary

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