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Designing Microsoft Azure AI Solutions

Sahil Malik, James Bannan, Brian Harrison, Jared Rhodes, David Tucker, Ifedayo Bamikole, and Dayo Bamikole

Microsoft Azure offers a robust and powerful AI platform. In order to use it effectively, you will need to understand how the Azure service offering fits together to provide a complete platform for your AI solution.This path addresses the design elements around AI solutions as they are implemented with Microsoft Azure, including service offerings and features, security implementations, machine learning workflow design, and edge computing.

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Microsoft Azure offers a robust and powerful AI platform. In order to use it effectively, you will need to understand how the Azure service offering fits together to provide a complete platform for your AI solution.This path addresses the design elements around AI solutions as they are implemented with Microsoft Azure, including service offerings and features, security implementations, machine learning workflow design, and edge computing.

What You'll Learn

  • Choosing the appropriate Microsoft Azure services and features for your AI business needs
  • Designing security into the AI solution
  • Applying version control to your AI solution
  • Operationalizing your AI solution as interacting Microsoft Azure services
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    What's inside

    Four courses

    Choosing the Appropriate Microsoft Azure Services and Features

    (2 hours)
    This course provides an overview of the different Azure services and features that are available to enable and support AI solutions. You'll learn how to map business requirements to the right services and features for your data teams.

    Designing Machine Learning Solutions on Microsoft Azure

    (1 hours)
    This course covers how to leverage Azure Machine Learning for successful data science initiatives. You will learn team workflow, the Azure Machine Learning Service workflow, data pipelines, model training, model registration, and infrastructure approaches.

    Operationalizing Microsoft Azure AI Solutions

    (0 hours)
    In Microsoft Azure, models can be created with Azure Databricks and Azure Machine Learning (ML). This course focuses on operationalizing AI models with Azure DevOps.

    Designing an Intelligent Edge in Microsoft Azure

    (2 hours)
    This course teaches software developers how to integrate AI solutions in edge scenarios using Microsoft Azure. It covers foundational knowledge of edge computing, how to create an edge solution utilizing Azure Stack, Azure Data Box Edge, and Azure IoT Edge, and how to utilize off-the-shelf AI and build your own for Azure IoT Edge.

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