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Sahil Malik, Tim Warner, Brian Harrison, and Jared Rhodes

Microsoft Azure offers a robust and powerful AI platform. This path teaches you how to implement an AI solution inside of Microsoft Azure.The end-to-end AI pipeline is addressed in this path - from data sourcing, ingestion, transformation, modeling, and deployment.

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Microsoft Azure offers a robust and powerful AI platform. This path teaches you how to implement an AI solution inside of Microsoft Azure.The end-to-end AI pipeline is addressed in this path - from data sourcing, ingestion, transformation, modeling, and deployment.

What You'll Learn

  • Define the stages of an AI pipeline inside of Microsoft Azure
  • Develop AI models and publish them as consumable endpoints
  • Build search solutions on Microsoft Azure
  • Develop solutions that leverage the AI Bot Framework to interact with users, and Intelligent Edge to collect data from the Internet of Things
  • Enroll now

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    What's inside

    Three courses

    Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure

    (2 hours)
    This course is for data pros, developers, and IT pros who need to collaborate on data science projects and develop repeatable, high-quality machine learning models in Microsoft Azure.

    Developing Microsoft Azure Intelligent Edge Solutions

    (2 hours)
    This course targets software developers that are looking to build edge solutions that can process data and make intelligent decisions. This course will showcase how to develop those solutions using Microsoft Azure.

    Implementing a Microsoft Azure AI Bot Framework Solution

    (2 hours)
    In this course, you will learn how to create a Bot Framework solution from the ground up, including how to integrate it with Azure AI Services, Search Engines, and Database Backends.

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