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    Managing Microsoft Azure AI Solutions

    Posted By: lucky_aut
    Managing Microsoft Azure AI Solutions

    Managing Microsoft Azure AI Solutions
    Duration: 1h 39m 12s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 173.53 MB
    Genre: eLearning | Language: English


    This course shows you how to manage AI solutions in Azure. It explains how you can use ML Ops, monitor and collect data in production AKS clusters, and automate the entire process end to end
    What you'll learn

    Companies and Governments across the globe are pouring billions of dollars into AI. The projects are getting ever more interesting and complex, and it is therefore natural to conclude that these projects need management. In this course, Managing Microsoft Azure AI Solutions, I assert that an AI project is like any other software project, and the need to manage it with good software practices is more, not less, important. With demos, you'll learn how you can use concepts such as Azure CLI, ML SDK, and ML Ops to fully automate your end to end process. You'll also explore how you can set up an Azure DevOps pipeline to go from experiment to a service. But the fun doesn't end there; you'll then discover how to deploy your model as an AKS cluster and enable data monitoring and collection in production, so you can use that data in numerous ways to analyze it or feed it back into your model for subsequent improvement. By the end of this course, you'll have an in-depth understanding of how to manage your AI projects like a proper software project. Concepts such as ML Ops and Pipelines will be second nature to you, and you'll be a pro at collecting and monitoring your production AI solutions.

    More Info

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