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Microsoft Azure AI Engineer (AI-100)

Sahil Malik, James Bannan, Tim Warner, Brian Harrison, Jared Rhodes, David Tucker, Ifedayo Bamikole, Ranjan Relan, and Dayo Bamikole

Microsoft Azure offers a spread of services designed to work together to enable rapid development of high-performance AI solutions. This skill teaches how these Azure services work together to enable you to design, implement, operationalize, monitor, optimize, and secure your AI solutions on Microsoft Azure. This path is designed to address the Microsoft AI-100 certification exam.

What You'll Learn

Ingest, transform, and prepare data for AI solutions

Design and implement end-to-end AI solutions on Microsoft Azure

Monitor and optimize AI solutions deployed on Microsoft Azure

Secure AI solutions on Microsoft Azure

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What's inside

Nine 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.

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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.

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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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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.

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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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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.

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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.

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Managing Microsoft Azure AI Solutions

(1 hours)

This course teaches how to manage AI solutions in Azure. It covers ML Ops, monitoring and collecting data in production AKS clusters, and automating the entire process end to end.

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Optimizing Microsoft Azure AI Solutions

(1 hours)

Microsoft Azure's cloud-based platform provides multiple AI services, including AzureML Compute Cluster, Azure HDInsight, Azure Databricks, and Azure DevOps. This course teaches how to design, deploy, and optimize applications built with Microsoft AI Solutions.

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Time

1072 hours

Via

Pluralsight

Institution

Instructors

Sahil Malik

James Bannan

Tim Warner

Brian Harrison

Jared Rhodes

David Tucker

Ifedayo Bamikole

Ranjan Relan

Dayo Bamikole

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