Information Technology
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Microsoft Azure AI Engineer: Deploying AI Solutions in Microsoft Azure

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Course Features

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Duration

2.33 hours

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

2 hours per week

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Teaching Type

Self Paced

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Video Content

2.33 hours

Course Description

Microsoft Azure's AI solutions are made up of many independent services and resources that work together to create a complex solution. This course, Microsoft Azure AI Engineer - Deploying AI Solutions within Microsoft Azure, will help you understand the nature of AI solutions to enable data scientists to work efficiently and to ensure that your business investment in AI remains fit-for-purpose. You'll first examine the core nature and function of AI solutions, as well as how they are represented in Microsoft Azure solution architectures. Next, you will explore the various scenarios that data scientists use to deploy, build, and train AI models. This includes understanding the operational frameworks for security and monitoring. The final step is to bring it all together by deploying an AI-based container-based solution with IoT Edge. This course will give you a solid understanding of the structure and configuration of AI solutions in Microsoft Azure and how you as an AI Engineer can impact the deployment, configuration and maintenance of these solutions to support diverse business and technical outcomes.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Deploying Azure AI Solutions

Understanding Continuous Monitoring

Deploying Container Environments

Deploying IoT Devices

Managing Security for AI Solutions

Course Instructors

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James Bannan

Instructor

James Bannan is a consultant based in Melbourne, Australia. He has worked in the IT industry for over 18 years and has worked in a variety of roles, from helpdesk to systems administration and now as...
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