Information Technology
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Microsoft Future Ready: Designing and Implementing an Azure AI Solution

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Course Features

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Duration

3 weeks

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

6 hours per week

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Teaching Type

Self Paced

Course Description

This course is part the Ethics Laws & Implementing an AI Solution in Microsoft Azure ExpertTrack. It will help you understand AI ethics and laws, as well as improve your machine learning and AI skills. This course will cover the basics of data science and how they can be supported by solutions in Microsoft Azure. You'll learn machine learning theory and get hands-on experience with Microsoft Azure. Industry experts will also be present. This course was developed by the Microsoft World Wide Learning Team for data scientists with the purpose of supporting exam DP100: Designing and Implementing a Data Science Solution in Azure.

Machine learning is changing many industries including data science. It is used to automate processes and achieve better results. Machine learning model training and deployment will be covered. This will enable you to automate more data science projects. Industry experts will guide you through the course to help you understand the machine learning capabilities of Microsoft Azure. This powerful platform can be used for model selection automation and local model training. It can also be used to manage models and monitor them. After you are familiar with the basics of Microsoft Azure, you can build a chatbot. You can consolidate your knowledge by putting it into practice.

Course Overview

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Alumni Network

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

How to configure Azure Cognitive Services accounts

How to consume Cognitive Services in an application

How to build simple chat bots

How to integrate LUIS into a Bot

Target Students

This course is best suited to aspiring data scientists and those whose job responsibilities primarily fall into the area of data science

This course is designed as one advanced next step from the Introduction to AI course

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