Microsoft Future Ready: Designing and Implementing a Data Science Solution on Azure

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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 self-paced course was developed by the Microsoft World Wide Learning Team for data scientists with the goal of supporting exam DP100: Designing, Implementing, and Maintaining a Data Science Solution in Azure.

Learn about data science and the solutions that Microsoft Azure offers to support it. Then, you'll learn about machine learning model training and deployment. This will allow you to automate more of your data science projects.

Machine learning is changing the face of many industries, including data science. You'll be guided by industry experts to review the machine-learning capabilities of Microsoft Azure and how you can use them for model training, selection automation, model management, monitoring, and more.

After you have a good understanding of Microsoft Azure's functionality and built a chatbot, you can put it to use by creating a simple chatbot. This gives you the chance to customize and troubleshoot the platform as well as the chance to gain hands-on experience.

The course will equip you with the knowledge and confidence to create and implement an AI-based data science solution using Microsoft Azure.

Microsoft has granted accreditation to this course

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

High level overview of Azure data science related services

Deep dive on the premier data science service, Azure Machine Learning service, which supports automation of machine learning model training and deployment.

Navigate the Azure portal and to create services there.

Familiarity with the Azure data storage technologies

Target Students

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

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