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

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

Duration

3 weeks

Total fee

900

Mode of learning

Online

Credential

Certificate

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

  • Duration 3 weeks
  • Weekly study 6 hours
  • Included in an ExpertTrack Course 6 of 6
Details Icon

Microsoft Future Ready: Designing and Implementing a Data Science Solution on Azure
 at 
FutureLearn 
Course details

More about this course
  • This self-paced course was created by the Microsoft World Wide Learning team for data scientists, with the aim of supporting the exam DP-100: Designing and Implementing a Data Science Solution on Azure.
  • You'll learn about the data science process and how solutions within Microsoft Azure can best support it. You'll then delve into machine learning model training and deployment, allowing you to use a greater degree of automation within your data science projects.
  • Machine learning is revolutionizing a huge range of industries, including data science. Guided by industry experts, you'll review the machine learning capabilities available in Microsoft Azure, and learn how to use it for local model training, model selection automation, model management, and monitoring.
  • Once you have built your understanding of Microsoft Azure and its functionality, you'll put that knowledge into practice by building a simple chat bot. This offers you the opportunity to customize and troubleshoot within the platform, as well as a chance to build hands-on experience.
  • By the end of the course you'll have the confidence and knowledge to design and implement a data science solution using Microsoft Azure's AI stack.
Read more

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

Course Introduction

About this Course

Data Science

The Data Science Process

Azure and Data Science

Cloud-based and On-premises Machine Learning

Wrapping up the Week

Data Science on Azure

Development platforms and tools

Introduction to Data Science with Azure Notebooks

CloudSwyft Hands-On Lab 1

Introducing the Azure Machine Learning (AML) Service

Training Machine Learning Models

Wrapping Up the Week

Azure Machine Learning Service

Registering and Deploying Models

CloudSwyft Hands-On Lab 2

Automating Model Selection with AML Service

CloudSwyft Hands-On Lab 3

Managing and Monitoring Models with AML Service

Wrapping Up the Course

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