Microsoft Future Ready: Designing and Implementing an Azure AI Solution

Offered byFutureLearn

Microsoft Future Ready: Designing and Implementing an Azure AI Solution
at
FutureLearn
Overview

Duration	3 weeks
Total fee	₹900
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Microsoft Future Ready: Designing and Implementing an Azure AI Solution
at
FutureLearn
Highlights

Duration 3 weeks
Weekly study 6 hours
100% online Learn at your own pace

Microsoft Future Ready: Designing and Implementing an Azure AI Solution
at
FutureLearn
Course details

Skills you will learn

Cloud Computing Microsoft Azure Data Science

More about this course

This course is part of the Ethics Laws and Implementing an AI Solution on Microsoft Azure ExpertTrack, helping you understand AI ethics and laws while developing advanced AI and machine learning skills.
During this course, you'll explore the data science process and how this can be supported using solutions within Microsoft Azure. Alongside industry experts, you'll delve into the theory of machine learning before gaining hands-on experience to strengthen your knowledge of Microsoft Azure.
This 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.
Machine learning is transforming many industries, including data science, and is being used to streamline processes for more effective results.
You'll explore machine learning model training and deployment which will allow you to use a greater degree of automation within your data science projects.
During the course, you'll be guided by industry experts to review the machine learning capabilities available in Microsoft Azure. You'll also learn how to use this powerful platform for model selection automation, local model training, model management, and monitoring.
Once you have understood the functionality of Microsoft Azure, you'll gain practical experience by building a simple chatbot.
By putting your knowledge into practice you can solidify what you have learned and also have the opportunity to customize and troubleshoot within the platform.