This course is part of the Ethics, Laws and Implementing an AI Solution on Microsoft Azure ExpertTrack

Microsoft Future Ready: Designing and Implementing an Azure AI Solution

Gain the skills and confidence in Microsoft Azure to help you understand how to design and implement a data science solution.

Duration3 weeks
Weekly study6 hours
100% onlineLearn at your own paceHow it works
Included in an ExpertTrackCourse 4 of 4
Get full ExpertTrack access$39/monthFind out more

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.

Learn how to use automation within your data science projects

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.

Improve your data modelling with Microsoft Azure

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.

Gain hands-on experience by building a chatbot

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 customise and troubleshoot within the platform.

What topics will you cover?

The data science process
Data science on Azure
Data science with Azure Notebooks
Azure Machine Learning (AML) service
Local model training with AML service
Azure modelling
Model selection automation with AML service
Machine learning model management and monitoring with AML service

Prove you're job ready

Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.

Learn the latest in your chosen industry or subject.
Complete each course and pass assessments.
Receive certificates validated by the educating organisation.
Create a shareable certificate link for your CV and LinkedIn.
Impress employers with learning outcomes you can add to your CV.
Make your career dreams a reality.

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What will you achieve?

By the end of the course, you‘ll be able to...

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

Who is the course for?

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.

Who developed the course?

CloudSwyft Global Systems, Inc.

CloudSwyft has partnered with the top global technology companies to deliver cutting edge digital skills learning across the modern workplace.

About this ExpertTrack

Build your data science for AI skills with Python and Microsoft Azure, and explore its ethical and legal frameworks.

Find out more

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