This course introduces you to Microsoft Azure core concepts and services. You’ll learn the basics of cloud computing, its advantages, and how to choose the right Microsoft Azure solution for different business scenarios. You’ll learn about several of the database and big data services that are available on Microsoft Azure. You'll also learn how to take advantage of several virtualization services in Microsoft Azure compute, which can help your applications scale out quickly and efficiently to meet increasing demands. Finally, you’ll learn about the different storage and virtual network options available in Microsoft Azure.
- Artificial Intelligence workloads and considerations
- Fundamental principles of machine learning on Azure
- Features of computer vision workloads on Azure
- Features of Natural Language Processing (NLP) workloads on Azure
This course is intended for people who want to learn about AI and machine learning workloads—and what Azure services can solve for them
This course is at a intermediate level.
The course is offered in partnership with Prodigy Learning.
For organisations that wish to pay the student fees for this course and are unable to pay by credit card via the website, please contact the Student Engagement & Onboarding team via email on SEOShortCourses@tafesa.edu.au to organise a Third Party Payment invoice.
Online (self-paced) - continuous enrolments until 30th of June 2023.
Self-paced, with approximately 6-8 hours per week of study
Continuous enrolment - you can start this course at anytime. However you will be only allowed the maximum duration of the course from the date of access to the course to complete your studies.
For more details on short course enrolments, discounts, refunds, international student eligibility and more, please visit
Applying for Short Courses