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​​ 5 - 9 October 2020​​​​

African ​Da​​​ta Science Acade​my​​
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​The African Data Science Academy's mission is to facilitate human capacity building in data science and computational thinking at the University, nationally in South Africa, across Africa and globally. It develops and presents open courses offered by the School as well as bespoke courses developed for our industry and academic partners. We invite you to explore partnering with the African Data Science Academy for your training needs.​

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​​ ​​Courses​
This online workshop will take place online from 5 - 9 October 2020.  The African Doctoral Academy (ADA) at Stellenbosch University, already well known for their Summer and Winter Doctoral Schools in South Africa and across Africa, will be lending operational support for the school.​​​​​​​
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Introduction to Cloud Computing with Azure
This interactive 1 week course covers an introduction to cloud concepts and Microsoft Azure cloud services, and the fundamentals of Microsoft Azure. Azure is a leading provider of various cloud-based solutions for individuals and companies: Its user-friendly portal makes it easy to learn and quick to deploy and manage cloud-based resources, making it appealing to anyone wanting to use state-of-the-art hardware without investing in servers or requiring advanced IT knowledge.
  • No knowledge of the cloud or software engineering is required. 
  • You will have the possibility of a certification through Microsoft.


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​​ ​​​Full Course Information​​​

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Introduction to Cloud Computing with Azure​
​ Pres​enter(s)
​Mr Luca Steyn, Department of Statistics and Actuarial Science, Stellenbosch University
​ Duration
​4.5 days from 5 - 9 October 2020
​​ Cost
R1050 including the Microsoft certification vouchers needed to write the formal accreditation examination.
​ Format
The course takes place online from 5 – 9 October 2020
1 orientation session + 3 one-hour of Q&A sessions over 5 days 
  • ​Compulsory On-boarding takes place the week of 1 October 
  • Delegates are required to test their MS Teams compatibility, attend the orientation session (a maximum of 45 minutes) and fully complete the on-boarding sessions before the course commences to ensure that we are able to resolve any accessibility issues in good time.
​ Requirements
Participants must have a background in computer science, information systems, engineering, and/or data science.
​ Target audience
​This course is aimed at honours, masters and Phd students, final year students in 4 year degrees, staff, and practitioners.
​ Certificate
​Certificate of attendance from SU and the opportunity to write the formal Microsoft Azure examination for accreditation through Microsoft.
​ Focus disciplines
This course is relevant across all disciplines.​

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General Description
This course covers the fundamentals of Microsoft Azure. No knowledge of the cloud or software engineering is required. We will cover 
the basics of cloud concepts; 
  • explore Microsoft Azure cloud services; 
  • explore how security is a shared responsibility; 
  • learn to apply and monitor infrastructure standards;
  • learn to control and organise cloud resources; 
  • investigate how Microsoft Azure helps us predict the cost of a solution.
Outcomes
This course covers the fundamentals of Microsoft Azure. No knowledge of the cloud or software engineering is required. We will cover 
the basics of cloud concepts:
  • Learn cloud concepts such as High Availability, Scalability, Elasticity, Agility, Fault Tolerance, and Disaster Recovery
  • Understand the benefits of cloud computing in Azure and how it can save you time and money
  • Compare and contrast basic strategies for transitioning to the Azure cloud
  • Explore the breadth of services available in Azure includ-ing compute, network, storage, and security​

​Course Includes
  •   A 'voucher' to write the formal Microsoft Azure examination for accreditation through Microsoft.
Your Presenter, Mr Luca Steyn
I am a lecturer at the department of Statistics and Actuarial Science, Stellenbosch University and a PhD candidate completing a joint-PhD in Mathematical Statistics (Stellenbosch University) and Bioscience Engineering: Mathematical Modelling (Ghent, Belgium). I am currently working in a team on anomaly detection with deep learning applied to big data. My research interests include deep learning and variational inference methods for anomaly detection and zero-shot learning. 

As I entered the world of data, I soon realised that statistics, computer science, and cloud infrastructure are the primary building blocks of modern data-science solutions. Therefore, I aspire to continuously update my data-science toolbox with new and better solutions. Using the cloud has enabled me to test small solutions at little cost up to deploying models at scale whilst remaining cost-effective. I learnt that the cloud accelerates productivity as one can quickly build complex IT infrastructures without advanced knowledge of network security and data privacy. Microsoft Azure is a leading provider of various cloud-based solutions for individuals and companies. Its user-friendly portal makes it easy to learn and quick to deploy and manage cloud-based resources. This makes it appealing to anyone wanting to use state-of-the-art hardware without investing in servers or requiring advanced IT knowledge.

I am excited to introduce you to Microsoft Azure. Besides the possibility of a certification through Microsoft, this course will introduce you to cloud concepts which are crucial for any business in this data-driven era. Having this knowledge will give you a competitive edge in modern business and allow you to take more advanced Microsoft accreditations. ​


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