Microsoft Azure AI Engineer

Programme overview:

Microsoft Azure AI Engineer next start date Next start date: 6 July 2021
Microsoft Azure AI Engineer study mode Study mode: Full-time and online part-time options
Microsoft Azure AI Engineer duration Duration:
6-months
Microsoft Azure AI Engineer support Support: Fully Supported

Programme details:

| Technology | Short Course

The aim of this postgraduate programme is to help students develop applicable knowledge and skills by teaching you to explore, transform, model and visualise data to create the next generation of intelligent solutions. Become a certified Microsoft Azure AI Engineer.

More information:

Entry requirements
To enrol for the Microsoft Azure AI Engineer programme, the following requirements are recommended:
• No previous work experience is required.
• Degree in Information Technology, Computer Science, Information Systems, Robotics, Engineering, Physics, or related fields.
• Fundamental Mathematics and Statistics knowledge, and a basic grasp of programming concepts in undergraduate studies.
• You do not need to be a Mathematician or a Pro Software Developer.
Programme accreditation
Qualification offering / partnership / recognition / benefits
• Offered by Eduvos
• In partnership with Microsoft and Gijima (South African Microsoft Gold Partner)
• Recognised by Microsoft AI University
• Industry-recognised Learning content with access to Microsoft Skills labs
• Lecture delivery by competent and Microsoft Azure certified Lecturers
Possible career options
The career choices for you include:

Network Engineer
Software Developer (C#, Python or Javascript)
Cloud Support Engineer
Azure Developer
Azure Solutions Architect
IT support
This qualification is offered at the following campuses
Pretoria Campus
Cape Town - Tyger Valley Campus
Qualification structure
Tuesdays, Thursdays, and Saturdays
 
 A 6-month programme with a Blended Learning approach consisting of:
  • Classroom training
  • Microsoft Skills labs
  • Online learning, and
  • Microsoft Certifications 
Blended Learning training model: Onsite (30%) and Online (70%)