Course Summary
Course Category: Employment / Lifelong Learning
This online course in Azure Fundamentals exam is an opportunity to prove knowledge of cloud concepts, core Azure services, Azure pricing, SLA, and lifecycle, and the fundamentals of cloud security, privacy, compliance, and trust. his exam is intended for people beginning to work with cloud-based solutions and services. Candidates should be able to demonstrate a fundamental knowledge of cloud concepts, as well as Azure services, workloads, security, privacy, pricing, and support.
Certification in Microsoft Azure Fundamentals (AZ-900)
Course Details
This course prepares you for working in the following Career Sectors:
What will you study?
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Microsoft Azure Cloud Fundamentals AZ-900
Important
- Colleges may add/remove modules to keep the course updated and to meet demands.
Progression to CAO Courses
The Student - Career Interests
This course is typically suited for people with the following Career Interests:
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Enterprising
Enterprising people like situations that involve using resources for personal or corporate economic gain. Such people may have an opportunistic frame of mind, and are drawn to commerce, trade and making deals. Some pursue sales and marketing occupations. Many will eventually end up owning their own business, or in management roles in larger organisations. They tend to be very goal-oriented and work best when focused on a target. Some have an entrepreneurial inclination.
Further Research
Career Progression
This course will help to prepare learners who want to pursue a career as a Software Developer, Web Developer, Data Scientist, Data Analyst, or Machine Learning Engineer.