FCLF1-CC30 Cloud Computing
FCLF1-CC30 Cloud Computing
- Course description
- Course CodeFCLF1-CC30
- Level of Study5.1
- Program of StudyCloud Foundations
- Credits30
- Study Plan CoordinatorKristoffer Thomsen
About the Course
The course provides knowledge of cloud computing and skills to configure solutions based on project specifications. Cloud computing is renting resources, like storage space or CPU cycles, instead of running them on their own equipment. Candidates are provided knowledge and skills to work with important elements such as rapid development cycle, try/fail, pay as you go, scalability and elasticity. The course is based on Microsoft Azure; however, the theory, concepts and terminology are standard among the major vendors.
To master data in the cloud, you need the right foundation—a solid understanding of core data concepts, such as relational data, nonrelational data, big data, and analytics. Plus, familiarity with data and data analytics roles, tasks, and responsibilities.
Whether you’re a beginning technical professional, student, or business user, this course will offer knowledge of the business value and product capabilities of Microsoft Azure. The course will also provide insights into foundational knowledge of cloud-based solutions to facilitate productivity and collaboration on-site, at home, or a combination of both.
The course aims to provide fundamental competence to utilise cloud services securely. As the demand for increased performance storage requirements increases, and the lines between on-premises computing versus cloud computing become more diffuse, many businesses are moving fast toward cloud computing, and the need for competent personnel is also increasing.
This course offers the foundation to build your technical skills to start working with services in the cloud. Mastering the basics can help you jump-start your career and prepare you to dive deeper into other technical opportunities in the cloud.
The candidate:
- has knowledge of concepts, processes and tools that are commonly used in cloud computing.
- has knowledge of processes, limitations and management of on-premises and cloud environments.
- has knowledge of cloud concepts and services offered through Microsoft Power Platform and 365.
- has knowledge of security, compliance, identity, privacy, and trust in Microsoft Azure and 365.
- has knowledge of structured, unstructured, and semi-structured data.
- has knowledge of Microsoft Azure Active Directory.
- has knowledge of security, compliance, identity, and governance concepts.
- has insight into relevant regulations, standards, agreements and quality requirements regarding cloud computing, cloud providers and Azure resources.
- has insight into relevant regulations, standards, agreements, and quality requirements related to Microsoft 365.
- can update their knowledge about cloud computing, concepts, and services.
- can update their own knowledge about Azure resources, such as storage, virtual networking, and compute.
- understands the importance of security and integrity of cloud environments from a societal perspective.
The candidate:
- can apply knowledge of cloud-based technology to connect and interact with and between systems.
- can apply knowledge of core data concepts to represent structured, semi-structured and unstructured data.
- can apply knowledge to working with non-relational and relational data in the cloud.
- can apply knowledge to deploy and manage Azure storage, virtual networks, and compute resources.
- can apply knowledge of Microsoft 365 to describe productivity, collaboration, access management and threat protection solutions.
- can apply knowledge of Microsoft Power Platform to demonstrate the capabilities of Power Apps.
- masters relevant tools and techniques to interact with and configure cloud computing systems and services.
- can describe relational and non-relational concepts and considerations in real-time data analytics.
- can describe the capabilities of Microsoft identity, access management, security, and compliance solutions.
- can find information and material relevant to maintaining and troubleshooting cloud-based services.
- can find information and material that is relevant to core data concepts and analytics workloads in the cloud.
- can find information and material that is relevant to Microsoft 365 apps and services.
- can study a cloud-based environment and identify issues in cloud computing and what measures need to be implemented.
The candidate:
- has developed an ethical attitude in relation to the access of data that is common when working with cloud-based systems.
- can carry out work on cloud-based systems based on the needs of selected users.
- can carry out work on data services in the cloud based on the needs of selected users.
- can carry out work on Power BI and Power Apps based on the needs of selected users.
- can implement and manage Azure identities, governance, storage, virtual networking, and compute resources.
- can monitor and maintain Azure resources.
- can develop work methods, products and/or services relevant to the administration of cloud services.
- can develop work methods, products and/or services relevant to storage, virtual networks, and compute resources.
- can develop work methods, products and/or services relevant to Azure identities, governance, and compute resources.
- can develop work methods, products and/or services relevant to Microsoft Power Platform and the Microsoft 365 apps and services
Digital Learning Resources
The learning management system (LMS) is the primary learning platform where students access most of their course materials. The content is presented in various formats, such as text, images, models, videos or podcasts. Each course follows a progression plan, designed to lead students through weekly modules at their own pace. Exercises and assignments (individual or in groups) are embedded throughout the courses to support continuous practice and assessment of the learning outcomes.
Campus Resources
In addition to the digital learning resources, campus students participate in physical learning activities led by teachers as part of the overall delivery.
Guidance
Guidance and feedback from teachers support students' learning journeys, and may be provided synchronously or asynchronously, individually or in groups, via text, video or in-person feedback.
Four (4) mandatory work requirements must be submitted throughout the course, in addition to the final course submission. These requirements will be assessed as either Approved or Not Approved.
Form of assessment | Grading scale | Grouping | Duration of assessment |
---|---|---|---|
Semester Project | Grade A-F | Individual | 19 Week(s) |