CSI-7 Cloud Security Engineering

CSI-7 Cloud Security Engineering

  • Course description
    • Course Code
      CSI-7
    • Level of Study
      5.2
    • Program of Study
      Cloud Security and Infrastructure (new)
    • Credits
      15
    • Study Plan Coordinator
      Justine Moodley
Teaching Term(s)
2028 Autumn
About the Course

Cloud platforms hold an organisation's identities, workloads and data, and their security depends on how each of these are protected. This course provides skills to secure a cloud platform based on an organisation's needs and risks.

Students design security based on Zero Trust and assess their security design against a threat model and the organisation's cloud risk. They secure hybrid, workload and multi-cloud identities, manage secrets and keys, and protect networks, compute, containers, data and the delivery pipeline. Students learn to find misconfigurations across Azure and AWS through posture management and determine what measures need to be implemented. The course also covers how AI workloads and agents are secured before they go into production. Students explain their security design and the risks it addresses to the organisation.

Course Learning Outcomes
Knowledge

The candidate:

  • has knowledge of Zero Trust, cloud identity, secrets and key management and data protection, including how to secure AI workloads and agents
  • can assess their own security design against a threat model and the client's cloud risk
  • can keep their knowledge of cloud threats and misconfigurations up to date through posture management
Skills

The candidate:

  • can explain their security design and the risks it addresses to a client
  • can find misconfigurations across Azure and AWS and determine what measures need to be implemented
General Competence

The candidate:

  • can secure the identities, networks, compute, containers, data and delivery pipeline of a client's cloud platform
  • can secure a cloud platform based on a client's needs and risk
  • can discuss with others how AI workloads and agents should be secured before they go into production
Learning Activities

Students use a combination of written content, videos and practical learning activities designed to help them achieve the course learning outcomes.

Industry Relevance
Course content, learning activities and tools reflect industry standards and are developed in collaboration with industry partners and experts from the field.

Practical Work
The course includes regular practical activities where students apply their knowledge and practise relevant skills.

Collaboration
Collaboration is facilitated through the LMS and Teams, and students are encouraged to work together for peer support and shared learning.

Guidance
Teachers are available for guidance at scheduled times. Students are encouraged to share work in progress and use feedback from teachers and fellow students to develop their work further.

Work requirements and Assessment

This course has one coursework requirement, graded Approved / Not Approved.

Assessments
Form of assessmentGrading scaleGroupingDuration of assessment
Course Assignment
Grade A-F
Individual
1 Week(s)
Reading List

Teaching materials, reading lists, and essential resources will be shared in the learning platform and software user manuals where applicable.