Special Topics
Cybersecurity
290
3 units
Course Description
Specific topics, may vary from section to section, year to year. Course may be repeated for credit when topic changes. Students may enroll in multiple sections of this course within the same semester.
Prerequisites
Courses Offered
This graduate-level course provides a comprehensive, hands-on foundation in securing cloud environments across AWS, Azure, and GCP. Students will learn to design, implement, and assess secure cloud infrastructure aligned with industry best practices and compliance standards.
Through a combination of lectures, case studies, and interactive labs, students will gain practical experience in securing identity and access management (IAM), data protection, network segmentation, and secure DevOps pipelines. Modules also cover advanced topics including Kubernetes and container security, infrastructure as code (IaC) security, AI-driven threat detection, and ethical cloud penetration testing using tools.
Students will evaluate real-world security incidents and develop response strategies, build automated security workflows, and apply standards such as NIST, SOC 2, GDPR, and FedRAMP. A team-based project challenges students to architect and implement a secure cloud solution for a hypothetical enterprise and present a risk assessment to peers and instructors.