Kubernetes in Cloud Security with AI

Catalog description

This course explores the security of Kubernetes clusters in cloud environments with a focus on container orchestration, pod hardening, role-based access control (RBAC), encryption, and ingress/egress controls. Students analyze common vulnerabilities in containerized systems and apply best practices to strengthen cluster defenses. Artificial intelligence (AI) tools are integrated into labs and exercises to enhance monitoring, anomaly detection, and automated response. Hands-on labs guide learners through securing Kubernetes deployments, implementing resilience strategies, and meeting compliance requirements in real-world scenarios. By combining technical depth with AI-augmented approaches, students gain practical experience in protecting containerized environments and develop skills highly valued in cloud security operations.