Build practical skills to secure cloud-native DevSecOps environments, detect runtime threats, verify software artifact integrity, and apply AIOps for intelligent monitoring and incident response. You will work with AWS IAM, Secrets Manager, Terraform, Checkov, Amazon ECR, Inspector, Falco, Syft, Cosign, Prometheus, Grafana, Elasticsearch, and Python-based AI techniques. The course progresses from securing cloud identities, secrets, infrastructure, and container images to monitoring runtime behavior and validating trusted software artifacts. You will then apply anomaly detection, log analysis, security-event correlation, predictive monitoring, and Generative AI to support DevSecOps operations. Hands-on demonstrations help you investigate abnormal behavior, forecast emerging reliability issues, correlate operational and security evidence, and generate evidence-based remediation recommendations. By the end of the course, you will be able to combine preventive security, runtime detection, software supply chain protection, and AI-assisted operations into an integrated DevSecOps security workflow.