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Cloud-Native Security and AIOps for DevSecOps

Edureka via Coursera

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

3 weeks, 2 hours a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Overview

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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.

Syllabus

Cloud-Native DevSecOps
- This module explores cloud-native DevSecOps security across identity, secrets, infrastructure, containers, and cloud workloads. You will apply security controls to protect AWS environments throughout the build, deploy, and operate stages.
Runtime and Software Supply Chain Security
- This module explores runtime security across hosts, containers, and Kubernetes, along with software supply chain protection. You will detect suspicious runtime activity, investigate security events, and establish artifact trust using SBOMs and digital signatures.
AIOps in DevSecOps
- This module explores AIOps techniques for monitoring, anomaly detection, event correlation, predictive analysis, and incident response. You will use operational and security telemetry to identify emerging issues and support evidence-based DevSecOps decisions.