What You'll Learn
- Understand the core principles of DevSecOps and how they integrate into modern software delivery pipelines.
- Set up a complete learning environment using Google Cloud Platform, Kubernetes (GKE), and essential DevOps tools.
- Build a secure CI/CD pipeline using Jenkins, Helm, Docker, and Kubernetes.
- Implement Software Composition Analysis (SCA) using OWASP Dependency-Check, Pyraider, and Dependency-Track to identify and manage third-party risks.
- Apply Static Application Security Testing (SAST) using tools like slscan and integrate them into your CI/CD pipeline.
- Conduct Dynamic Application Security Testing (DAST) using OWASP ZAP during deployment stages to catch runtime vulnerabilities.
- Harden container images using Dockle, Trivy, and multi-stage Dockerfiles to reduce the attack surface.
- Manage sensitive credentials and enforce secure secrets injection using HashiCorp Vault with Kubernetes.
- Enforce system-level compliance and infrastructure hardening using InSpec and Ansible as Compliance-as-Code tools.
- Secure Kubernetes workloads by implementing security contexts, Pod security policies, resource limits, and runtime scanning tools like Falco.
- Build and deploy AI/ML and containerized applications securely using GitOps practices with ArgoCD.
- Automate runtime anomaly detection and remediation using Falco and Argo Workflows.
- Understand the Software Bill of Materials (SBOM) and integrate SBOM generation into your pipeline.
- Design an end-to-end secure DevOps pipeline for real-world applications, from code to production, with continuous security monitoring.
Requirements
- Familiarity with DevOps concepts and basic CI/CD workflows is recommended.
- Prior experience with Docker and Kubernetes is helpful but not mandatory.
- Access to a GCP account or any cloud environment for hands-on labs.
- No deep security knowledge required — everything is explained step by step.
Who This Course is For
- DevOps, Cloud, and Platform Engineers looking to build secure delivery pipelines.
- AI/ML Engineers deploying models and services on Kubernetes or in production environments.
- Developers who want to integrate security into their DevOps workflows.
- Security professionals and SREs transitioning into DevSecOps roles.
- Anyone responsible for deploying, securing, and maintaining modern applications at scale.
Your Instructor
Gourav J. Shah
Premium Instructor | 200,000+ Students | DevOps/AIOps/MLOps
4.4 Instructor Rating
4,990 Reviews
197,477 Students
27 Courses
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