Free Udemy Course: DevSecOps Supercourse - Kubernetes/SCA/SAST/DAST/Vault/Falco

Are you building or deploying applications on Kubernetes? Whether you're a DevOps Engineer, Platform Engineer, or AI/ML Engineer, security can no longer be an afterthought.This hands-on DevSecOps Bootcamp will help you build secure, production-ready CI/CD pipelines using open-source tools and industry best practices. Learn how to integrate security across the software development lifecycle and ensure your applications are secure by design.We will walk you through step-by-step labs that combine Jenkins, Kubernetes, ArgoCD, Vault, Trivy, Falco, OWASP ZAP, and other essential tools used in modern DevSecOps workflows.This course is ideal for teams building cloud-native applications, AI/ML models, or any containerized workload that needs to be deployed securely at scale.What You Will Learn:Core DevSecOps principles and the secure software delivery lifecycleHow to build a CI/CD pipeline with Jenkins on KubernetesSoftware Composition Analysis (SCA) using OWASP Dependency-Check, Pyraider, and Dependency-TrackStatic and Dynamic Application Security Testing (SAST & DAST) using slscan and OWASP ZAPSecuring container images using Trivy, Dockle, and multi-stage DockerfilesEnforcing compliance as code using InSpec and AnsibleSecrets management using HashiCorp Vault and Kubernetes RBACRuntime security monitoring using Falco with automated response pipelinesSecure deployment workflows with GitOps using ArgoCD and KubernetesTools and Technologies You Will Use:Jenkins, Helm, Kubernetes (GKE), ArgoCDTrivy, Dockle, OWASP ZAP, slscan, PyraiderVault, InSpec, Ansible, Falco, Argo WorkflowsDocker, Kubernetes RBAC, GitHub, GitOpsWho Should Take This Course:DevOps and Cloud Engineers who want to add security to their toolbeltAI/ML Engineers deploying models and services on KubernetesPlatform Engineers managing modern microservices at scaleSecurity Engineers transitioning to DevSecOps practicesDevelopers building containerized applications for productionThis is not a theoretical course. You will be working on real-world labs and projects that simulate what modern engineering teams do to secure their software pipelines in production environments.Whether you're deploying a machine learning model, a microservice, or a SaaS product — this course will help you ensure that your deployments are secure, scalable, and compliant.