Ultimate DevSecOps Bootcamp by School of Devops, Build Complete DevSecOps Pipeline with Container Based Delivery, CI/CD on Kubernetes with all Open Source Tools.
Course Description
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 lifecycle
- How to build a CI/CD pipeline with Jenkins on Kubernetes
- Software Composition Analysis (SCA) using OWASP Dependency-Check, Pyraider, and Dependency-Track
- Static and Dynamic Application Security Testing (SAST & DAST) using slscan and OWASP ZAP
- Securing container images using Trivy, Dockle, and multi-stage Dockerfiles
- Enforcing compliance as code using InSpec and Ansible
- Secrets management using HashiCorp Vault and Kubernetes RBAC
- Runtime security monitoring using Falco with automated response pipelines
- Secure deployment workflows with GitOps using ArgoCD and Kubernetes
Tools and Technologies You Will Use:
- Jenkins, Helm, Kubernetes (GKE), ArgoCD
- Trivy, Dockle, OWASP ZAP, slscan, Pyraider
- Vault, InSpec, Ansible, Falco, Argo Workflows
- Docker, Kubernetes RBAC, GitHub, GitOps
Who Should Take This Course:
- DevOps and Cloud Engineers who want to add security to their toolbelt
- AI/ML Engineers deploying models and services on Kubernetes
- Platform Engineers managing modern microservices at scale
- Security Engineers transitioning to DevSecOps practices
- Developers building containerized applications for production
This 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.
