Build Complete DevSecOps Pipeline with Container Based Delivery, CI/CD on Kubernetes with all Open Source Tools
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:
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Core DevSecOps principles and the secure software delivery lifecycle
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How to build a CI/CD pipeline with Jenkins on Kubernetes
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Software Composition Analysis (SCA) using OWASP Dependency-Check, Pyraider, and Dependency-Track
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Static and Dynamic Application Security Testing (SAST & DAST) using slscan and OWASP ZAP
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Securing container images using Trivy, Dockle, and multi-stage Dockerfiles
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Enforcing compliance as code using InSpec and Ansible
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Secrets management using HashiCorp Vault and Kubernetes RBAC
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Runtime security monitoring using Falco with automated response pipelines
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Secure deployment workflows with GitOps using ArgoCD and Kubernetes
Tools and Technologies You Will Use:
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Jenkins, Helm, Kubernetes (GKE), ArgoCD
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Trivy, Dockle, OWASP ZAP, slscan, Pyraider
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Vault, InSpec, Ansible, Falco, Argo Workflows
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Docker, Kubernetes RBAC, GitHub, GitOps
Who Should Take This Course:
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DevOps and Cloud Engineers who want to add security to their toolbelt
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AI/ML Engineers deploying models and services on Kubernetes
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Platform Engineers managing modern microservices at scale
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Security Engineers transitioning to DevSecOps practices
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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.
Total Students | 7215 |
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Duration | 9.5 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 147 |
Number of quizzes | 0 |
Total Reviews | 5 |
Global Rating | 4.6 |
Instructor Name | Gourav J. Shah |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 9.5 hours
- Practical value: 7/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Best Practices
- Hands On
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
Watch-outs
- Incomplete
Difficulty
Best suited for
New learners starting from zero
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