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100% OFF Network & Security ★ 4.6 7,215 students 9.5 hours

Ultimate DevSecOps Bootcamp by School of Devops

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:

  • 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.


Total Students 7215
Duration 9.5 hours
Language English (US)
Original Price ₹1,999
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

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Difficulty

Beginner

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Best suited for

New learners starting from zero

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