🔐DevOps & Cloud

DevSecOps & Secure CI/CD Pipelines Training

Shift-left security testing, vulnerability scanning (Trivy, SonarQube, Dependency-Check), secret scanning (GitLeaks), and compliance policy as code.

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4.9 (Live Project Training)

Why This Program Stands Out

  • ✓Instructor-Led Live Training with Real-Time Production Labs
  • ✓Hands-on practice across Linux, Docker, Kubernetes, CI/CD, AWS & Terraform
  • ✓Job-Ready Portfolio Building & Resume Optimization
  • ✓End-to-end support from Learning -> Live Projects -> Interviews -> Job Placement
Real-World Projects Included⚙️
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DevSecOps & Secure CI/CD Pipelines Training

Hands-on Practice & Production Workflows

Duration
6 - 8 Weeks
Format
Live Online Labs

Our Secret Sauce for Exam and Career Success

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Training Mode & Deliverables

Live, 1-to-1, or corporate · Recordings & live labs

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Comprehensive Masterclass

Exam-ready + job-ready in one program

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Flexible Learning Options

Your pace · 24/7 access · Mentor support

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Lifetime Support

Resources, resume & interview prep, placement assistance

Learn DevOps Through Hands-On Practice

Build practical technology skills through instructor-led training, hands-on labs and real-world projects across DevOps, cloud, Kubernetes and AI. Rather than learning isolated command syntax from pre-recorded videos, you build end-to-end continuous integration and continuous delivery (CI/CD) pipelines, orchestrate microservices, and manage resilient cloud infrastructure hands-on.

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What You'll Learn

✓Embed SAST (Static Application Security Testing) and DAST into GitHub Actions and Jenkins.
✓Scan Docker images and Helm charts for CVE vulnerabilities using Trivy and Anchore Engine.
✓Implement secret detection hooks (GitLeaks, Trufflehog) to eliminate hardcoded API keys.
✓Define Policy as Code using Open Policy Agent (OPA) and Kyverno for Kubernetes workloads.
✓Secure secrets management using HashiCorp Vault, AWS KMS, and Kubernetes Secrets encryption.

DevOps Tools & Technologies

🛠️ Trivy🛠️ SonarQube🛠️ GitLeaks🛠️ OWASP ZAP🛠️ OPA Gatekeeper🛠️ Falco🛠️ HashiCorp Vault🛠️ Docker🛠️ Kubernetes

Course Curriculum

Module 1: DevSecOps Principles & Shift-Left Culture

Threat modeling, security gate automation, and compliance automation overview.

Module 2: Static Code & Dependency Scanning (SAST & SCA)

SonarQube quality gates, OWASP Dependency-Check, and Snyk security integration.

Module 3: Secret Detection & Repository Hygiene

Pre-commit hooks, GitLeaks, automated key rotation, and secret scrubbing.

Module 4: Container & Artifact Security Scanning

Trivy image scanning, Dockerfile hardening, non-root users, and minimal base images.

Module 5: Dynamic Security & API Vulnerability Testing (DAST)

Automated OWASP ZAP scanning against staging endpoints in CI/CD pipelines.

Module 6: Kubernetes Runtime Security & Policy as Code

OPA Gatekeeper, Kyverno admission controllers, Falco runtime anomaly detection.

Module 7: Capstone Secure Enterprise CI/CD Pipeline Project

Building a zero-trust automated pipeline enforcing security quality gates.

Who Should Take This Training?

👥DevOps Engineers
👥Security Engineers
👥Application Security Specialists
👥Cloud Architects

📋 Prerequisites

  • ✓Understanding of CI/CD concepts
  • ✓Familiarity with Docker containerization
  • ✓Basic Linux command line proficiency

🎓 Training Format

Instructor-Led Live Online Sessions | 6 Weeks | Security Labs

🏆 Certification Alignment: DevSecOps Specialist Certificate & NexGenium Course Certification

Projects & Practical Labs

Capstone Lab 1

Zero-Trust Secure CI/CD Pipeline with Automated Security Gates

Deploy a Jenkins pipeline that halts builds on critical SAST, SCA, or secret findings.

Live Lab Execution
Capstone Lab 2

Kubernetes Runtime Anomaly Detection with Falco & Kyverno

Configure real-time pod security enforcement and slack notifications for unauthorized root executions.

Live Lab Execution

Frequently Asked Questions

Enroll in DevOps Training

Start Your DevOps Learning Journey

Build practical technology skills through instructor-led training, hands-on labs and real-world projects across DevOps, cloud, Kubernetes and AI.