
AI-Ready DevSecOps Live Project on EKS
Build a Production-Grade AI-Augmented DevSecOps Pipeline — Not Just Tutorials. Real Systems. Real Security. Real Deployment.
Deploy a production-grade DevSecOps CI/CD pipeline with AI integrated at every security stage — on AWS EKS with real enterprise architecture. Most courses teach tools in isolation. This project teaches you how to build secure, automated pipelines used in real companies: AI-powered secret detection, vulnerability analysis, policy-as-code enforcement, and live Kubernetes deployment — the same security infrastructure that powers enterprise engineering teams at scale.
One-Time Fee
Offer price ₹2,249 valid till 28 Apr — ₹2,499 after that.
2 Days (Live, Hands-on)
What's Included?
Why This Project is Different 🚀
Most engineers learn Docker, learn Kubernetes, and maybe run a basic Jenkins pipeline. But in real companies, security is embedded at every stage, AI detects threats before they hit production, and policy-as-code prevents misconfigurations automatically. This is NOT a basic CI/CD project. NOT a demo-level security scan. This project teaches you exactly how modern engineering teams ship software securely at scale — with AI working at 10+ checkpoints across the pipeline. The rare skill that companies are actively hiring for in 2025.
Every Tool You Will Learn & Use 🛠️
What You'll Build 🏗️
An AI-Augmented DevSecOps CI/CD Pipeline — the security backbone of modern software delivery. Jenkins automates the pipeline, AI secures every stage automatically. You will design and deploy a fully automated pipeline that takes a developer commit all the way to a live Kubernetes workload on AWS EKS — with security enforced and AI-validated at every step.
Jenkins Pipeline
Declarative CI/CD engine orchestrating all stages
AI Secret Detection
Scans commits for exposed keys and credentials
AI Code Review
Flags logic errors and anti-patterns before build
Maven + JaCoCo
Build, test, and enforce code coverage thresholds
SonarQube SAST
Static code analysis — catches vulnerabilities early
AI Vulnerability Analysis
Contextual risk scoring of SonarQube findings
Quality Gate
Hard pass/fail enforcement before proceeding
OWASP Dependency Check
SCA — scans open-source libraries for CVEs
AI CVE Prioritization
Ranks CVEs by exploitability and business impact
Trivy Image Scanner
Scans Docker base images for OS-level CVEs
AI Container Risk Scoring
Recommends safer base images automatically
OPA + Conftest
Policy-as-code enforcement on Dockerfile and K8s
AI Policy Recommendation
Auto-suggests missing security rules
Docker + Docker Hub
Containerizes and pushes the verified image
AI Manifest Security Review
Validates RBAC, resource limits, securityContext
AWS EKS Deployment
Live Kubernetes deployment — Snake Game + Calculator
AI Runtime Threat Detection
Post-deploy monitoring for anomalies and threats
RDS (PostgreSQL)
Production-grade managed database backend
What You'll Learn in This Session 📘
End-to-End Project Modules 📚
8 hands-on steps — from Dockerfile to live Grafana dashboards
Module 1 — Day 1
Set up Jenkins pipeline, GitHub integration, and AI Secret Detection on developer commits
Module 2 — Day 1
Maven compile, AI Test Case Generation, JUnit testing, and JaCoCo coverage enforcement
Module 3 — Day 1
SonarQube SAST scan, AI Vulnerability Analysis, and Quality Gate enforcement
Module 4 — Day 1
OWASP Dependency Check (SCA), AI CVE Prioritization, and Trivy base image scan
Module 5 — Day 2
AI Container Risk Scoring, OPA Dockerfile policy validation, AI Policy Recommendations
Module 6 — Day 2
Docker image build and push to Docker Hub, OPA Kubernetes manifest validation
Module 7 — Day 2
AI Manifest Security Review — RBAC, resource limits, securityContext checks
Module 8 — Day 2
AWS EKS deployment of Snake Game + Calculator, AI Runtime Threat Detection setup
Outcomes 🎯
Who This Session Is For 👥
No prior DevOps experience required.
What You'll Get 🎁
Schedule & Logistics
Ready to Join This Webinar?
2 Days (Live, Hands-on). Live, hands-on learning. Production-ready workflows.Build a Production-Grade AI-Augmented DevSecOps Pipeline — Not Just Tutorials. Real Systems. Real Security. Real Deployment.
One-Time Fee
₹2,249
2 Days (Live, Hands-on)
Visit our Hyderabad office
Flat No.403, Nandini Residency, 15/A Addagutta Society - HMT Hills Rd, near JNTU, Addagutta Society, Jal Vayu Vihar, Kukatpally, Hyderabad, Telangana 500085


