Live Projects

Projects that mirror production

Every project is inspired by real enterprise environments and follows production workflows — cloud infrastructure, CI/CD automation, Kubernetes orchestration, DevSecOps security, observability and AI-native application deployment.

Explore Courses

What you will build

Seven production-style projects, each ending in something you can publish on GitHub and defend in an interview.

🔄DevOps Core

CI/CD Pipeline — End to End

Build a production-grade CI/CD pipeline from scratch using Jenkins & GitHub Actions. Deploy a real application across Dev, Stage, and Prod environments — fully automated with zero downtime.

JenkinsGitHub ActionsDockerSonarQubeNexus

Zero-downtime deployment pipeline

☁️Cloud & IaC

Multi-Cloud Infrastructure with Terraform

Provision and manage scalable infrastructure across AWS and Azure using Terraform IaC. Build VPC, EKS clusters, IAM roles, and security groups — entirely from code, not the console.

TerraformAWSAzureVPCEKS

Full cloud infra managed as code

⚙️Kubernetes

Kubernetes Cluster & Microservices

Deploy a microservices application on a Kubernetes cluster with auto-scaling, load balancing, rolling updates, and RBAC security — the way enterprise teams run it in production.

KubernetesHelmDockerArgoCDRBAC

Live K8s cluster deployed

🔐DevSecOps

DevSecOps — Security in the Pipeline

Integrate SAST, DAST, and container vulnerability scanning into CI/CD. Catch security issues before they hit production — exactly how Fortune-500 security teams operate.

TrivyOWASP ZAPSnykSonarQubeVault

Security-first pipeline live

📊SRE / Monitoring

Monitoring & Observability Stack

Set up a full observability platform with Prometheus, Grafana, and the ELK Stack. Build dashboards and alerting rules that mirror what real SRE teams watch 24/7 in production.

PrometheusGrafanaELK StackAlertmanagerJaeger

Real-time SRE dashboard live

🚀Cloud Native

Cloud-Native App Deployment

Take a real web application from code to cloud — containerize it, push to a registry, deploy on Kubernetes, configure a CDN, and wire up auto-scaling policies end to end.

DockerECRECSCloudFrontLambda

Production app live on cloud

🤖AI + Kubernetes

Scalable AI Agents Platform on Kubernetes

Build and deploy a production-grade AI Agents platform on Kubernetes — implementing MCP (Model Context Protocol) for tool integration and Agent-to-Agent communication patterns for multi-agent orchestration.

KubernetesMCPLangGraphHelmgRPCDocker

Live multi-agent AI platform on K8s

Technologies you will work with

Depending on your program, you will gain hands-on experience with:

Azure & AWSDockerKubernetesJenkinsGitHub ActionsTerraformHelmArgo CDPrometheusGrafanaELK StackSonarQubeTrivyOWASP ZAPMCP (Model Context Protocol)Azure Foundry AIMicrosoft Agentic FrameworkAWS BedrockLangGraphgRPCAI-powered engineering tools

How projects run

  1. 1

    Scoped like a real ticket

    Every project starts with a requirement and acceptance criteria, delivered through Agile Scrum.

  2. 2

    Built with instructor guidance

    Beginners and experienced professionals alike work through a structured, step-by-step approach.

  3. 3

    Reviewed and corrected

    Personalized feedback on your implementation — not just a completion tick.

  4. 4

    Published to GitHub

    Documented repositories that recruiters and hiring managers can actually review.

  5. 5

    Defended in mock interviews

    You explain your architecture decisions before you have to do it for real.

How live projects feed into placement

Live Projects FAQs

What you build, which technologies are involved, and how projects help you get hired.

Build a portfolio recruiters can verify

Join a free demo and walk through a live project with a mentor.

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