DEVOPS & CLOUD ENGINEERING

3-Month Industry-Oriented Training Programme

Duration

3 Months | 12 Weeks | Practical + Project-Based Training

MONTH 1 — FOUNDATIONS

Weeks 1–2: Linux & DevOps Fundamentals

• Linux Fundamentals — Introduction to Linux/Unix, filesystem structure, essential commands, users, groups, permissions, ownership and package management.

• Linux Administration — Processes, services, systemctl, logs, SSH, networking, disk management and basic server security.

• Bash Scripting — Variables, conditions, loops, functions and automation scripts for common administration tasks.

• DevOps Fundamentals — DevOps culture, lifecycle, Agile, CI/CD, DevSecOps, SRE and DORA metrics.

• DevOps Tools Overview — Understand the role of Git, GitHub, Jenkins, Docker, Kubernetes, Terraform, Ansible and AWS in a modern DevOps environment.
  
  

Practical Project

Linux Server Administration — Configure a Linux server, deploy a web service and automate administration tasks using Bash.

Weeks 3–4: Git, GitHub & AWS Fundamentals

• Git & GitHub — Repositories, commits, branches, merging, rebasing, remote repositories, Pull Requests and collaborative workflows.

• Advanced Git — Conflict resolution, stash, reset, revert, cherry-pick, tags and Git branching strategies.

• Cloud Computing — Cloud concepts, IaaS/PaaS/SaaS, public/private/hybrid cloud, scalability, elasticity and shared responsibility.

• AWS Fundamentals — AWS Regions, Availability Zones, IAM and essential cloud security concepts.

• AWS Compute & Storage — EC2, AMIs, EBS, S3, Launch Templates and basic Auto Scaling.

• AWS Networking — VPC, subnets, route tables, Internet Gateway, NAT Gateway and Security Groups.

Practical Project

AWS Web Server Project — Deploy a secure Linux web server on AWS using EC2, VPC, IAM, Security Groups and S3.

MONTH 2 — AUTOMATION & CONTAINERS

Weeks 5–6: Terraform & Ansible

• Infrastructure as Code — Understand how infrastructure can be created, changed and managed through code.

• Terraform Fundamentals — Providers, resources, variables, outputs, state and Terraform CLI.

• Terraform with AWS — Provision VPC, subnets, security groups, EC2, S3 and other AWS resources automatically.

• Terraform Modules — Create reusable and maintainable infrastructure components.

• Configuration Management — Understand the need for consistent and automated server configuration.

• Ansible Fundamentals — Inventory, modules, ad-hoc commands, playbooks, variables, conditions and loops.

• Ansible Advanced Concepts — Templates, handlers, roles, Jinja2 and Ansible Vault.

Practical Project

AWS Infrastructure Automation — Provision AWS infrastructure using Terraform and configure multiple Linux servers using Ansible.

Weeks 7–8: Docker & Containerization

• Container Fundamentals — Understand containers, container architecture and the difference between containers and virtual machines.

• Docker — Docker Engine, images, containers, registries and essential Docker commands.

• Dockerfiles — Build application images using best practices and multi-stage builds.

• Docker Storage & Networking — Work with volumes, networks and persistent application data.

• Docker Compose — Build and run multi-container applications.

• Container Security — Use minimal images, non-root containers and vulnerability scanning.

• Container Registry — Introduction to Docker Hub and Amazon ECR.

Practical Project

Containerized Application — Dockerize a multi-tier application containing an application service and database, and deploy it using Docker Compose.

MONTH 3 — KUBERNETES, CI/CD & DEVSECOPS

Weeks 9–10: Kubernetes & AWS Containers

• Kubernetes Fundamentals — Understand Kubernetes architecture, control plane, worker nodes and cluster components.

• Kubernetes Workloads — Work with Pods, Deployments and ReplicaSets.

• Kubernetes Networking — Services, ClusterIP, NodePort, LoadBalancer and Ingress.

• Configuration & Secrets — Use ConfigMaps and Secrets to manage application configuration.

• Kubernetes Storage — Persistent Volumes, Persistent Volume Claims and Storage Classes.

• Application Scaling — Configure replicas, resource limits and Horizontal Pod Autoscaling concepts.

• Kubernetes Troubleshooting — Diagnose Pods, deployments, services, networking and application failures.

• AWS EKS — Introduction to managed Kubernetes on AWS and deploying applications to EKS.

Practical Project

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Kubernetes Deployment — Deploy the Dockerized application to Kubernetes with Services, Ingress, Secrets, persistent storage and scaling.

Weeks 11–12: CI/CD, DevSecOps, GitOps & Monitoring

• CI/CD Fundamentals — Understand Continuous Integration, Continuous Delivery and Continuous Deployment.

• GitHub Actions — Build automated workflows for testing, building Docker images and deploying applications.

• Jenkins — Learn Jenkins architecture, pipelines, Jenkinsfile, credentials and automated builds.

• DevSecOps — Integrate security into the development and deployment lifecycle.

• Security Scanning — Use SonarQube, Trivy and IaC security scanning to identify vulnerabilities.

• GitOps — Understand Git as the source of truth and use Argo CD for Kubernetes deployments.

• Monitoring — Introduction to Prometheus, Grafana and AWS CloudWatch.

• Observability — Understand logs, metrics, traces, alerting and OpenTelemetry fundamentals.

• Production Practices — Learn deployment strategies, rollback, high availability, backup, disaster recovery and basic SRE practices.

Final Capstone Project

End-to-End DevSecOps Deployment

Build a complete production-style workflow:

GitHub → GitHub Actions/Jenkins → Testing → Security Scan → Docker → Amazon ECR → Kubernetes/EKS → Argo CD → Prometheus/Grafana

Students will provision infrastructure using Terraform, configure servers using Ansible, containerize the application using Docker, deploy it using Kubernetes, automate delivery using CI/CD & GitOps, and monitor it using Prometheus/Grafana/CloudWatch.

Technology Stack

• Linux & Bash — Server administration and automation
• Git & GitHub — Version control and collaboration
• AWS — Cloud infrastructure
• Terraform — Infrastructure as Code
• Ansible — Configuration management
• Docker — Containerization
• Kubernetes / EKS — Container orchestration
• GitHub Actions / Jenkins — CI/CD
• Argo CD — GitOps
• SonarQube / Trivy — DevSecOps
• Prometheus / Grafana / CloudWatch — Monitoring and observability

Training Highlights

• 3 Months of Practical Training — Structured learning from fundamentals to production-level DevOps.

• Hands-on Labs — Every major technology is supported by practical implementation.

• Live Cloud Projects — Work with AWS infrastructure and real deployment scenarios.

• Daily Assignments — Reinforce concepts through regular practical tasks.

• Real-World Troubleshooting — Learn to identify and resolve Linux, AWS, Docker and Kubernetes issues.

• Industry-Ready Projects — Build projects that can be added to a professional GitHub portfolio.

• End-to-End Capstone — Integrate cloud, IaC, automation, containers, Kubernetes, CI/CD, security and monitoring into one project.

• Interview Preparation — Technical questions, troubleshooting scenarios, project discussion and mock interviews.

• Career-Oriented Learning — Prepare for roles such as DevOps Engineer, Cloud Engineer, Junior SRE and Cloud/Infrastructure Engineer.