DEVOPS & CLOUD ENGINEERING

45-Day Training Programme

Phase 1 — Day 1 to Day 14

Linux, DevOps Fundamentals & Git

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

• Linux Administration — Process and service management, systemctl, logs, SSH, networking basics, disk management and basic Linux security.

• Bash Scripting — Variables, conditions, loops, functions, exit codes and scripts for basic system and deployment automation.

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

• Git & GitHub — Git installation, repositories, commits, branches, merge, rebase, remote repositories, Pull Requests, conflict resolution and collaborative Git workflows.
  
  

Practical Outcome

Linux + Git Project — Configure a Linux server, automate basic administration using Bash and manage the project through Git/GitHub.

Phase 2 — Day 15 to Day 28

AWS Cloud, Terraform & Ansible

• AWS Cloud Fundamentals — Cloud computing, AWS Regions and Availability Zones, IAM, shared responsibility model and cloud security fundamentals.

• AWS Networking — VPC, CIDR, public/private subnets, route tables, Internet Gateway, NAT Gateway, Security Groups and basic AWS networking.

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

• AWS Database Services — Introduction to RDS, MySQL/PostgreSQL, backups, Multi-AZ and connecting applications with databases.

• Terraform — Infrastructure as Code, providers, resources, variables, outputs, state, modules and provisioning AWS infrastructure using Terraform.

• Ansible — Configuration management, inventory, playbooks, variables, loops, handlers, templates, roles and automated server configuration.
  
  

Practical Outcome

AWS Automation Project — Create AWS infrastructure using Terraform and automatically configure EC2 servers using Ansible.

Phase 3 — Day 29 to Day 42

Docker, Kubernetes, CI/CD & DevSecOps

• Docker & Containers — Container concepts, Docker architecture, images, containers, Dockerfiles, volumes, networks, multi-stage builds and Docker Compose.

• Kubernetes — Kubernetes architecture, Pods, Deployments, Services, ConfigMaps, Secrets, Ingress, storage, health checks and scaling.

• AWS Containers — Introduction to Amazon ECR, ECS, Fargate and Amazon EKS for running containerized applications on AWS.

• CI/CD — Build automated pipelines using GitHub Actions and Jenkins for code build, testing, Docker image creation and deployment.

• DevSecOps — Integrate security into CI/CD using tools such as SonarQube, Trivy and IaC security scanning.

• GitOps — Introduction to GitOps and Argo CD for automated Kubernetes deployments.

• Monitoring & Observability — Introduction to Prometheus, Grafana, CloudWatch, logs, metrics, alerts and OpenTelemetry.
  
  

Practical Outcome

End-to-End DevOps Project — Build a pipeline from GitHub → CI/CD → Docker → Container Registry → Kubernetes → Monitoring.

FINAL 3 DAYS — Day 43 to Day 45

Capstone, Assessment & Interview Preparation

• Capstone Project — Build and deploy a complete production-style application using Git, AWS, Terraform, Ansible, Docker, Kubernetes and CI/CD.

• DevSecOps Implementation — Add automated code quality, vulnerability and container security checks to the deployment pipeline.

• Monitoring & Troubleshooting — Monitor the application and troubleshoot common Linux, Docker, Kubernetes, networking and deployment issues.

• Project Presentation — Demonstrate the complete project and explain the architecture, tools and deployment process.

• Technical Assessment — Evaluate practical knowledge through hands-on tasks and troubleshooting scenarios.

• Interview Preparation — DevOps interview questions, real-world scenarios, resume guidance, GitHub portfolio review and mock interview.

Technology Stack

• Linux — 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

• 100% Practical Training — Hands-on labs and real-world implementation throughout the programme.

• Live Projects — Build practical AWS, Docker, Kubernetes and CI/CD projects.

• Industry-Relevant Technologies — Learn the modern DevOps toolchain used across cloud environments.

• Daily Assignments — Practice every major concept through structured assignments.

• Experienced Mentors — Learn through practical demonstrations, troubleshooting and project guidance.

• Portfolio Development — Build GitHub projects that can be showcased during interviews.

• Final Capstone Project — Complete an end-to-end DevOps implementation covering cloud, automation, containers, CI/CD, security and monitoring.

• Career & Interview Preparation — Prepare for DevOps, Cloud Engineer, SRE and related technical roles.