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Duration: 3 MonthsFormat: Live Online + Cloud LabsCloud & Data Engineering

DevOps & Cloud Infrastructure Engineering

Practical DevOps program covering Docker containerization, Kubernetes cluster orchestration, Terraform Infrastructure-as-Code, and CI/CD pipelines on AWS/Azure.

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Program Snapshot
Weekly Commitment:8-10 Hours/Week
Language:English
Next Batch:Starts 2nd Saturday of Next Month
Certificate Issuer:AAROHA Technologies Certificate of Course Completion
Interactive CohortLive + Practical Labs

Course Overview

Master modern DevOps practices. Learn to automate infrastructure using Terraform, package applications with Docker, orchestrate scalable workloads on Kubernetes (EKS/AKS), and construct zero-downtime CI/CD pipelines using GitHub Actions and Azure DevOps.

Quick Facts

Weekly Commitment8-10 Hours/Week
Language of InstructionEnglish
Batch OptionsWeekend & Evening Options
PrerequisitesBasic Linux command-line and networking knowledge recommended

Who Should Join

Target Audience

  • System Administrators transitioning to DevOps & Cloud Architecture
  • Software Developers wanting to automate release pipelines and infrastructure
  • IT professionals seeking high-demand DevOps engineering certification

Expected Baseline Knowledge

  • Basic Linux command-line understanding (cd, ls, grep, permissions)
  • Basic understanding of web networking (HTTP, DNS, Ports)
  • Cloud free-tier account readiness (AWS or Azure)

What You Will Learn

Write Infrastructure-as-Code (IaC) scripts using Terraform to provision AWS/Azure resources
Containerize microservice applications using Docker and Docker Compose
Deploy, scale, and manage container workloads on Kubernetes (EKS/AKS) clusters
Construct automated CI/CD build and release pipelines using GitHub Actions & Azure DevOps
Configure cloud monitoring, logging, and alerting using Prometheus, Grafana, and CloudWatch

Curriculum Modules

3 Modules

Each module combines theoretical concepts, practical coding exercises, and milestone assessments.

Learning Objective:Master Linux server commands, bash scripting, and Docker container packaging.
Topics Covered:
Linux System AdminBash Shell ScriptingDocker Images & ContainersDocker ComposeMulti-stage Builds
Practical Exercise:Containerize a multi-tier web app (Node.js + PostgreSQL) into optimized Docker images.
Assessment Method:Docker containerization practical test.

Hands-on Student Projects

Clearly structured practice exercises and end-to-end simulated capstone projects.

Practice ProjectProject #1

Practice Project: Automated GitHub Actions CI/CD Pipeline

Problem Addressed: Automate testing and deployment of a web application to AWS EC2.

What You Build:

A GitHub Actions workflow triggered on git push, building Docker images and running tests.

Expected Deliverables:
  • GitHub Actions workflow YAML file
  • Deployment execution log
Tools Used:GitHub ActionsDockerAWS EC2Bash
Mentor Review Process: Code review during practical lab session.
Simulated Business ProjectProject #2

Simulated Business Project: Enterprise Kubernetes Infrastructure & Microservices CI/CD

Problem Addressed: An enterprise requires automated zero-downtime deployment for a 4-microservice application on a Kubernetes cluster with Terraform infrastructure provisioning and Grafana monitoring.

What You Build:

Terraform code provisioning AWS EKS, Dockerized microservice manifests, Helm charts, GitHub Actions CI/CD pipelines, and Grafana monitoring dashboards.

Expected Deliverables:
  • Terraform infrastructure code
  • Kubernetes manifests
  • CI/CD pipeline scripts
  • Monitoring dashboard link
Tools Used:TerraformKubernetesAWS EKSDockerGitHub ActionsHelmGrafana
Mentor Review Process: 1-on-1 architecture review and live failover demonstration.

Class Experience & Learning Environment

Live Sessions

Live interactive classes with step-by-step cloud lab execution.

Recordings & Access

HD recordings available for every class.

Assignments & Work

Practical hands-on lab tasks after every module.

Doubt & Support

Slack support group with fast mentor assistance.

Lead Industry Trainer

SR

Srinivas Rao

Principal Cloud Data Architect

12+ Years Experience in Enterprise Cloud & DevOps Architecture

Teaching Responsibility: Lead DevOps Instructor

Schedule & Transparent Fees

Upcoming Batch

Starts 2nd Saturday of Next Month

Weekend Batch: Sat & Sun 2:00 PM - 5:00 PM

Total Fee & Terms

Standard fee with 3-installment payment option

Full refund prior to 2nd live class.

360° Career Assistance Scope

Substantiated referral assistance and technical preparation without misleading promises.

Resume & Portfolio

DevOps Engineer resume optimization emphasizing Terraform, Kubernetes, and CI/CD projects.

Mock Interviews

2 Technical mock interviews covering Linux, Docker, Kubernetes, and Terraform.

Technical Preparation

DevOps interview scenario banks and architecture troubleshooting prep.

Referral Network

Referral opportunities with hiring partner network.

Support Duration & Student Responsibilities:

Support Duration: 6 Months career support post-course.

Eligibility Conditions:
  • 80%+ attendance
  • Complete capstone project
  • Pass mock interview review

Frequently Asked Questions

Basic Linux command-line familiarity and basic networking knowledge are recommended.
Direct WhatsApp & Admissions Counseling

Candidate Enquiry Form

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AAROHA Quality Assurance

Join interactive cohorts taught directly by working IT practitioners. Code real-world project portfolios reviewed line-by-line before career referrals.

Course FeeStandard fee with 3-installment payment option
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