About This Course
Track 6 prepares you for the world of cloud operations, automation, containerization, and modern DevOps workflows, exactly as practiced in enterprise IT environments today. This program blends AWS, Azure, Linux administration, automation, containerization, and CI/CD into a single, job-focused learning path.
Prerequisites
- Completion of Track 3 & 4 or equivalent infrastructure experience
- Strong Linux and networking fundamentals
- Basic understanding of scripting and automation
What You'll Learn
Understand cloud computing models, virtualization, deployment architectures, and major cloud platforms.
Administer AWS services including EC2, S3, IAM, VPC, Route 53, Load Balancers, Snapshots, and CloudWatch.
Deploy and manage Azure VM, VNets, NSGs, Storage Accounts, Resource Groups, and Azure AD integrations.
Develop strong Linux administration skills for cloud, automation, scripting, and remote server management.
Learn DevOps foundations including CI/CD, pipelines, Git workflow, webhooks, and automation triggers.
Automate deployments using GitHub Actions, Bash scripting, and cloud automation tools.
Build and run Docker containers, images, Dockerfiles, and multi-container applications with Docker Compose.
Use Terraform for Infrastructure-as-Code to provision AWS resources reliably and repeatedly.
Monitor applications and infrastructure using Prometheus, Grafana, CloudWatch, and Azure Monitor.
Deploy a full cloud project with CI/CD, Docker, load balancing, DNS, and monitoring as your final capstone.
10 key skills covered
6 Months intensive training
100% Job-ready curriculum
Course Curriculum
10 modules • 61 lectures
01
Cloud Computing & Infrastructure Models
6 lectures
What is Cloud Computing?
Cloud Service Models (IaaS, PaaS, SaaS)
Cloud Deployment Models (Public, Private, Hybrid)
Virtualization vs Cloud Architecture
Major Cloud Providers (AWS, Azure, GCP overview)
Hands-On: Create Free Tier AWS & Azure Accounts
02
AWS Cloud Administration
9 lectures
AWS Console Overview
IAM (Users, Groups, Roles, Policies)
EC2: Virtual Machines on Cloud
S3: Object Storage & Bucket Policies
EBS, Snapshots, and Backups
VPC, Subnets, and Internet Gateways
Route 53 (DNS) & Load Balancing (ALB/ELB)
CloudWatch Monitoring & Logs
Hands-On: Deploy a Web Server in AWS (EC2 + S3 + LB)
03
Microsoft Azure Cloud Administration
7 lectures
Azure Portal & Resource Groups
Virtual Machines (Windows/Linux)
Azure Networking (VNet, NSG, Subnets, Peering)
Azure Storage (Blob, File, Disk)
Azure Active Directory Integration
Azure Monitor & Security Center
Hands-On: Deploy VM + Storage + Public IP + NSG Rules
04
Linux Administration for Cloud & DevOps
7 lectures
Linux File System & Permissions
Networking, Processes, and Services
Package Managers (apt, yum)
Shell Scripting Basics
SSH Configuration & Remote Access
Systemd, Logs, and Cron Jobs
Hands-On: Automate VM provisioning with a Bash script
05
Introduction to DevOps & CI/CD Concepts
5 lectures
What is DevOps? Why it matters in modern IT
Dev vs Ops vs DevOps Lifecycle
Continuous Integration vs Continuous Deployment
Tools Overview: Git, Jenkins, Docker, Terraform, Ansible
Hands-On: Install Jenkins and integrate with GitHub
06
Version Control & Automation
6 lectures
Git & GitHub Workflow
Branching, Merging, Pull Requests
Webhooks & Automated Testing
GitHub Actions for Automation
Bash Automation for Cloud Task
Hands-On: Deploy code automatically to AWS EC2 via GitHub Actions
07
Containerization with Docker
6 lectures
What is a Container? Docker vs VM
Docker Installation & Configuration
Dockerfile, Images, and Containers
Docker Compose for Multi-Container Apps
Basic Container Networking
Hands-On: Containerize a Web App (Nginx + MySQL)
08
Infrastructure as Code (IaC) Overview
5 lectures
Concept of Infrastructure as Code
Terraform Introduction (HCL syntax, providers)
Create Resources using Terraform in AWS
State Management, Variables, Outputs
Hands-On: Deploy EC2 & S3 using Terraform
09
Monitoring & Reliability
5 lectures
Observability Concepts (Metrics, Logs, Traces)
Prometheus Setup & Metrics Collection
Grafana Dashboards
AWS CloudWatch & Azure Monitor Integration
Hands-On: Monitor Application Metrics using Prometheus & Grafana
10
Cloud Project – Full Stack Deployment
5 lectures
Deploy 3-tier application using cloud + CI/CD + Docker
Configure load balancer, security groups, DNS
Implement auto-deploy pipeline via GitHub Actions
Monitor uptime and performance metrics
Final Evaluation: Deploy & Present Cloud Project
Who Should Join This Course
Track 3 and Track 4 graduates ready to step into cloud or DevOps-focused roles.
System Engineers and Network Engineers wanting to transition into cloud infrastructure jobs.
IT Support and Service Desk Engineers looking to move beyond L1/L2 into high-growth cloud roles.
Developers or testers wanting to understand deployment, automation, and cloud hosting.
Non-coding IT professionals aiming to upskill in cloud technologies and scalable environments.
Entrepreneurs and freelancers who want to deliver cloud deployments and automation services for clients.
Anyone targeting roles like Cloud Engineer, DevOps Infra Engineer, SRE Intern, or Cloud Administrator.
No IT background? No problem – we start from basics!
Course Description
You will learn how to:
- ¢ Deploy scalable servers, storage, DNS, and networks on AWS & Azure
- ¢ Automate cloud tasks using Bash, GitHub Actions, and Infrastructure-as-Code
- ¢ Manage Linux servers, processes, services, logs, and scheduled jobs
- ¢ Build Docker containers and multi-service applications using real DevOps workflows
- ¢ Create CI/CD pipelines that automatically deploy applications to the cloud
- ¢ Monitor applications using Prometheus, Grafana, and cloud-native monitoring tools
This track is highly practical — from your first week, you will be working on real cloud platforms, provisioning resources, deploying apps, automating tasks, and monitoring systems like a real DevOps engineer.
By the end of Track 6, you will deploy a full 3-tier cloud application with: Load balancer & DNS, Containers, CI/CD pipeline, Infrastructure-as-Code, and Monitoring dashboards.
This track forms the foundation for high-demand roles in Cloud Engineering, DevOps, SRE, Cybersecurity, and Enterprise Architecture.
