DevOps & Cloud Systems
Deploy and scale applications using Docker, Kubernetes, and major cloud providers.
What you'll learn
- 14 Weeks Program
- Infrastructure as Code
- Cloud Professional Cert
Course Description
DevOps & Cloud Systems is a comprehensive course designed to equip students and IT professionals with the skills required to automate software delivery, manage cloud infrastructure, implement CI/CD pipelines, and operate scalable, reliable systems in modern cloud environments.
The course covers DevOps culture, Linux administration, Git, Docker, Kubernetes, Infrastructure as Code (IaC), cloud platforms, monitoring, logging, security, and Site Reliability Engineering (SRE). Students will gain hands-on experience building cloud-native applications and deploying production-ready systems using industry-standard tools and best practices.
Course Learning Outcomes
Upon successful completion of this course, students will be able to:
- Understand DevOps culture and practices.
- Manage Linux servers and cloud infrastructure.
- Use Git for version control and collaboration.
- Build CI/CD pipelines for automated deployment.
- Containerize applications using Docker.
- Deploy and manage Kubernetes clusters.
- Automate infrastructure using Terraform and Ansible.
- Implement monitoring, logging, and alerting solutions.
- Secure cloud environments and DevOps pipelines.
- Design scalable and highly available cloud architectures.
Course Outline
Module 1: Introduction to DevOps
Topics
- DevOps Fundamentals
- DevOps Culture
- Agile & DevOps
- Software Development Lifecycle (SDLC)
- DevOps Lifecycle
- DevOps Roles & Responsibilities
Lab Activities
- DevOps Workflow Simulation
- SDLC Case Study
Module 2: Linux Administration for DevOps
Topics
- Linux Fundamentals
- File Systems
- User & Group Management
- Permissions
- Process Management
- Shell Scripting
Lab Activities
- Linux Server Administration
- Shell Script Automation
Module 3: Version Control with Git
Topics
- Git Fundamentals
- Repository Management
- Branching Strategies
- Merge & Rebase
- Pull Requests
- Git Workflows
Lab Activities
- Team Collaboration Using Git
- GitHub Workflow Practice
Module 4: CI/CD Fundamentals
Topics
- Continuous Integration
- Continuous Delivery
- Continuous Deployment
- Build Automation
- Deployment Pipelines
- CI/CD Best Practices
Tools
- Jenkins
- GitHub Actions
Lab Activities
- Build CI/CD Pipeline
- Automated Deployment Workflow
Module 5: Containerization with Docker
Topics
- Docker Architecture
- Images and Containers
- Dockerfile
- Docker Compose
- Container Networking
- Container Security
Lab Activities
- Containerize Spring Boot Application
- Multi-Container Deployment
Module 6: Kubernetes Orchestration
Topics
- Kubernetes Architecture
- Pods
- Deployments
- Services
- ConfigMaps
- Secrets
- Ingress Controllers
Lab Activities
- Deploy Application on Kubernetes
- Configure Load Balancing
Module 7: Infrastructure as Code (IaC)
Topics
- Infrastructure Automation
- Terraform Basics
- Terraform Modules
- State Management
- Provisioning Cloud Resources
Tools
- Terraform
Lab Activities
- Provision Cloud Infrastructure
- Deploy Infrastructure with Terraform
Module 8: Configuration Management
Topics
- Configuration Management Concepts
- Ansible Fundamentals
- Playbooks
- Roles
- Variables
- Automation Workflows
Tools
- Ansible
Lab Activities
- Automate Server Configuration
- Application Deployment Automation
Module 9: Cloud Computing Fundamentals
Topics
- Cloud Service Models
- IaaS, PaaS, SaaS
- Cloud Architecture
- High Availability
- Scalability
- Disaster Recovery
Lab Activities
- Cloud Architecture Design
- Cloud Resource Planning
Module 10: Cloud Platforms
Topics
- AWS Fundamentals
- Azure Fundamentals
- Google Cloud Fundamentals
- Virtual Machines
- Networking Services
- Storage Services
Platforms
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
Lab Activities
- Deploy Applications to Cloud
- Configure Cloud Services
Module 11: Monitoring and Logging
Topics
- Observability Concepts
- Metrics Monitoring
- Centralized Logging
- Alerting
- Dashboard Design
- Performance Monitoring
Tools
- Prometheus
- Grafana
- Elastic Stack
Lab Activities
- Build Monitoring Dashboard
- Configure Alerting System
Module 12: Security in DevOps (DevSecOps)
Topics
- DevSecOps Fundamentals
- Security Automation
- Secret Management
- Vulnerability Scanning
- Compliance
- Secure CI/CD Pipelines
Lab Activities
- Security Scanning Pipeline
- Secrets Management Implementation
Module 13: Deployment Strategies
Topics
- Blue-Green Deployment
- Canary Release
- Rolling Update
- Rollback Strategies
- Feature Toggles
Lab Activities
- Implement Deployment Strategies
- Production Release Simulation
Module 14: Site Reliability Engineering (SRE)
Topics
- SRE Principles
- SLI, SLO, SLA
- Reliability Engineering
- Incident Management
- Capacity Planning
- Error Budgets
Lab Activities
- Incident Response Simulation
- Reliability Assessment
Module 15: DevOps Best Practices
Topics
- Automation First
- Infrastructure Standards
- Collaboration & Communication
- Documentation
- Scalability
- Performance Optimization
Lab Activities
- DevOps Maturity Assessment
- Best Practices Workshop
Capstone Project
Students will design and deploy a complete cloud-native application platform.
Deliverables
- Source Code Repository
- Dockerized Application
- Kubernetes Deployment
- CI/CD Pipeline
- Terraform Infrastructure
- Monitoring Dashboard
- Security Implementation
- Technical Documentation
- Final Presentation
Sample Projects
- Microservices Deployment Platform
- Loan Origination System DevOps Pipeline
- Banking CI/CD Automation Platform
- Kubernetes Cluster Management
- Cloud Infrastructure Automation
- E-Commerce Deployment Platform
- Monitoring & Observability Dashboard
- SaaS Application Deployment Architecture
Assessment Breakdown
| Assessment | Weight |
|---|---|
| Assignments | 15% |
| Practical Labs | 25% |
| Midterm Project | 20% |
| Final Capstone Project | 30% |
| Participation | 10% |
Recommended Tools
Version Control
- Git
- GitHub
Containerization
- Docker
- Kubernetes
CI/CD
- Jenkins
- GitHub Actions
Infrastructure Automation
- Terraform
- Ansible
Monitoring
- Prometheus
- Grafana
- Elastic Stack
Cloud Platforms
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
Career Opportunities
- DevOps Engineer
- Cloud Engineer
- Site Reliability Engineer (SRE)
- Platform Engineer
- Infrastructure Engineer
- Cloud Solutions Architect
- Release Engineer
- Automation Engineer
- Systems Engineer
- DevSecOps Engineer
Duration: 12–15 Weeks (60–75 Hours)
Prerequisite: Basic Linux, Networking, and Programming Knowledge
Target Audience: Software Developers, System Administrators, Cloud Engineers, IT Professionals, and Computer Science Students seeking careers in DevOps and Cloud Engineering.
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