Cloud Computing Course Syllabus
Course Syllabus
Download SyllabusModule 1: Linux Fundamentals
- Linux architecture and command line basics
- File system management, permissions, users, and groups
- Process management, services, networking, and troubleshooting
- Real-time Linux server administration practices
Module 2: Shell Scripting & Automation
- Bash scripting fundamentals
- Variables, loops, conditions, and functions
- Automating routine administrative tasks
- Script-based monitoring and job scheduling
Module 3: AWS Cloud Fundamentals
- Cloud computing concepts and AWS global infrastructure
- AWS regions, availability zones, and services overview
- Shared responsibility model and cloud best practices
Module 4: AWS Core Services
- EC2 – Virtual servers, AMIs, key pairs, and security groups
- VPC – Subnets, routing tables, internet gateways, NAT
- S3 – Buckets, storage classes, lifecycle policies
- IAM – Users, roles, policies, MFA, and access control
- RDS & Aurora – Managed databases, backups, and availability
- Route 53 – DNS, routing policies, and domain management
Module 5: Load Balancing & Auto Scaling
- Elastic Load Balancer (ALB / NLB)
- Auto Scaling Groups and high availability design
- Fault tolerance and scalability concepts
Module 6: Monitoring & Logging
- CloudWatch – Metrics, logs, alarms, and alerts
- CloudTrail – Auditing AWS account activities
- SNS – Notifications and alert automation
Module 7: Infrastructure as Code (IaC)
- AWS CloudFormation – Template-based resource provisioning
- Terraform – Infrastructure automation, state management, and modules
Module 8: Version Control with Git
- Git repositories, branching, merging, and workflows
- Version control for DevOps pipelines and automation code
Module 9: CI/CD with Jenkins
- Jenkins installation and configuration
- Build pipelines, jobs, and automation workflows
- CI/CD pipelines for application deployment
Module 10: Containerization with Docker
- Docker architecture and components
- Creating Docker images and containers
- Docker networking, volumes, and registries
- Working with Amazon ECR
Module 11: Container Orchestration with Kubernetes
- Kubernetes architecture and components
- Pods, services, deployments, and scaling
- Kubernetes networking and configuration
- Working with Amazon EKS
Module 12: Configuration Management with Ansible
- Ansible architecture and inventory
- Playbooks, roles, variables, and automation tasks
- Server configuration and application deployment automation
Module 13: Monitoring & Observability
- Prometheus – Metrics collection and monitoring
- Grafana – Dashboards and performance visualization
Module 14: AI-Powered DevOps Enhancement
- Using AI tools to assist with scripting and automation
- AI support for infrastructure templates and monitoring logic
- Optimizing DevOps workflows using AI-assisted techniques
Module 15: Real-Time Projects & Codeathon
- End-to-end AWS DevOps project implementation
- CI/CD pipeline creation and deployment
- Monitoring, scaling, and optimization
- Team-based Codeathon experience simulating real IT environments
By completing this Cloud Computing Course Syllabus, learners gain practical exposure to cloud infrastructure, automation tools, deployment workflows, and monitoring practices. The training helps build confidence in working with cloud environments through hands-on learning and project-based practice.
