Core Courses (AWS-Focused)

1. AWS Fundamentals & Linux Essentials

Hours: 18

Prerequisites: None

Summary

Kick off with the basics of cloud computing and Linux—the OS of the cloud. Set up an AWS account, work with EC2, and explore the AWS console and CLI.

Learning Outcomes

• Understand AWS global infrastructure (regions, AZs)
• Work in a Linux shell (file navigation, permissions, SSH)
• Launch EC2 instances and connect via SSH
• Use AWS CLI for basic provisioning

2. IAM, Networking & Security Basics

Hours: 18

Prerequisites: Course 1

Summary

Master the foundations of AWS Identity and Access Management (IAM), VPC networking, and security best practices to protect cloud infrastructure.

Learning Outcomes

• Set up IAM roles, groups, and policies
• Design VPCs with subnets, route tables, and security groups
• Configure NAT Gateways and Internet Gateways
• Understand shared responsibility model and encryption

3. AWS Storage Services (S3, EBS, EFS, Glacier)

Hours: 12

Prerequisites: Course 1

Summary

Explore storage options in AWS, including scalable object storage (S3), persistent block storage (EBS), and backups/archive.

Learning Outcomes

• Create and manage S3 buckets (versioning, lifecycle policies)
• Use EBS volumes with EC2 instances
• Set up backup strategies and lifecycle transitions
• Work with encryption and access control in storage

4. AWS Compute: EC2, Auto Scaling, and Load Balancing

Hours: 18

Prerequisites: Course 2

Summary

Deep dive into EC2-based compute, elasticity, and scalability through Load Balancers and Auto Scaling Groups.

Learning Outcomes

• Launch and configure EC2 with custom AMIs
• Set up Application Load Balancers and Target Groups
• Configure Auto Scaling Groups for high availability
• Monitor performance using CloudWatch

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5. Infrastructure as Code with CloudFormation

Hours: 18

Prerequisites: AWS familiarity

Summary

Learn how to automate AWS provisioning using CloudFormation templates. Build repeatable, version-controlled stacks.

Learning Outcomes

• Write and deploy CloudFormation templates (YAML/JSON)
• Deploy EC2, VPC, and S3 resources using IaC
• Manage stack updates and rollback
• Use nested stacks and parameters for flexibility

6. Containers with Docker on AWS

Hours: 18

Prerequisites: Linux, AWS CLI

Summary

Containerize applications with Docker and deploy them using ECS (Fargate) or EC2 launch types.

Learning Outcomes

• Create Docker images and run containers
• Push to AWS Elastic Container Registry (ECR)
• Deploy containers on ECS with Fargate
• Configure task definitions and clusters

7. Serverless Computing with AWS Lambda & API Gateway

Hours: 18

Prerequisites: Python or Node.js basics

Summary

Build serverless apps using Lambda functions, triggered by events or APIs, with no server management.

Learning Outcomes

• Create and deploy Lambda functions
• Use triggers: S3, API Gateway, CloudWatch
• Build RESTful APIs with Lambda + API Gateway
• Manage versions and permissions (IAM roles for Lambda)

8. CI/CD with AWS CodePipeline, CodeBuild, and GitHub

Hours: 18

Prerequisites: Git, Docker

Summary

Automate testing and deployment pipelines using AWS-native tools. Ideal for DevOps readiness.

Learning Outcomes

• Create pipelines using CodePipeline and CodeBuild
• Integrate with GitHub for automatic deployment
• Use CloudWatch to trigger rollbacks or alerts
• Deploy Docker containers and Lambda via pipelines

9. Capstone Project: Full AWS Stack Deployment

Hours: 12

Prerequisites: Completion of prior courses

Summary

Design and deploy a multi-tier cloud system using EC2, S3, RDS, IAM, Lambda, and CloudFormation. Present findings and architectural decisions.

Learning Outcomes

• Design secure and scalable AWS architectures
• Automate infrastructure provisioning
• Document and present deployment architecture
• Showcase project in a professional portfolio