AWS (Amazon Web Services) Course Content – 1000 Words

Amazon Web Services (AWS) is the world’s leading cloud computing platform, powering millions of enterprises, startups, and government organizations. As companies rapidly move to the cloud, AWS skills have become essential for IT professionals, developers, DevOps engineers, data engineers, and solution architects. This AWS course is designed to provide comprehensive, hands-on training—from foundational cloud concepts to advanced architecture, automation, DevOps integration, and real-world deployment. It equips learners with the knowledge required to work confidently in cloud environments and prepares them for globally recognized certifications like AWS Cloud Practitioner, AWS Solutions Architect, AWS SysOps Administrator, and AWS DevOps Engineer.

Module 1: Introduction to Cloud Computing & AWS Fundamentals

The course begins with a deep dive into cloud computing concepts, including cloud models (IaaS, PaaS, SaaS), deployment models (Public, Private, Hybrid), and benefits such as scalability, elasticity, and cost efficiency. Students explore AWS’s global infrastructure—Regions, Availability Zones, Edge Locations, Local Zones, and Outposts. They learn about key AWS concepts like shared responsibility model, on-demand provisioning, pay-as-you-go pricing, and high availability. This module builds the foundation needed to understand every AWS service and architecture pattern introduced later in the course.

Module 2: Identity & Access Management (IAM)

Security is the core of AWS. This module teaches students how to create and manage users, groups, roles, and policies with IAM. They learn MFA setup, access keys, permissions boundaries, identity federation, and how IAM integrates with other AWS services. Hands-on labs include setting up secure IAM users, implementing least privilege access, and creating custom policies. Students also explore AWS Organizations for enterprise-level account management and Service Control Policies (SCPs).

Module 3: Compute Services (EC2, Auto Scaling, Load Balancing)

This module covers virtual servers and scalable computing services. Students learn:

Launching and managing EC2 instances

Amazon Machine Images (AMI)

Instance types (General, Compute, Memory, GPU)

Security groups and key pairs

EBS storage and snapshots

Elastic IPs and placement groups

They also explore Elastic Load Balancers (ALB, NLB), health checks, and traffic distribution techniques. Auto Scaling is covered in detail, teaching students how to create auto-scaling groups, set scaling policies, and build self-healing infrastructure. Hands-on: deploying a highly available web application using EC2 + ALB + Auto Scaling.

Module 4: AWS Storage Services

This module explains the different storage services AWS provides and when to use them:

Amazon S3 – buckets, object storage, versioning, lifecycle policies, replication, and security

S3 Glacier – archival storage

Elastic File System (EFS) – scalable file storage

Amazon FSx – Windows file servers & Lustre

Elastic Block Store (EBS) – volume types, snapshots, and encryption

Students learn how to create S3 buckets, manage object permissions, and integrate storage with applications.

Module 5: Databases on AWS

Learners explore both relational and NoSQL databases:

RDS – MySQL, PostgreSQL, SQL Server, Oracle

Amazon Aurora – high-performance database engine

DynamoDB – NoSQL database for high-scale applications

ElastiCache – Redis & Memcached caching

Amazon Redshift – data warehousing

Students practice deploying databases, creating read replicas, configuring backup policies, and optimizing performance.

Module 6: Networking & VPC

This is one of the most critical modules in AWS. Students learn:

VPCs, subnets (public/private)

Route tables, IP addressing, CIDR blocks

Internet Gateway, NAT Gateway

NACLs vs Security Groups

VPC peering

VPC endpoints

Transit Gateway

VPN & Direct Connect

Hands-on exercises include building a secure VPC architecture with public and private subnets, routing, and security layers.

Module 7: Serverless Computing

Serverless is one of the most in-demand skills in AWS. Students learn:

AWS Lambda – writing functions, triggers, layers, monitoring

API Gateway – building REST APIs

EventBridge & SNS/SQS – event-driven architecture

Step Functions – orchestration of workflows

DynamoDB integration

Students build real serverless applications using Lambda and API Gateway.

Module 8: DevOps on AWS (CI/CD Pipelines)

Modern cloud applications require DevOps practices. Students learn how AWS supports CI/CD and automation using:

CodeCommit – source control

CodeBuild – building applications

CodeDeploy – automated deployments

CodePipeline – CI/CD pipeline orchestration

CloudFormation – infrastructure as code

Terraform (optional)

Elastic Beanstalk – PaaS deployment solution

Hands-on labs include creating CI/CD pipelines and deploying applications automatically.

Module 9: Containers & Kubernetes on AWS

Containers are a major part of cloud architecture. Students learn:

Docker basics

Amazon ECS (Elastic Container Service)

Amazon EKS (Elastic Kubernetes Service)

Fargate – serverless containers

Container registries using ECR

Students deploy containerized applications and understand ECS vs EKS use cases.

Module 10: Monitoring & Logging

AWS provides powerful monitoring tools. This module covers:

CloudWatch metrics, logs, dashboards, and alarms

CloudTrail for auditing API calls

AWS Config for compliance

X-Ray for distributed application tracing

Students learn how to monitor EC2, Lambda, RDS, and other resources.

Module 11: Security, Compliance & Encryption

Security is essential. Students learn:

KMS for encryption

Secrets Manager & Parameter Store

Shield & WAF for protection

AWS Artifact for compliance

GuardDuty for threat detection

Learners apply real security best practices.

Module 12: Migration & Hybrid Cloud

This module focuses on tools used for migration:

AWS Migration Hub

Server Migration Service (SMS)

Database Migration Service (DMS)

Application Discovery

VM Import/Export

Students understand hybrid cloud setups using VPN and Direct Connect.

Module 13: Cost Management & Billing

Learners explore:

AWS pricing models

Free tier

Budgets & cost explorer

Savings plans

Reserved instances

Trusted Advisor

This ensures effective cost optimization.

Module 14: AWS Certifications Preparation

The course includes preparation for:

AWS Cloud Practitioner

AWS Solutions Architect Associate

AWS Developer Associate

AWS SysOps Administrator

AWS DevOps Engineer Professional

Mock tests, lab exercises, and real exam-style questions are provided.

Capstone Projects

Students build real-world projects such as:

Deploying a 3-tier web application

Serverless event-driven app

Auto-scaling microservices architecture

S3–Lambda–API Gateway project

CI/CD pipeline with CodePipeline

Secure VPC multi-tier architecture

These projects help learners strengthen their portfolios and job readiness.