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