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AWS Tutorial

Learn AWS
From Cloud Basics

Learn AWS cloud computing with practical lessons on IAM, EC2, S3, VPC, Route 53, CloudFront, databases, Lambda, monitoring, security, cost control, and deployment patterns.

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About AWS

Amazon Web Services is a large cloud platform for hosting applications, storing data, running automation, building APIs, creating data pipelines, and operating secure infrastructure. This tutorial is organized like a real beginner cloud journey: first understand the platform, then secure the account, then build with compute, storage, networking, databases, serverless, deployment, monitoring, cost, and architecture decisions.

Each lesson includes practical explanation, important design checks, examples, mistakes to avoid, and cleanup guidance. The path is written for learners who want enough detail to understand real cloud work, not only memorize service names.

Prerequisites

Basic web, networking, and command-line knowledge helps. No previous AWS project experience is required.

Audience

Students, backend developers, DevOps learners, cloud beginners, and engineers preparing for real projects.

What You'll Learn

IAM, EC2, S3, VPC, Route 53, CloudFront, databases, Lambda, containers, CloudWatch, security, pricing, CI/CD, and architecture basics.

Tools Needed

An AWS account, browser, terminal, AWS CLI, and a text editor for JSON or YAML examples.

Learning Path

Start with the introduction and account setup, then move through identity, compute, storage, networking, data, serverless, containers, operations, security, cost, deployment, and architecture. That order mirrors how small cloud projects mature into production-ready systems.

Tutorial Topics
Why Learn AWS?
  • Build cloud-ready applications and infrastructure with services used in real production systems.
  • Understand identity, networking, compute, and storage before jumping into advanced architectures.
  • Learn practical cost and security habits that prevent common beginner mistakes.
  • Practice examples that can be verified with CLI commands and cleaned up after each lab.
  • Prepare for cloud projects, DevOps workflows, and certification learning paths.

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