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AWS Cloud Tutorial Series

Learn AWS Cloud Chapter by Chapter

This tutorial is designed as a detailed AWS Cloud learning track with chapter pages, architecture explanations, CLI-oriented examples, beginner foundations, and advanced cloud design topics for real-world systems.

What this tutorial covers

The series covers cloud foundations, IAM, networking, EC2, storage, databases, application integration, serverless, containers, monitoring, Infrastructure as Code, analytics services, governance, cost optimization, migration strategy, and long-term AWS career growth.

Beginner friendlyStarts with cloud basics, global infrastructure, and IAM before moving into deeper architecture.
Architecture focusedExplains how services fit together in real systems instead of describing them in isolation only.
Job relevantCovers networking, compute, storage, security, observability, automation, and cost control.
Advanced depthIncludes multi-account governance, serverless, containers, data services, and operational thinking.
Chapter 1

AWS Cloud Foundations and Global Infrastructure

Start with the big picture: what cloud computing means, why AWS is widely used, and how regions, availability zones, and shared responsibility shape every AWS design.

Chapter 2

IAM, Identity, and AWS Security Basics

Learn the core of AWS access control with users, groups, roles, policies, MFA, and practical least-privilege thinking.

Chapter 3

VPC, Subnets, Routing, and Network Security

Build strong AWS networking fundamentals with VPCs, public and private subnets, internet access, routing, security groups, and NACLs.

Chapter 4

EC2, Load Balancing, and Auto Scaling

Learn AWS compute fundamentals with virtual machines, AMIs, user data, load balancers, and scaling patterns for reliable applications.

Chapter 5

Storage on AWS: S3, EBS, EFS, and Glacier

Understand the major AWS storage models and how to choose among object, block, and file storage based on performance, durability, access pattern, and cost.

Chapter 6

Databases on AWS: RDS, DynamoDB, Aurora, and Redshift

Learn the major AWS data services and how to choose between relational, NoSQL, and analytical database options.

Chapter 7

Application Integration: SQS, SNS, EventBridge, and API Gateway

Understand how AWS systems communicate using messaging, events, decoupling patterns, and managed API entry points.

Chapter 8

Serverless with Lambda, Step Functions, and Event-Driven Design

Go deeper into serverless architecture using managed execution, workflow orchestration, and event-driven system patterns.

Chapter 9

Containers on AWS: ECS, EKS, Fargate, and ECR

Learn modern container deployment patterns on AWS and how orchestration choices affect operations, portability, and team complexity.

Chapter 10

Monitoring, Logging, CloudTrail, Config, and Operations

Develop strong operations skills with observability, auditability, compliance visibility, and routine AWS troubleshooting habits.

Chapter 11

Infrastructure as Code with CloudFormation, CDK, and Automation

Learn why repeatable infrastructure matters and how AWS teams automate provisioning, updates, and environment consistency.

Chapter 12

Analytics and Data Engineering on AWS

Explore AWS data and analytics services such as Athena, Glue, Kinesis, EMR, Lake Formation, and QuickSight from both beginner and advanced viewpoints.

Chapter 13

Advanced Security, Governance, Organizations, and Multi-Account AWS

Go beyond basic IAM into enterprise governance with multi-account design, key management, secrets, policy guardrails, and protective services.

Chapter 14

Cost Optimization, Architecture, Migration, and AWS Career Roadmap

Complete the AWS journey with cost discipline, Well-Architected thinking, migration strategy, disaster recovery patterns, and a roadmap for long-term growth.

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