Amazon Web Service (AWS) is the world’s leading cloud computing platform by Amazon. It offers on-demand computing services, such as virtual servers and storage, that can be used to build and run applications and websites. AWS is known for its security, reliability, and flexibility, which makes it a popular choice for organizations that need to store and process sensitive data.
Why learn AWS:
- Widely used by top companies and startups globally
- Powers major services like Netflix, LinkedIn, NASA
- Offers hands-on cloud experience with real infrastructure
- Scalable, secure, and cost-effective platform to build apps.
This AWS tutorial is designed for beginners and professionals to learn AWS's basic and advanced concepts. It covers everything from basic cloud computing principles to advanced AWS services, security, automation, and real-world use cases.
Prerequisites Before Learning AWS
Before getting into AWS Tutorial, it's recommended to have good understanding of operating systems, computer networking, basic coding commands in Linux terminal, and some prior knowledge of cloud computing:
Getting Started with AWS
In 2006, Amazon Web Services (AWS) introduced IT services in the market through web services, which is now known as cloud computing. AWS removed the need for businesses to plan and manage servers or other IT infrastructure which saves time and resources. To Learn more about AWS history, fundamentals and how it works, you can refer to Introduction to AWS.
Before going ahead with AWS tutorial, you first need to create an AWS account. Here are the two main ways to create an AWS account:
Accessing AWS
Once your account is ready, you need to interact with AWS services to build and manage your applications. Below are primary ways to do this:
Securing Your Account with IAM
Firstly you need to secure your AWS Account using IAM services. IAM is a service that helps you securely control access to AWS resources. It allows you to manage users, roles, permissions to define who can access what within your AWS environment.
In this section, you will learn how to use IAM to manage access securely, create roles, assign policies, and protect your AWS resources from unauthorized use.
Computing in AWS
After securing your AWS environment with IAM, the next step is to understand how to run your applications on the cloud. Computing in AWS means running your programs, websites, or scripts on AWS’s cloud servers instead of your local machines.
This section introduces AWS computing services and guides you on how to use them to deploy and manage your applications efficiently.
Section 1: AWS EC2 - Virtual Servers
The first service in AWS computing is EC2. It provides virtual servers where you can run your applications. EC2 lets you select the server size, CPU, memory, and storage according to your needs.
Learn what EC2 is, how to create and manage instances, understand pricing models, and how to securely connect to your servers using the below references.
Section 2: AWS Elastic Bean Stalk - Simplified App Deployment
Managing servers can be complex, so AWS offers Elastic Beanstalk, a service that makes deploying and managing applications easier by handling infrastructure tasks automatically. You will learn how to deploy apps with Elastic Beanstalk, manage storage, replace unhealthy servers, and secure your deployments..
Section 3- AWS AMI
To speed up server creation, AWS uses Amazon Machine Images (AMI), which are templates containing server setup, including OS and software. Learning about AMIs helps you quickly launch consistent server.
Section 4 - AWS Load Balancer
When your application gets a lot of traffic, a single server can become overloaded, which can lead to slow responses or downtime. AWS Load Balancers help solve this by distributing incoming user traffic evenly across multiple servers. This improves your app’s availability and performance even under heavy loads. In this section, you will learn what a load balancer is and how to set one up in AWS.
Section 5 - AWS Lambda
Managing servers can be complex and time-consuming. AWS Lambda removes this issue by letting you run your code automatically without provisioning or managing servers. Lambda functions execute in response to events like file uploads or button clicks, enabling scalable and cost-efficient app logic. Here, you’ll learn to create Lambda functions and connect them to other AWS services such as DynamoDB.
Section 6 - AWS CloudWatch
Keeping an eye on your AWS resources is important to run your applications smoothly. AWS CloudWatch monitors performance metrics, resource health, and triggers alerts when something goes wrong. You’ll also explore synthetic monitoring for testing, understand how CloudWatch differs from CloudTrail, and get a brief introduction to automation using bash scripting.
Section 7 - AWS AutoScaling
User demand often changes, and having too many or too few servers can either waste money or degrade performance. AWS Auto Scaling automatically adjusts the number of running servers based on traffic, ensuring your application runs efficiently and cost-effectively. This section explains how Auto Scaling works and guides you through creating Auto Scaling groups in EC2.
Section 8 - Other Elastic Computes (ECS, EKS, ECR)
Modern applications increasingly use containers—lightweight, portable packages for running software. AWS provides specialized services for container management: ECS for orchestrating containers, EKS for Kubernetes management, and ECR for storing container images. Understanding these services helps you effectively build, deploy, and scale containerized applications. You’ll also learn the difference between EBS (block storage) and EFS (shared file storage).
AWS Storage Services
After understanding how to run applications with AWS computing services like EC2, the next important step is learning how to store and manage your data securely and efficiently in the cloud. AWS provides a variety of storage options tailored to different needs—from simple file storage to long-term archival and high-speed data transfer.
Section 1: Amazon S3 – Simple Storage Service
Amazon S3 is one of the most popular storage services, ideal for storing files known as “objects” inside containers called buckets. S3 offers different storage classes and lifecycle management to automatically move or delete files based on rules you define, optimizing cost and performance.
Section 2: EBS & EFS – Storage for EC2
EC2 virtual servers require persistent storage. AWS offers Elastic Block Store (EBS), which acts like a hard drive attached to a server, and Elastic File System (EFS), a shared storage accessible by multiple servers simultaneously. Understanding when to use EBS or EFS is key for designing efficient storage.
Section 3: AWS Glacier & Backup – For Long-Term Storage
Not all data needs to be accessed frequently. AWS Glacier offers cost-effective, long-term archival storage. For this AWS Backup lets you automate backups and ensures data protection through disaster recovery strategies.
With your data safely stored, you will need ways to distribute, transfer, and backup your data efficiently. This leads us to backup and migration services.
Section 4: Data Delivery, Migration and Hybrid
Transferring large volumes of data securely and quickly is a challenge that is faced by many businesses. To resolve this issue AWS provides services to help with fast content delivery, bulk data migration, and seamless hybrid cloud integration.
AWS Application Services
Once your data and applications are ready, communication and workflow management become important. AWS offers services to help apps send messages, coordinate tasks, convert media, manage APIs, and process real-time data streams.
Amazon S3 – Simple Storage Service
Amazon S3 is one of the most popular storage services, ideal for storing files known as “objects” inside containers called buckets. S3 offers different storage classes and lifecycle management to automatically move or delete files based on rules you define, optimizing cost and performance.
AWS Database Services
To handle all this data, you need powerful database services to store and analyze data effectively. AWS supports relational databases like Aurora and RDS for structured data, and non-relational options like DynamoDB for flexible, scalable NoSQL needs.
AWS VPC - Virtual Private Cloud
Finally, to connect all your cloud resources securely, you need to understand AWS networking and Virtual Private Cloud (VPC) which allows you to create a private, isolated network in the cloud where you control IP ranges, subnets, and access rules. Mastering VPC concepts helps you build secure and scalable cloud infrastructure.
AWS Billing and Management
Cloud cost management is essential to avoid unexpected bills and optimize spending. AWS provides tools to monitor usage, set budgets, and analyze spending patterns, that helps you to make cost-efficient decisions.
Machine Learning and IoT
Finally, AWS supports advanced technologies like machine learning and IoT, enabling developers to build intelligent applications and connect devices securely and at scale.
AWS Interview Questions
A collection of 50+ essential AWS interview questions and answers to help you prepare effectively for 2025 job opportunities.
50+ AWS Interview Questions and Answers (2025)
Advantages of AWS
Here are some advantages of Amazon Web Services:
- Cost Efficient: AWS gives you a variety of cost-effective pricing options so you can choose an appropriate instances and resources according to your workload and safe cost.
- Flexibility: AWS offers Effortless hosting of Applications and it provides instant availability of new features and technology.
- Scalability: AWS offer Features like AutoScaling and Elastic Load Balancing and their scale Increase and Decrease according to demand or traffic on the application.
- Security: AWS provides end-to-end encryption technology and privacy to its customers.
AWS Certifications
AWS certification is important because it proves you know how to use Amazon's cloud services. It helps you get better job opportunities, a higher salary, and stand out from other candidates. Many companies prefer certified professionals since AWS is widely used in tech. It also boosts your skills and career growth.
Try our: AWS Certified Cloud Practitioner Exam [Certification Course]
This AWS Cloud Practitioner Certification Course is designed to help beginners understand the basics of cloud computing and get familiar with Amazon Web Services (AWS).
This AWS Certified Cloud Practitioner Exam - Certification Course is perfect if you're looking to start a career in cloud computing or just want to learn about AWS to enhance your current job skills. Here you will learn a clear introduction to what AWS is and how its main services like computing, storage, and databases work.
List of Companies Using AWS
These are some popular companies that use AWS in their operations:
Company | Description |
|---|
Netflix | Uses AWS to stream videos reliably to millions of users worldwide with scalable cloud services. |
Airbnb | Relies on AWS to manage its booking platform, data processing, and backend infrastructure. |
NASA | Uses AWS for data analysis, high-performance computing, and managing space exploration projects. |
Samsung | Utilizes AWS to support its mobile services, IoT platforms, and global data needs. |
McDonald’s | Employs AWS to run its global digital ordering systems and customer apps |
Facebook | Uses AWS for backup, data storage, and running parts of its infrastructure efficiently. |
Adobe | Uses AWS to deliver creative cloud services and data analytics. |
Slack | Runs its messaging platform on AWS to ensure scalability and performance. |
Pinterest | Uses AWS to handle massive image storage and delivery for millions of users. |
LinkedIn | Uses AWS for various backend services and data analytics to improve user experience. |
Career & Jobs in AWS 2025
AWS skills are in high demand, and there are many career opportunities available in cloud computing. Here are some popular AWS job roles along with their average salaries:
| Job Role | Description | Average Salary (USD) |
|---|
| AWS Cloud Architect | Designs cloud solutions and manages AWS services | $120,000 - $150,000 |
| DevOps Engineer | Automates infrastructure and deployment | $110,000 - $140,000 |
| Cloud Developer | Builds applications using AWS services | $100,000 - $130,000 |
| SysOps Administrator | Manages and monitors AWS infrastructure | $90,000 - $120,000 |
| Security Specialist | Focuses on cloud security and compliance | $100,000 - $140,000 |
| Data Engineer | Works with AWS data services for analytics | $110,000 - $145,000 |
Conclusion
Amazon Web Services is a powerful cloud computing platform that offers a wide range of on-demand computing services such as virtual servers and storage. This tutorial has provided a brief introduction to cloud computing and given an overview of the various AWS products and services that are available. By the end of this tutorial, readers will have a solid understanding of AWS.
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