Best AWS Project Ideas for Beginners
Are you interested in practically mastering AWS? Then you are in the right place.
But there is a huge crowd looking to master this! To stand out among them you need to create a strong portfolio.
You can start creating your unique portfolio by beginning with the below-mentioned AWS projects for beginners.
10 Beginner-Friendly AWS Project Ideas – Overview
Here’s an overview of the 10 best Amazon Web Services (AWS) projects for beginners:
| S.No. | Project Title | Complexity | Estimated Time | Source Code |
|---|---|---|---|---|
| 1 | Static Website Hosting with S3 | Easy | 5 hours | View Code |
| 2 | Serverless REST API with API Gateway and Lambda | Easy | 5 hours | View Code |
| 3 | Simple Notification Service (SNS) for Email Alerts | Easy | 5 hours | View Code |
| 4 | Deploy a Web Application with Elastic Beanstalk | Easy | 5 hours | View Code |
| 5 | Relational Database with RDS | Easy | 6 hours | View Code |
| 6 | Monitor Resources with CloudWatch | Easy | 6 hours | View Code |
| 7 | AWS Identity and Access Management (IAM) Policies | Easy | 6 hours | View Code |
| 8 | Simple Data Processing with AWS Glue | Medium | 6 hours | View Code |
| 9 | Content Delivery Network (CDN) with CloudFront | Easy | 6 hours | View Code |
| 10 | Simple Chatbot with Lex | Easy | 6 hours | View Code |
Top 10 AWS Projects for Beginners
Below are the top 10 simple AWS projects for beginners::
1. Static Website Hosting with S3
This project involves hosting a static website using Amazon S3, which provides scalable object storage.
You’ll learn how to set up an S3 bucket, configure it for static website hosting, and use CloudFront for content delivery.
Duration: 5 hours
Project Complexity: Easy
Learning Outcome: Understanding of S3 bucket setup, static website hosting, and content delivery with CloudFront.
Portfolio Worthiness: Yes
Required Pre-requisites:
- Basic understanding of web development (HTML, CSS)
- Familiarity with AWS management console
- Basic knowledge of domain names and DNS
Resources Required:
- AWS account
- Static website files (HTML, CSS, JavaScript)
- Domain name (optional for custom domain setup)
Real-World Application:
- Hosting personal blogs or portfolios
- Serving static content for web applications
2. Serverless REST API with API Gateway and Lambda
This project involves creating a serverless REST API using AWS API Gateway and AWS Lambda to handle HTTP requests and perform basic CRUD operations.
You’ll learn how to design and deploy scalable, cost-effective APIs without managing servers.
Duration: 5 hours
Project Complexity: Easy
Learning Outcome: Understanding of API Gateway setup, Lambda functions, and integrating these services to create serverless applications.
Portfolio Worthiness: Yes
Required Pre-requisites:
- Basic understanding of REST APIs
- Familiarity with Python or Node.js
- Basic knowledge of AWS management console
Resources Required:
- AWS account
- IDE for writing Lambda functions (e.g., Visual Studio Code)
- Postman or similar tool for testing APIs
Real-World Application:
- Backend for web or mobile applications
- Microservices architecture for scalable systems
3. Simple Notification Service (SNS) for Email Alerts
This project involves setting up Amazon Simple Notification Service (SNS) to send email alerts based on specific triggers or conditions, such as changes in an S3 bucket or CloudWatch alarms.
You’ll learn how to create and configure SNS topics and subscriptions.
Duration: 5 hours
Project Complexity: Easy
Learning Outcome: Understanding of SNS topics, subscriptions, and integrating SNS with other AWS services for notifications.
Portfolio Worthiness: Yes
Required Pre-requisites:
- Basic understanding of AWS services
- Familiarity with AWS management console
- Basic knowledge of cloud monitoring and notifications
Resources Required:
- AWS account
- Email address for receiving notifications
- AWS services to trigger notifications (e.g., S3, CloudWatch)
Real-World Application:
- Automated email alerts for system monitoring
- Notifications for changes in cloud resources and applications
4. Deploy a Web Application with Elastic Beanstalk
This project involves deploying a simple web application using AWS Elastic Beanstalk, which automates the setup, scaling, and management of your application environment.
You’ll learn how to deploy, manage, and monitor a web application using Elastic Beanstalk.
Duration: 5 hours
Project Complexity: Easy
Learning Outcome: Understanding of deployment automation, environment management, and scaling web applications with Elastic Beanstalk.
Portfolio Worthiness: Yes
Required Pre-requisites:
- Basic understanding of web development
- Familiarity with AWS management console
- Basic knowledge of a programming language (e.g., Python, Node.js, Java)
Resources Required:
- AWS account
- Simple web application code
- GitHub or other source control repository
Real-World Application:
- Rapid deployment and management of web applications
- Scalable and automated application hosting
5. Relational Database with RDS
This project involves setting up an Amazon RDS instance to create and manage a relational database.
You will learn how to configure an RDS database, connect it to a simple application, and perform basic database operations.
Duration: 6 hours
Project Complexity: Easy
Learning Outcome: Understanding of RDS setup, database management, and connecting applications to a cloud-based relational database.
Portfolio Worthiness: Yes
Required Pre-requisites:
- Basic understanding of relational databases (SQL)
- Familiarity with AWS management console
- Basic knowledge of a programming language (e.g., Python, Java)
Resources Required:
- AWS account
- Database client software (e.g., MySQL Workbench)
- Sample application code to connect to the database
Real-World Application:
- Cloud-based database management for web applications
- Scalable database solutions for enterprise applications
6. Monitor Resources with CloudWatch
This project involves configuring AWS CloudWatch to monitor your AWS resources, set up custom metrics, and create alarms to notify you of potential issues.
You will learn how to track performance, analyze logs, and automate responses to changes in your AWS environment.
Duration: 6 hours
Project Complexity: Easy
Learning Outcome: Understanding of CloudWatch metrics, creating alarms, and using logs for monitoring and troubleshooting.
Portfolio Worthiness: Yes
Required Pre-requisites:
- Basic understanding of AWS services
- Familiarity with AWS management console
- Basic knowledge of cloud infrastructure monitoring
Resources Required:
- AWS account
- AWS resources to monitor (e.g., EC2 instances, RDS databases)
- Notification service (e.g., SNS) for alarm notifications
Real-World Application:
- Monitoring application performance and health
- Automating responses to resource usage and operational events
7. AWS Identity and Access Management (IAM) Policies
This project involves creating and managing IAM users, groups, and roles, and setting up policies to control access to various AWS services.
You will learn how to secure your AWS environment by implementing fine-grained access controls.
Duration: 6 hours
Project Complexity: Easy
Learning Outcome: Understanding of IAM user, group, and role management, and creating policies to enforce security and access controls.
Portfolio Worthiness: Yes
Required Pre-requisites:
- Basic understanding of AWS services
- Familiarity with AWS management console
- Basic knowledge of security best practices
Resources Required:
- AWS account
- List of AWS services to secure
- IAM policy creation tools (AWS Policy Generator)
Real-World Application:
- Implementing secure access controls for AWS resources
- Managing user permissions and roles in large organizations
8. Simple Data Processing with AWS Glue
This project involves using AWS Glue to perform simple ETL (Extract, Transform, Load) tasks, such as transforming data from one format to another and storing it in an S3 bucket.
You will learn how to create and manage Glue jobs, crawlers, and data catalogs.
Duration: 6 hours
Project Complexity: Medium
Learning Outcome: Understanding of ETL processes, Glue job creation, and managing data catalogs and crawlers.
Portfolio Worthiness: Yes
Required Pre-requisites:
- Basic understanding of data processing concepts
- Familiarity with AWS management console
- Basic knowledge of Python or Scala (for writing Glue scripts)
Resources Required:
- AWS account
- Sample data for ETL tasks
- S3 bucket for data storage
Real-World Application:
- Automating data transformation and loading processes
- Integrating data from various sources for analysis and reporting
9. Content Delivery Network (CDN) with CloudFront
This project involves setting up Amazon CloudFront to distribute content globally with low latency and high transfer speeds.
You will learn how to configure CloudFront distributions, manage origins and caches, and optimize content delivery.
Duration: 6 hours
Project Complexity: Easy
Learning Outcome: Understanding of CDN setup, cache management, and optimizing content delivery with CloudFront.
Portfolio Worthiness: Yes
Required Pre-requisites:
- Basic understanding of web content delivery
- Familiarity with the AWS management console
- Basic knowledge of DNS and domain management
Resources Required:
- AWS account
- Static website or content to distribute
- Domain name (optional for custom domain setup)
Real-World Application:
- Accelerating the delivery of websites and web applications
- Distributing large files and media content efficiently across the globe
10. Simple Chatbot with Lex
This project involves building a simple chatbot using Amazon Lex, integrating it with a messaging platform like Facebook Messenger, and adding basic conversational capabilities.
You will learn how to create intents, define slots, and build conversational flows.
Duration: 6 hours
Project Complexity: Easy
Learning Outcome: Understanding chatbot creation, natural language processing (NLP) with Lex, and integrating chatbots with messaging platforms.
Portfolio Worthiness: Yes
Required Pre-requisites:
- Basic understanding of chatbots and NLP
- Familiarity with AWS management console
- Basic knowledge of a programming language (e.g., Python, JavaScript)
Resources Required:
- AWS account
- Amazon Lex service
- Messaging platform account (e.g., Facebook Messenger)
Real-World Application:
- Customer support automation
- Interactive chat interfaces for websites and applications
Frequently Asked Questions
1. What are some easy AWS project ideas for beginners?
Some easy AWS project ideas for beginners are:
- Static website hosting with S3
- A Simple Notification Service
- A Simple Chatbot with Lex
2. Why are AWS projects important for beginners?
AWS projects are important for beginners as they provide hands-on experience with cloud computing, enabling them to understand and utilize various cloud services.
3. What skills can beginners learn from AWS projects?
From AWS projects, beginners can learn cloud service configuration, deployment, management, and security best practices.
4. Which AWS project is recommended for someone with no prior programming experience?
A simple Static website hosting with S3 AWS project is recommended for someone with no prior programming experience.
5. How long does it typically take to complete a beginner-level AWS project?
It typically takes 10 hours to complete a beginner-level AWS project.
Final Words
AWS mini projects for beginners can help you build a strong portfolio to ace cloud computing interviews.
Based on your experience and understanding of these AWS projects for beginners, you can develop them to suit your requirements.
Explore More Cloud Computing Resources
Explore More Project Ideas
- Python
- Java
- C Programming
- HTML and CSS
- React
- JavaScript
- PHP
- C++
- DBMS
- SQL
- Excel
- Angular
- Node JS
- DSA
- Django
- Power BI
- R Programming
- Operating System
- MongoDB
- React Native
- Golang
- Matlab
- Tableau
- .Net
- Bootstrap
- C#
- Next JS
- Kotlin
- jQuery
- React Redux
- Rust
- Shell Scripting
- Vue JS
- TypeScript
- Swift
- Perl
- Scala
- Figma
- RPA
- UI/UX
- Automation Testing
- Blockchain
- Cloud Computing
- DevOps
- Selenium
- Internet of Things
- Web Development
- Data Science
- Android
- Data Analytics
- Front-End
- Back End
- MERN Stack
- Big Data
- Data Engineering
- Full Stack
- MEAN Stack
- Artificial Intelligence
- Machine Learning
- Arduino
- Cyber Security
- Raspberry Pi
- Spring Boot
- NLP
- Embedded Systems
- Computer Network
- Game Development
- Flask
- Data Visualization
- Ethical Hacking
- Computer Vision
Thirumoorthy serves as a teacher and coach. He obtained a 99 percentile on the CAT. He cleared numerous IT jobs and public sector job interviews, but he still decided to pursue a career in education. He desires to elevate the underprivileged sections of society through education
Thirumoorthy serves as a teacher and coach. He obtained a 99 percentile on the CAT. He cleared numerous IT jobs and public sector job interviews, but he still decided to pursue a career in education. He desires to elevate the underprivileged sections of society through education
Related Posts
Best Apps to Learn Web Development
Ever thought about building your own website or launching a career in tech but don’t know where to start? With the …
