Top 10 Ultimate AWS Projects & Ideas [2025]
Table of Contents
- jaro Education
- 4, September 2024
- 3:00 pm
Through AWS, any scalable, secure, and efficient applications can be seamlessly developed in the cloud and accessed from anywhere in the world! It is this aura that makes AWS one of the most demanded cloud platforms worldwide today. Whether you are a novice looking for hands-on experience or an experienced developer wishing to enhance your skills, AWS project ideas will surely lead you toward mastering cloud computing.
What are you waiting for?Â
Here are quite a few exciting and engaging AWS projects that can help you leverage the cloud for its true potential. Ranging from being a beginner in building a serverless app to intelligent cloud solutions, these projects on AWS will not only challenge you but also polish your cloud computing skills in real-time scenarios.
Now, let us resolve this great idea of the AWS project ideas, which can help to launch your portfolio and career!
*Wikipedia
AWS projects, also known as Amazon Web Services projects, are practical solutions built using the cloud services AWS offers. There is a wide range of tasks you can perform with AWS projects, from simple to complex, involving machine learning, data processing, and serverless computing. AWS projects cover a wide array of areas.
The article takes you through different AWS project ideas ranging from basic to advanced. At the end of this chapter, we will also look at some DevOps projects that handle microservices, monitoring, and infrastructure as code.
AWS Services List: AWS Project Areas
*ProjectPro
The cloud service provider Amazon Web Services (AWS) owns 31% of the worldwide market share and is the present leader in this area. This position implies that an AWS certification is necessary for many tech roles, including a data engineer or cloud architect. However, theoretical knowledge alone is insufficient; hands-on projects must be undertaken to understand and exploit AWS capabilities fully.
- Web Hosting and Development: Amazon provides an AWS services list that includes EC2, S3, and Route 53 to deploy websites and web applications.
- Machine learning: AWS project ideas, like Amazon SageMaker, help implement ML models in an organisation’s operations.Â
- DevOps: Automating infrastructure deployment and management with services like AWS CloudFormation, CodeDeploy, and CodePipeline.
- Data Storage and Management: Data needs to be stored properly to ensure efficient operations. Using AWS databases, like RDS and DynamoDB, as well as storage solutions, like S3 and Glacier, helps improve data warehousing and management.
- Security and Compliance: One of the best aspects of the AWS services list is the AWS Identity and Access Management (IAM) along with CloudTrail and Shield. They are used to implement security measures and protect the stored data on the cloud.
- Networking: Setting up secure and scalable networks using AWS VPC, Elastic Load Balancing, and CloudFront.
Why AWS Projects for Beginners Are Beneficial
- Learning Opportunities: AWS projects for beginners provide practical experience and a chance to put theory into practice with real-world scenarios.
- Portfolio Building: A complete AWS project makes for an excellent addition to a beginner’s portfolio. It showcases your contribution to the project and the skills and expertise needed to accomplish it.Â
- Industry-Relevant Skills:Â Working on AWS project ideas helps learners acquire skills that are in high demand in the tech industry, such as cloud computing, DevOps, and machine learning.
- Easily Accessible Learning: There are AWS projects that are low-cost and easily accessible, making it easy for beginners to learn and experiment without any major financial investment.
In summary, AWS projects for beginners are a fantastic way to advance in your career and also open up the space for cross-career opportunities in machine learning, data science, DevOps, and cloud engineering.
AWS Projects for Beginners: AWS Projects and Ideas [2025]
Here is a compilation of eight AWS projects for beginners with a focus on different areas of expertise:
1. Website Hosting
Using Amazon S3, it is extremely lucrative and accessible to deploy a static website.
Solution: Start by creating a static website mockup, for example, a personal portfolio for your photography. You can easily host it on Amazon S3:
*Hostinger
Step 1: Set up an S3 bucket to hold all the different pages of your portfolio website.
Step 2: Configure the S3 bucket and grant public access.
Step 3: Enable website hosting.
Moreover, you can also use different aspects of the AWS services list, like the Amazon Route 53, to manage the Domain Name System and create a custom website link for your portfolio. This project introduces you to AWS S3, static website hosting, and DNS management.
2. DevOps
*Dynatrace
Working on the CI/CD pipeline, also known as Continuous Integration/Continuous Deployment, is one of the best ways to understand the nuances of the DevOps section in the AWS services list. An AWD project idea for beginners is to automate code deployment using the AWS CodePipeline.
Step 1: Set up the CI/CD pipeline. This automates the building, testing, and deployment process for a web application.
Step 2: Put it on AWS CodeCommit for version control operations.Â
Step 3: Work on CodeBuild for compiling and testing your code.
Step 4: Use CodeDeploy to put it on Amazon EC2 or AWS Lambda.
This project helps you understand the basics of version control, continuous integration, and automated deployments.
3. Machine Learning
*Ntiva
An effortless AWS project for beginners is to build and deploy an ML model using Amazon SageMaker. For example, you could train a simple ML model like the binary classifier using any dataset.
Step 1: The Amazon SageMaker is used to train the model by preprocessing the data. Put it into an endpoint for real-time predictions. It is the easiest way to train an ML model.
This is the perfect entry point to using ML within the AWS ecosystem because it provides profound insights into data preparation and model deployment.
4. Data Warehousing
*Blog De Bismart
An intriguing AWS project for beginners is to set up a warehouse for the management and analysis of large datasets with Amazon Redshift
Step 1: Open Amazon Redshift and create a data warehouse inside it with data from various sources within the AWS ecosystem.Â
Step 2: Use SQL to run queries and gather insights to analyse the large datasets.
This project provides insights into analysing large datasets with the space to scale. It covers data storage and query optimisation.
5. Web Applications
*Techjockey
You can use the AWS Lambda, API Gateway, and DynamoDB in the AWS services list to develop a serverless web application.
Step 1: Build a simple web application using the AWS services list.Â
Step 2: Use the Amazon S3 services to host the frontend of the web application while the back end is handled by Lambda and API Gateway.
This project provides opportunities for a breakthrough in the serverless applications space, where you can deploy and scale applications without managing any servers.
6. Secure Access Management
With this AWS project for beginners, you can implement role-based access control for a web application.
Step 1: AWS IAM (Identity and Access Management) is used to create roles with specific permissions to access the AWS system.Â
Step 2:Â Set up policies for different user groups (e.g., admins, developers) and assign appropriate permissions.
This AWS project for beginners helps with understanding the best security practices, like managing user access and setting up multi-factor authentication.
7. Scalable Network Architecture
With this AWS project for beginners, you can implement role-based access control for a web application.
Step 1: AWS IAM (Identity and Access Management) is used to create roles with specific permissions to access the AWS system.Â
Step 2: Â Set up policies for different user groups (e.g., admins, developers) and assign appropriate permissions.
This AWS project for beginners helps with understanding the best security practices like managing user access and setting up multi-factor authentication.
8. Cloud Resource Management
One great way to learn about cloud infrastructure is through the AWS CloudFormation. For example, you could automate the deployment of the cloud infrastructure with it.
Step 1: Use AWS CloudFormation to define a whole stack of AWS resources like EC2, RDS databases, and S3 buckets all through a single template
This project allows you to learn Infrastructure as Code (IaC) principles, automate resource provisioning, and manage infrastructure in a consistent, repeatable manner.
9. Launching SQL Server Database on Amazon RDS
The Amazon RDS for SQL Server event walks attendees through a step-by-step process of using Amazon RDS. You’ll create a DB instance and learn essential concepts about automotive backups, security, scaling, optimising, and monitoring of your DB instance.
10. Serverless Image Processing
This is a quick intro to a project that employs a serverless architecture to create an image processing workflow using AWS Step Functions, AWS Lambda, Amazon DynamoDB, and Amazon SNS.
With AWS Step Functions to orchestrate the many services involved, you will be able to orchestrate and automate complex workflows—a must-have skill for modern cloud-based solutions.
The AWS services used in this project:
- Amazon Rekognition detects if there is a face within an uploaded image.Â
- AWS CloudFormation quickly templates the basic resources for addressing the project needs.Â
- AWS Step Functions orchestrate the workflow.Â
- AWS Lambda invokes Rekognition.Â
- Amazon DynamoDB stores image metadata.Â
- Amazon Simple Notification Service (SNS).Â
- Amazon EventBridge triggers the state machine to run upon uploading a new image.
Final Thoughts
There are many ways to undertake AWS projects for beginners. It is a vastly accessible ecosystem where learning is encouraged through trial and error. There are also several certifications, workshops, and webinars where you can meet like-minded beginners and skyrocket your career prospects in the AWS space.
Frequently Asked Questions
Here are some beginner-friendly projects one should try in AWS:
- Deploy static websites using Amazon S3.
- Build serverless applications with AWS Lambda and API Gateway.
- Configure a simple EC2 instance to host a basic website.
- Create an S3 bucket for file storage and data management.
- Build a cloud-based database with Amazon RDS/DynamoDB.
- Set CloudWatch monitoring for performance and health monitoring.
Some AWS services require basic knowledge of programming languages like Python, JavaScript, or Node.js (especially in serverless applications), while many projects on AWS related to AWS can be accomplished with little coding. For example, you could use elementary programming skills to set up static websites on S3 or configure EC2 instances for hosting. On the other hand, gaining knowledge of at least one programming language will help when working with AWS Lambda or integrating different AWS services.
To get started,Â
- Create an AWS Free Tier Account: AWS provides a Free Tier with limited usage for many of their services, quite handy for beginners.Â
- Search for AWS Documentation and Tutorials: AWS has comprehensive documentation, tutorials, and stepwise guides to get one acquainted and started with AWS services.Â
- Go through Hands-On Labs: Online platforms such as AWS Skill Builder, Qwiklabs, or A Cloud Guru have hands-on labs designed in a guided manner for practical learning.Â
- Start Small: Start with easy projects such as deploying a static website in S3 and then gradually progress to building more complex solutions.
The following are the best services to learn AWS for newbies:
- We are using Amazon S3 for storage.
- Amazon EC2 for cloud computing.
- AWS Lambda for serverless functions.
- Amazon RDS for relational databases.
- Amazon CloudWatch for monitoring.
- Amazon DynamoDB for a NoSQL database.
- AWS Elastic Beanstalk to easily deploy applications.