Top 10 AWS Project Ideas in 2025 for All Levels

AWS is now one of the best cloud platforms in the industry. It allows the developers to remotely provision and manage computer applications and resources. It is very popular nowadays and holds a significant market share. This popularity is due to the affordability and easy-to-use services. Its popularity makes it a reliable field of learning for students. Many young professionals are trying to study AWS because organisations want to develop highly scalable solutions at lower costs. Working on an AWS project can give a much-needed boost to your resume. Let us look at some Top AWS Project Ideas in 2025 for All Levels so that you can add one more achievement to your resume.

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Top AWS Project Ideas for All Levels: Introduction

You might have noticed a sudden rise in opportunities in the cloud computing field. Consequently, you might have heard about Amazon Web Services (AWS) in the news and forums. AWS is the world’s leading cloud platform, offering more than 200 functional services globally.

AWS was launched in July 2002 from the existing Amazon cloud platform. Its objective was to manage online retail transactions. AWS provides the following services.

• Cloud computing
• Databases
• Network topology
• Storage and content delivery
• Application services
• Mobile services
• Enterprise applications
• Administration and security
• Deployment and management
• Analytics

The core infrastructure of AWS is designed to meet the security requirements essential for applications developed using the AWS services provided by the platform. The flexibility and security offered by AWS is one of its strong points.

AWS services are used by large multinational companies and even government agencies. Specialists with AWS knowledge are in demand in the industry. Henceforth, knowing AWS can make your resume vastly more attractive regardless of your specialisation in software and engineering.

Because it is such a diverse and popular platform, having expertise in it will enhance your portfolio. A proper project report in a portfolio is proof that a person has experience with a skillset. Besides that, working on a project reveals your weak spots and hence aids you in seeking counsel from experts or mentors.

Overall, we can say that working on an AWS project is the best way to prove your skillset to future employers. But what is your level of knowledge? Do you know what kind of project is appropriate for your level? If not, then this blog will help you find them. Let us look at Top AWS Project Ideas in 2025 for All Levels.

Top 10 AWS Project Ideas in 2025 for All Levels

A project is the most effective technique to demonstrate our talents on a specific topic. However, joining a project that is not appropriate for your skill level is a waste of time. A beginner-level project doesn’t offer an advanced developer any challenge. So, it doesn’t promote any learning or improvement. A beginner, on the other hand, will become frustrated and lose confidence if they try to work on an advanced project. So, always choose a project of the appropriate level that challenges you without demotivating you.

We have provided the top AWS project ideas in 2025 for all levels. Look at the table below before proceeding.

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Let us start our practical learning by reading about the best AWS projects for beginners.

Top Beginner-Level AWS Project Ideas

Beginner-level projects are the best place to start if you have learned the basics and want to test your skills. Read on to learn about beginner-level projects under the top AWS project ideas in 2025 for all levels.

Create a Website on AWS

Creating a website is an excellent way to get started on AWS projects. Because this project is very simple, a newbie can freely explore and experiment with the services provided by AWS. Amazon Lightsail service can be used to create a website on the platform. Its uses and characteristics are listed below.

• It is an AWS-managed virtual private server that aids in the creation of websites.
• This service provides resources needed for website creation without charging for it.
• It offers leading CMSs for hosting popular websites like Joomla, WordPress, and Magento.
• CMSs are pre-configured web development tools used to manage content on websites.
• In this way, you can deploy your blog or website using the CMS of your choice.

Besides Amazon Lightsail, you can also use Amazon S3 and EC2 instances to host your website. Website creation could be done as a mini project for your AWS elective course. This project helps you learn that website creation using AWS services and choosing a CMS to deploy it is possible without writing code from scratch.

Using AWS Lambda for Mass Emailing

In this project, you will utilize AWS Lambda to create an email application capable of sending bulk emails to numerous recipients. Some suggestions for this project are below.

• You can use AWS Lambda with other email or SMS services for an economically efficient mass emailing solution.
• AWS SES (Simple Email Service) is used for sending emails.
• AWS SNS (Simple Notification Service) is used to trigger email sending.
• In this project, Amazon Lambda and S3 services are linked closely.
• Uploading a CSV file to S3 will trigger an S3 event.
• The said event causes the lambda function to import the file into the database.
• Once the file is imported, the mass emailing process begins.

Creating mass email software using Lambda is an easy project for AWS students to learn.

Building Custom Alexa Skills 

This project aims to build a virtual assistant like Alexa. It has to replicate Alexa’s behaviour. Some details regarding the said project are here.

• AWS Lambda and the Alexa Skills Kit are used to develop a virtual assistant.
• The actions a virtual assistant takes on the request of a user are called Alexa Skills.
• Essentially, an Alexa skill kit is just a voice-activated Alexa app.
• The Alexa handler function, which is a function of AWS Lambda, is used in this project.
• AWS Lambda allows you to implement customized logic for running handler functions.

Another feature is that this project is very flexible. Hence, we can incorporate third-party functions. Third-party functions are hosted outside Alexa. So, you can explore various possibilities like:

• playing music
• Setting reminders
• booking a hotel room
• ordering food
• Executing other specific functions

Our aim is to develop a voice-enabled application that can do all the tasks above. Learn deeply about the Alexa Skill Kit before starting this project.

Making a Text-to-speech Converter 

The aim of this project is to build a text-to-speech converter using AWS Lambda and AWS Polly. AWS Polly is a text-to-speech converter service. Text-to-speech converter is something w=that widely used in websites and applications nowadays. Some important facts about this project are discussed here.

• A text-to-speech converter can convert written text into audio.
• Some may even be able to do the same for multiple languages and voices.
• AWS Lambda and AWS Polly can help us create real-life speech synthesis applications.

This project can teach you to use AI-powered AWS services to create text-to-speech converter applications.

Content Recommendation System 

Amazon SageMaker is a machine learning service provided by AWS. This service can be used to build a content recommendation system. Important info about these systems and projects is given below.

• Streaming platforms like Netflix and Amazon Prime Video make use of content recommendation systems.
• This helps us to find things that are according to our taste while browsing social media or streaming platforms.
• Here, AI and ML are used to recommend content to end users by analysing their past online history and behaviour.

Amazon SageMaker can be used to recommend services, products, or content. These are chosen according to the following things.

• browsing history
• preferences of users’
• purchase behaviour

It also has in-built ML algorithms that leverage semantic search to streamline tasks and do not require label data. AWS when used with nearest-neighbour algorithms can help attain good results i.e. relevant recommendations. It is advised to use the K Nearest Neighbour algorithm with a content recommendation system while doing this project. This combination is most likely to give realistic and accurate results.

Top Intermediate-Level AWS Project Ideas

We have looked at the top 10 AWS projects for beginners. Now let us look at the best AWS practice projects for intermediate-level learners.

Launch a Serverless Web App

The aim of this project is to create a serverless web application. Various Amazon services given below are used for this project.

• Amazon Cognito
• DynamoDB
• Amplify
• API Gateway
• Lambda

The services listed above help you in creating good web applications that can manage all types of workloads. However, launching a serverless web app requires knowledge of the basics of several programming languages. If you are implementing RESTful APIs for the project then knowledge on them also is required. You can start with a simple web app, like a BMI calculator.

Create Chatbots Using LEX

The chatbots are applications that can make conversations with end-users just like a human agent. Natural language processing services like Amazon Lex can help you develop chatbots. These chatbots can perform many functions such as:

• answering customer queries
• booking appointments
• providing product information

Amazon Lex can help you deploy chatbot with one click. It helps you design them in such a way that they respond to all types of customer queries, like both voice-based and text-based. If you want to build a chatbot, then you have to implement AI models that make chatbot responses conversational and automated. And if you want additional functionalities, then you can use other Amazon services along with lambda. But please remember to test them to make sure that they work how they are supposed to. You can take up the role of an end user and ask questions to the chatbot to do this.

Create an Application for Real-time Data Processing

A real-time data processing application can be built using services like Amazon Kinesis and Amazon Lambda. The objective of such a project is to achieve the processing of large amounts of data in real-time. Some points about this project are discussed below.

• Amazon Kinesis is excellent at capturing as well as streaming data in real time.
• This service can be used to develop apps that can analyse and process data when it comes.
• Streaming data from any IOT sensors or social media platforms can be used for such applications.

There are several steps to achieving this. Let us look at them.

• For this, first, you have to create an Amazon Kinesis stream.
• Then you have to configure that in such a way as to collect data from a web source of your choice.
• You can configure the Lambda function scenarios to scale up/down automatically based on the stream.
• Social media timelines and location-based data are often used as data sources.

Top Advanced-Level AWS Project Ideas

AWS project ideas for advanced learners or professionals are different. Let us look at the top 10 AWS projects for advanced learners.

Kubernetes Clusters on Amazon EC2 Spot

This is an AWS DevOps project. In this, you will be building a Kubernetes cluster on Amazon EC2 Spot instances. Some important facts about this project are discussed below.

• This is an economical option for running applications that can manage interruptions.
• Kubernetes is popularly used in the field for managing, orchestrating and scaling containers.
• Besides Kubernetes, you can also use Amazon EKS for deploying and managing your cluster in this project.
• Then you have to use Amazon EC2 Spot instances to make the running of your applications more cost-effective.
• Always make sure to follow best practices for spot instances while working with spot instances.

Orchestrate Redshift ETL with AWS Glue and Step Functions

This project aims to use Amazon Redshift to build an ETL Big Data pipeline. The objective behind this is to extract business information from stored data. Let us look at some info on Amazon Redshift.

• Amazon Redshift is a cloud warehouse service.
• It is fully managed by AWS.
• You can query data (both structured and unstructured) using Redshift directly from Amazon S3.
• This can be done even if the said data is not deployed in the Redshift cluster.

Amazon Redshift also helps you run complex analytics queries against data. It also supports the following things.

• Sophisticated query optimization
• Parallel query execution
• Columnar storage

The dataset from the Amazon E-commerce website can be utilised for machine learning, deep learning and natural language processing of seller and product information. This project can make use of the Amazon Customer Reviews dataset. This dataset contains product reviews from Amazon customers. Amazon Customer Reviews dataset can be downloaded in two formats. They are:

• Parquet
• TAV

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Top AWS Project Ideas for All Levels: Final Thoughts

AWS provides many services and tools to developers and businesses. It helps them in building highly cost-effective and scalable applications. Having some understanding of top AWS Project ideas in 2025 for all levels can help you choose your sample practice project according to your skill level. These projects help you gain hands-on experience. Besides that, they will also help you showcase your knowledge, skills and creativity to potential employers.