Excellent AWS Project Ideas For Practice In 2023

Launched in 2006, Amazon Web Services (AWS) is the cloud platform offered by Amazon.com. Since its inception, this platform has gained a spotlight for all the right reasons. In the first quarter of 2020, AWS brought in a record $10 billion of revenue, accounting for 13.5% of Amazon’s total revenue. Since then, it has become an important source of revenue for Amazon.

AWS offers more than 200 comprehensive services from data centers across the globe, making it the world’s most widely adopted cloud platform. Several leading unicorns, multinational corporations, and government firms use AWS as it offers a diverse set of global cloud-based products. It enables them to save costs and explore scaling opportunities.

As of February 2020, one independent analyst reports AWS has over a third of the market at 32.4%. Given the increasing importance of AWS, it has become crucial for aspiring developers to be well-acquainted with the cloud platform.

The best way to achieve this is to work on the AWS real-time projects for practice. In this blog, we will explore the best AWS project ideas to help you get started.


AWS Project Ideas For Beginners

1. Creating A Content Recommendation System:

One of the most popular AWS project examples is building recommendation systems through the power of AI and ML. Leading companies like YouTube, Netflix, Amazon, and Flipkart use these systems to personalize user experiences and keep them engaged for a long period.

While working on this project, you will learn to use Amazon SageMaker – an impressive tool for machine learning implementations. It uses semantic search instead of string matching, simplifying the task significantly. In addition, the built-in algorithms eliminate the need to use label data. In this project, you will also learn to use the K-Nearest Neighbors algorithm.

2. Building A Website From Scratch:

One of the most rewarding and fun AWS project ideas is creating an intuitive website that looks great as well. As complex as the task sounds, it can be quite simple if you are familiar with the AWS cloud platform. To simplify things further, you can use Amazon Lightsail.

It is an excellent virtual private server (VPS) provider that gives developers easy access to AWS to create and host applications in the cloud. It is easy to learn and comes pre-configured with many popular web development solutions such as Joomla and WordPress – one of today’s most sought-after CMS’.

3. Using Rekognition To Identify People:

For the ones who are inclined toward trying their hand at a computer vision project, this is the ideal one to start with! In this project, you will create a face recognition model that will be capable of identifying specific people in an image.

You will learn to use Amazon Rekognition and OpenCV. Rekognition acts as an API for image analysis. OpenCV is used for real-time image classification. This feature enables developers to add and analyze images at a speedy pace to perform face recognition.

4. Deploying A Windows Virtual Machine:

If you are a beginner who wants to tap into the true potential of AWS, you can start by deploying a windows virtual machine. Virtual machines are essentially clones of computer systems. The best part is that they do not rely on the other virtual machines present within the same network. They are isolated environments within the system that are used to enhance the efficiency of an operation.

With source code available on online repositories, you can deploy a Windows virtual machine. To deploy a Windows VM in AWS, you can use Amazon Lightsail. Once the VM is created, you can use Lightsail to connect with an RDP client.

5. Using SageMaker To Train A Machine Learning Model:

This project will help you get acquainted with the many wonders of SageMaker and with multiple machine learning concepts and algorithms. What is the purpose of this tool? Amazon SageMaker gives you quick access to an integrated development environment for machine learning.

The IDE allows you to create notebooks, switch between steps, check the results, and perform more actions. The completion process can be simplified if you know how to use the Autopilot feature of SageMaker. You can start with a basic-level question-answering bot with a set of questions present in its options.


AWS Projects For The Final Year

1. Building An Online Store:

A truly impressive addition to your final year AWS portfolio is an e-commerce platform, built from scratch. You can build one that can automatically perform multiple tasks effortlessly, for example – order placements, payments, recommendations, and so on. To build an online platform, you can use the AWS Marketplace service.

It enables you to discover, procure, entitle, provide, and govern third-party software easily. You can find free and customizable e-commerce stores in the AWS Marketplace by typing ‘e-commerce’ in the search menu. To make this online store easily accessible to customers, you can use the Amazon CloudFront tool.

2. Creating A Simple Android App:

Here, you can choose to build a simple android app that comprises and displays a list of employees. You will have to download Java JDK as well as Android Studio into your system to get started. In this project, you will learn to set up APIs.

They enable you to list, create, and store data. If you want user authentication, you would ideally have to dive into the backend aspect of the app. However, with AWS amplify, you no longer have to do that. With this project, you are sure to gain a deeper understanding of the AWS features required to build Android apps.

3. Building Attendance Automation:

This project brings you a chance to navigate the many AWS services such as Amazon Cognito, Lightsail, Rekognition, and more. AWS Cognito will be used for user authentication. Lightsail (Amazon virtual cloud server) will be used to provide a free static IP address to host the website.

The Amazon Rekognition service will store data about the faces identified. This will be done in server-side containers known as collections. This way, the image of students on the identity card can be easily read and scanned. Once the card is scanned, the data will be saved in DynamoDB.

4. Creating & Deploying A React Application:

If you are familiar with ReactJS, then this project is a must-try. You can leverage React to create single-page applications. Through this project, you will be able to refine the skills required to take on the most complex full-stack development and AWS cloud computing projects.

You can use AWS amplify to build an application. You also can deploy and host serverless web applications. You first have to host the React app on AWS Amplify. Then, you have to use Amazon Cognito for authentication. GraphQL can be used to develop a RESTful API for your app.

5. Leveraging Lex To Create Chatbots:

One of the best examples of AI is a chatbot. It is largely used in dialog systems to enhance customer experience and reduce the costs of manual customer services. In this project, you will use Amazon Lex to build a chatbot. One of the key purposes of this service is to make it easier for developers to create chatbots. Lex offers one-click deployment.

This means that once you create a bot, you can add it to multiple platforms. You only have to add a few phrases and samples to train the model. You can integrate Amazon Lex with other AWS services as well.


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