HomeBlogCloud ComputingTop AWS Solution Architect Projects in 2024 [with Source Code]
The world's most valuable publicly listed firm, Amazon offers everything from e-commerce to cloud services. A majority of businesses and organizations around the globe rely on Amazon Web Services (AWS), the company's cloud computing division. As more enterprises adopt AWS for comprehensive operational management, the demand for cloud computing specialists rises. Consequently, individuals aiming to bolster their IT and cloud computing careers are keen on obtaining AWS credentials.
The AWS Solutions Architect certification stands out as the most desired among various AWS qualifications. AWS Solution Architect roles have significant applications in the realms of AI, Machine Learning, IoT, and numerous other cutting-edge technologies. As technology evolves, possessing this certification ensures a competitive edge in the industry.
Furthermore, it opens doors to myriad opportunities in the dynamic world of tech. In the below blog, we are going to read more about some of these AWS Solution Architect projects. We can also learn more about the same on Solution Architect Training.
In the normal world, architects are responsible for creating structures and various designs of buildings. AWS Solution Architects are similar to them just instead of buildings, they are responsible for creating and designing in AWS. AWS Solutions Architects are primarily responsible for deploying applications to AWS cloud infrastructure. It is their duty to produce a design that not only reduces costs but also takes usability, dependability, scalability, and performance into account.
AWS Solutions Architects are also in charge of reducing risks that an organization can encounter, including risks related to application unavailability, calculation mistakes, and data breaches. To build the most secure cloud environment possible, this necessitates a thorough grasp of how to combine all the components in the AWS cloud.
Users of the AWS platform can take use of cloud computing concepts such as Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). Cloud computing technologies are becoming an essential component of business operations and procedures. The AWS projects can aid in the development of skills in cloud computing as well as other cutting-edge and critical technologies such as IoT, AI, and others.
Professionals may be able to study the numerous service options for novices via AWS projects. They may also aid in the growth and enhancement of web development, hosting, design, and deployment abilities. Data management and handling is another area that may be examined and improved by working on these project ideas. There are several AWS open-source projects available that can aid with expertise. Professionals may broaden their skill sets by working on these AWS freelancing assignments. In the next section, we have discussed some of the sample projects for AWS Solution Architect.
Below are some of the AWS Solution Architect sample projects:
The objective is to precisely and rapidly convert the document to the format that the user has chosen. Online stores provide a wide variety of document converters, including PDF to Word converters and others. You must have needed to convert an HTML page or document to PDF format at some point. In a similar vein, converting an Excel sheet to a Word document or other format is frequently necessary. You may create a program that quickly converts documents between different file formats using AWS Lambda. You may get the necessary content, format it, and transform it so that it can be downloaded or shown on the website. You may use such an app on a job portal where users frequently want to change the format of their resume. This is one of the basic projects and comes under AWS Solution Architect Associate projects. To learn more about cloud computing, visit the best Cloud Computing courses.
Source Code: Document Conversion
The objective is to install Windows Virtual Machines without introducing any instances that violate security. Microsoft Azure's VM Management is a well-liked utility for deploying virtual machines. Windows virtual machines can be deployed on AWS, and Amazon Lightsail may be used as the web service for this purpose. It will help to streamline the process and allow you to use the most resources possible in accordance with your needs. You may connect to the RDP client using this service, and the user interface is simple to get used to.
Source Code: VM Deployment
The objective is to create a website using AWS that has high levels of security, dependability, usability, and availability. The virtual private server used to build various websites is AWS Lightsail. By building a website, you may practice using AWS. You may build a website to manage your household spending or one to record student information at a university. When using AWS Lightsail as the virtual private server, you may utilize either the AWS EC2 or AWS Lambda services.
Source Code: Website Development
The objective is to utilize AI and ML with AWS to suggest content to end customers based on their past behavior. Nearly all streaming services, including Netflix and Amazon Prime, feature content suggestions. To work on this project, you may leverage the AWS cloud using closest-neighbor techniques. Please utilize Amazon SageMaker for this project. It is the instrument for easily carrying out ML implementations. It has built-in algorithms that don't require label information. Additionally, it streamlines the activities by substituting semantic search for string matching. Results and suggestions will be accurate thanks to AWS and closest neighbor algorithms. This comes under AWS Solution Architect live projects.
With the aid of AWS (Amplify, Lambda, etc.), the objective is to create and release a serverless web app that is reliable and easy to use. A notable real-world application that makes use of several AWS and cloud services is Netflix. To work on the project, you can mix a variety of technologies. For example, the front end of the app and hosting procedures will require AWS Amplify. The back-end administration and authentication may be handled via AWS Cognito. Additionally, you may utilize DynamoDB to add a persistence layer for storage. The backend API may be used with AWS Lambda and API Gateway. Additionally, you must be familiar with how to develop RESTful APIs using HTML, JavaScript, and CSS. You may start with a straightforward app, like an MI calculator. This comes under the AWS Solution Architect Capstone project.
The goal of this machine learning project is to create text-to-speech software. A common AI-based feature seen in many websites and online apps is text-to-speech. The program Google Text-to-Speech is one of the most widely utilized. Text data may be spoken aloud using AWS Lambda and Amazon Polly. You may be able to create apps for speech synthesis that are realistic thanks to the combination. Utilize cutting-edge deep learning technology with Amazon Polly to do precise conversions. Since it will be crucial in all real-time applications, AWS Lambda will have the opportunity to increase response times.
A personalized news stream based on preferences and past browsing and search history is the aim. According to search and browsing history, Google employs this feature to display suggested articles in the mobile browser. You may create a customized content delivery platform using AWS Lambda and DynamoDB. It will be your responsibility to gather the data from user touchpoints. The data for the application is kept in DynamoDB. The platforms for creating user profiles are Lambda functions and data that has been saved. The construction of the customer feed is made possible by associated factors.
Consider creating a native Android app to provide a list of student outcomes. AWS Amplify will meet all of your requirements if you want to build up APIs that permit listing, generating, and saving student data as well as user authentication but don't want to handle the backend management. The primary method for communicating with AWS services from an Android smartphone is the Amplify Android library. Because it offers a high-level interface for carrying out all kinds of cloud activities.
The objective is to handle the large amounts of data in real-time while maintaining the correctness of the results. A real-world example is Bustle, which uses AWS services to handle enormous amounts of site statistic data in real-time. To complete this project, you may utilize AWS Lambda and Amazon Kinesis Stream. In the first stage, you will be needed to construct a Kinesis Stream, and it will be crucial for you to setup it so that it may collect data from a web source. With the scalability of the stream, several Lambda function instances will scale up or down automatically. You can utilize location-based data or social media timelines as your data sources. Three forms are available for integrating Kinesis with AWS Lambda: stream-based approach, synchronous invocation model, and event structure model. This comes under AWS Solution Architect real time projects.
Machine learning specialists are in high demand, thus working on ML projects is a need if you want to work in this field. Amazingly, AWS has machine learning options in its services, with Amazon SageMaker being the most well-liked among them. SageMaker may be used in this project to train a machine-learning model. You may create machine learning applications using Amazon SageMaker's distinctive, integrated development environment. You may create notebooks, move between phases, examine the outcomes, and do a lot more using the IDE. You may rapidly and effectively obtain the compute instances using SageMaker notebooks. To finish the procedure with a lot less effort, you may also use SageMaker's Autopilot option.
AWS Solution Architect applications are used in wide range of businesses and applications as discussed in above section. The aim of these applications is to design and provide scalable, secure, and cost-effective solutions for their customers for their daily needs and requirements. These projects cover wide range of applications in industries and other areas.
These applications include providing global infrastructure to enterprises and providing various scalable and cost-effective storage solutions. It also covers applications such as Big Data Analysis and IoT solutions. AWS Solution Architect applications also helps us in Machine learning algorithms and its applications which are in lot of demand right now. Other than these it also provides applications which provide serverless architecture, development tools and building of websites and mobile applications.
The above examples demonstrate the importance of AWS Solution Architect projects in meeting the ever-changing demands of industries and organizations. To get in-depth knowledge about the AWS Solution Architect course, you can check KnowledgeHut Solution Architect training.
An excellent career outlook is available for AWS Solutions Architects. Once you're in the industry and have established yourself as a competent and experienced expert, you'll likely become a sought-after professional with possibilities to climb up the career ladder or move to another organization in addition to the numerous opportunities that are now accessible to you.
Some of the commonly faced challenges in AWS Solution Architect projects are cost management, performance challenges, and security-related and network issues.
You have access to a vast array of features and tools to assist you in achieving your security goals. In the areas of network security, configuration management, access control, and data encryption, AWS offers security-specific tools and services.
Some of the best practices for AWS Solution Architect projects are to make the project scalable and reliable, optimize the costs as much as possible, and make the performance as efficient as possible.
AWS Solution Architects adopt a consumption model where you only pay for what you use, evaluate your total resource usage efficiency, and avoid paying for data center operations like electricity cooling. Utilise managed services to lower the cost of ownership and spot patterns by tracking spending over time.
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