What is Amazon Web Service?
AWS provides various computing services like providing servers, storage, networking, remote computing, email, mobile development, and security. In this blog we will see 5 easy Amazon Web Services Projects for beginners
Amazon Web Services is broken into three services:
EC2: Virtual Machine Service
Glacier: Low-cost cloud storage service
S3: Storage System
History of Amazon Web Services
During the 2000s when Amazon was still an e-commerce company, it rolled out Merchant.com, to enable its third-party vendors to start their own shopping websites on amazon’s platform. As the plan was put to execution, several challenges emerged, the biggest one being the absence of a centralized development platform to separate various services and make the new application development process faster.
What started off as an effort to streamline internal IT infrastructure ended up becoming a game-changing business model for not just amazon but for a lot of other companies. With its accessibility, cost-effectiveness, and scalability, Amazon Web Service is one of the biggest names in the cloud computing space closely followed by Microsoft’s Azure.
Why is AWS better than other cloud providers?
- The gigantic infrastructure spread across 25 regions in 6 continents with multiple availability zones and highly secure inaccessible locations
- AWS comes with several features,175 services and counting with new features and enhancements coming every week
- The wide range of services to suit every need, streaming media, robotics, and even quantum computing
- A proprietary hardware high-speed optic fiber infrastructure to have a robust network
- Agility, efficiency, and reliability in IT operations
- Low-cost migration services
- It is an investment in machine learning and data analytics
Top Reasons to learn AWS
The global cloud computing market size is valued at USD 445.3 billion in 2021 to USD 947.3 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 16.3% during the forecast period.
A recent study conducted by AlphaBeta, commissioned by Amazon Web Services found that the demand for employees with cloud-based skills is steadily increasing, nearly 46% of the workers in India are not confident about gaining digital skills fast enough and use them for career progression.
And that is just one of the reasons for learning AWS. Let’s take a look at some other reasons:
- AWS is the fastest-growing cloud computing service in the world and more and more organizations are opting for the platform
- Since more organizations are migrating to the platform there is a need for a workforce skilled in AWS, 60% of the cloud computing job require AWS-related skills
- AWS also provides a free tier AWS account to novices, trainees, and apprentices, including anyone who wants a hands-on experience on AWS, some accounts grant free access year long with additional premium services available for a free trial, allowing a user enough exposure to get started on AWS
- Credible certificates
- A thriving community with plenty of support and learning resources
- Competitive Pay
Having built a case for AWS, it’s time to get started, and what better way to do it than through real-time projects?
Let’s explore some of the AWS projects for beginners here:
One of the most popular and interesting projects on Amazon Web Services. The project involves creating a face recognition model that can identify celebrities. While the manual method is complex and time-consuming, AWS makes it super easy and quick. Using Amazon Rekognition and deep learning, users can add and analyze images, objects, texts, people, videos, and pictures.
Chatboxes is an important tool for online businesses. 58% of B2B and 42% of B2C businesses use the chatbox. The chatbot is an application powered by AI that uses NLP to simulate human conversation through speech or text. The project involves using Amazon Lex to build a chatbot that can be easily added to multiple platforms and trained by adding simple words and phrases.
Creating, managing, and orchestrating containers using Kubernetes is an important cloud computing skill. Kubernetes is an open-source solution excellent for AWS projects for beginners.
Content Recommendation System – To enhance user experience and engagement big companies like streaming giant Netflix or the e-commerce player Flipkart, all use AI and ML-backed recommendation systems. This project involves using Amazon SageMaker which relies on semantic search to give relevant and accurate recommendations to the users.
Website with AWS
Another interesting beginner-level AWS project is creating a website using Amazon Lightsail, SSD-based storage with an extremely simple UI. Even a beginner can play around with this tool and build a website as it comes with some pre-configured web development tools like Joomla and WordPress.
A Serverless web app
Once the basics are clear, and the beginner-level projects are completed, a more intermediate-level project like building a serverless web app can be undertaken. This project involves working on a couple of technologies simultaneously and will help implement the learnings in a practical setup. The technologies used in this project are:
AWS Amplify is a set of purpose-built tools and features to help build full stack applications configure a web or mobile app backend, connect apps, build a web frontend UI and easily manage app content outside the AWS console
For User management and authentication for the backend API with the scope of adding millions of users and support sign-ins for social identity providers.
Amazon API Gateway and AWS Lambda
To create, publish, maintain, monitor, and secure APIs at any scale. Lambda is a serverless, event-driven compute service that allows code to run virtually on any type of application or backend service without provisioning or managing servers.
This is a NoSQL database designed to run high-performance applications at any scale.
Rapid Document Conversion
AWS Lambda can be used to create an app that converts documents to desired formats super quickly. A very useful application and a fun project for beginners to learn AWS.
A Machine Learning Model
If one is interested in machine learning and AI, this project is a step in that direction. One can train a machine learning model by using Amazon SageMaker.
Each of these projects will help you grasp AWS better and help put knowledge into practice.