Top 4 AWS Projects that will get you a Job (AS A BEGINNER)
Updated: January 19, 2025
Summary
The video introduces four projects aimed at enhancing technical skills for DevOps or AWS Cloud practitioners, covering topics from basic to advanced levels such as setup, technologies, security, and logging. It explores the AWS Workshops site for learning opportunities like AI, image API, and cloud services with a hands-on approach. The three-tier architecture in AWS, including web, application, and database tiers, is explained in detail with a focus on network setup components like VPC, region, subnets, and availability zones. Viewers are guided on creating a CI/CD pipeline on AWS using CodeCommit, CodeDeploy, and CodePipeline for integrating and automating development and operations. The video also delves into serverless projects running on AWS Lambda, emphasizing deployment, resource integration with tools like API Gateway, and mastering Lambda functionalities for efficient project management. Deployment of a web application on a Kubernetes cluster on AWS is explored to provide practical experience with containerization, security, and access control using AWS container services.
Introduction to AWS Projects
Introducing four projects to enhance technical skills as a devop or AWS Cloud practitioner, categorized from basic to advanced, covering setup, technologies, security, and logging.
Utilizing AWS Workshops for Projects
Exploring the AWS Workshops site for various projects and learning opportunities, including AI, image API, and cloud services, with a focus on hands-on experience and project implementation.
Setting Up a Three-Tier Architecture
Understanding the three-tier architecture in AWS, covering web, application, and database tiers, with a detailed explanation of network setup, VPC, region, subnets, and availability zones.
Building a Continuous Integration and Deployment Pipeline
Creating a CI/CD pipeline on the AWS platform using tools like CodeCommit, CodeDeploy, and CodePipeline, emphasizing integration and automation of development and operations.
Implementing Serverless Projects with AWS Lambda
Developing serverless projects running on AWS Lambda, focusing on deploying applications, integrating resources like API Gateway and AWS services, and mastering Lambda functionalities.
Enhancing Integration with AWS Tools
Enhancing integration with AWS tools like Recognition, focusing on improving workflows and operations efficiency.
Hosting a Web Application on Kubernetes
Deploying a web application on Kubernetes cluster on AWS, emphasizing containerization, security, and access control, to gain hands-on experience with AWS container services.
FAQ
Q: What are some projects to enhance technical skills for a DevOps or AWS Cloud practitioner?
A: Some projects to enhance technical skills include setting up CI/CD pipelines, developing serverless projects on AWS Lambda, deploying web applications on Kubernetes clusters, and exploring AI, image API, and cloud services on the AWS Workshops site.
Q: What is a three-tier architecture in AWS?
A: A three-tier architecture in AWS consists of web, application, and database tiers. It involves setting up networks, VPCs, regions, subnets, and availability zones to ensure proper functionality and scalability of the application.
Q: What tools are used to create a CI/CD pipeline on the AWS platform?
A: Tools like CodeCommit, CodeDeploy, and CodePipeline are commonly used to create a CI/CD pipeline on the AWS platform. These tools help in integrating and automating development and operations processes.
Q: How can serverless projects be developed on AWS Lambda?
A: Serverless projects can be developed on AWS Lambda by deploying applications and integrating resources such as API Gateway and other AWS services. Developers focus on mastering Lambda functionalities to ensure efficient execution of serverless applications.
Q: What is the focus of integrating AWS tools like Recognition?
A: The focus of integrating AWS tools like Recognition is to improve workflows and operational efficiency. By leveraging tools like Recognition, practitioners aim to enhance integration with AI-based services and streamline their operations.
Q: What are the key aspects of deploying a web application on a Kubernetes cluster on AWS?
A: Key aspects include emphasizing containerization of the application, ensuring security measures are in place, and implementing access control mechanisms. This hands-on experience with AWS container services helps in deploying and managing web applications efficiently on Kubernetes clusters.
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