AWS Cloud Projects

Overview

This course is designed to enhance your AWS skills through practical, hands-on projects. You'll master AWS cloud services, gaining expertise in deploying scalable applications, integrating AI, and automating workflows. With each project, you'll build a strong portfolio and gain relevant skills that will set you apart in the competitive tech industry. As you work through the eight projects, you will learn key AWS services and how to use them effectively. You will gain practical skills by building and deploying real-world applications, which will not only strengthen your technical knowledge but also provide the experience needed for professional growth. This course stands out by combining theoretical AWS knowledge with real-world applications. You’ll develop practical cloud skills through guided projects, which will provide a deeper understanding of how AWS services can be leveraged in various use cases. This course is ideal for students, software developers, and IT professionals seeking to expand their cloud experience. A basic understanding of programming is helpful, but no prior AWS knowledge is required.

Syllabus

Deploying and Interacting with AWS Services

In this section, we explore deploying and interacting with AWS services using the console, CLI, SDKs, and IaC tools, emphasizing practical skills for efficient cloud management.

Creating a Personal Website

In this section, we explore creating a personal website using AWS S3 and CloudFront, focusing on deployment, security, and optimization for scalable online presence.

Building a Recipe-Sharing Application

In this section, we build a recipe-sharing web application using S3, CloudFront, EC2, and DynamoDB, focusing on secure deployment and integration of frontend and backend components.

Building a Serverless Recipe-Sharing Application

In this section, we explore rearchitecting a recipe-sharing application using serverless technologies, focusing on AWS Lambda, API Gateway, and Cognito for scalable, event-driven, and secure backend solutions.

Implementing an Image Analyzer to Detect Photo Friendliness

In this section, we explore implementing a serverless image analyzer using AWS ML services. Key concepts include Terraform, Python, and Amazon Rekognition for photo quality assessment.

Architecting a Content Translation Pipeline

In this section, we cover building a multilingual web app with AWS and CI/CD.

Implementing a Chatbot Using Machine Learning

In this section, we implement a meeting-scheduling chatbot using Amazon Lex and AWS CloudFormation, focusing on NLP integration and real-world AI deployment.

Building a Business Intelligence Application

In this section, we build a business intelligence application using AWS services like Glue, Athena, and QuickSight to process and visualize clickstream data for user behavior insights.

Exploring Future Work

In this section, we explore AWS service trade-offs, cost estimation with the AWS Pricing Calculator, and scalable architecture design for real-world applications.