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In this video, we build an **AI-powered Image Editor from scratch using AWS services**, focusing on a secure, scalable, and serverless architecture. Github Repo: https://github.com/avizway1/serverless-ai-editor You will learn how to design and implement a real-world AI application using **AWS Cognito, API Gateway, Lambda, and Amplify**, while integrating AI image processing capabilities in a production-ready manner. ### What you’ll learn in this video: * End-to-end architecture of an AI Image Editor on AWS * User authentication and authorization using **Amazon Cognito** * Building secure REST APIs with **Amazon API Gateway** * Implementing backend logic using **AWS Lambda (serverless compute)** * Hosting and deploying the frontend using **AWS Amplify** * Handling image uploads, processing requests, and responses * Best practices for scalability, security, and cost optimization ### Who is this video for? * AWS beginners looking for a hands-on project * Cloud & DevOps engineers building serverless applications * Students preparing cloud portfolios * Anyone interested in AI-powered applications on AWS By the end of this video, you’ll have a **complete AI image editing application** and a solid understanding of how modern cloud-native AI apps are built on AWS. If you find this useful, don’t forget to **like, share, and subscribe** for more hands-on AWS, DevOps, and AI projects.
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