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Hands-On Modern Development of Image Upload with Next.js&AWS
Rating: 4.8 out of 5(12 ratings)
2,986 students

Hands-On Modern Development of Image Upload with Next.js&AWS

Build a real-world Next.js app with AWS S3, SQS, Lambda, EC2, and ALB - upload images and process them in under 2 hours.
Created byLukasz Kallas
Last updated 5/2026
English

What you'll learn

  • Create and configure S3 buckets for file uploads and processed outputs
  • Connect S3 with SQS to automatically publish object creation events
  • Write and deploy a Lambda function to process uploaded images
  • Build a simple Next.js app with upload and gallery functionality
  • Run the application on EC2 and manage it with GitHub
  • Secure your app with an Application Load Balancer and SSL on a custom domain
  • Understand how to connect multiple AWS services into a working solution

Explore related topics

Course content

3 sections • 12 lectures • 2h 0m total length

  • Welcome!4:57

    This hands-on course builds an image upload pipeline with Next.js and AWS, uses S3, SQS, Lambda for watermarking, and is guided by Cursor IDE and AI assistance.

  • Join Our Community0:04
  • Setup22:20

Requirements

  • Basic understanding of JavaScript/TypeScript
  • An AWS account (free tier is enough)
  • Installed tools: Node.js, Git, Cursor (or VS Code), AWS CLI

Description

Welcome to Hands-On Modern Development of Image Upload with Next.js & AWS – a practical, project-based course designed to give you real-world skills in building modern cloud-enabled applications.

In this course, we will learn how to build a fully functional image upload system from scratch using Next.js on the frontend/backend and Amazon Web Services (AWS). We’ll take a hands-on approach, skipping unnecessary theory and focusing on practical steps you can immediately apply in your own projects.

You will:

  • Set up a modern development environment with Node.js, Cursor IDE, and AWS CLI.

  • Create a Next.js project and connect it with AWS services.

  • Use Amazon S3 for secure and scalable image storage.

  • Trigger background processing with Amazon SQS + Lambda using S3 event notifications.

  • Manage access securely with AWS IAM.

  • Test and interact with AWS resources using the AWS CLI and SDK.

By the end of the course, you’ll not only have a working project that demonstrates modern cloud-native image handling, but also the confidence to extend and adapt it for your own professional use cases.

This course is designed for developers, DevOps engineers, and cloud enthusiasts who want to strengthen their skills in frontend–backend integration and AWS cloud development. No prior AWS experience is required, but basic JavaScript/React knowledge will help you follow along smoothly.

Who this course is for:

  • Developers who want to learn AWS through a practical project
  • Next.js learners who want to extend their skills into cloud integration
  • DevOps or full-stack beginners looking for an end-to-end example
  • Anyone who prefers hands-on learning over slides and theory

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