Building A Fullstack Ai Saas Web App On Aws And Vercel

Develop, Deploy, and Scale an AI-Powered Application using NextJS and AWS using Serverless Architecture

What you'll learn

Leverage AWS EC2 to download datasets from Kaggle and upload them to S3 for seamless data management.

Build a robust Machine Learning model that categorizes retinal diseases using AWS Rekognition Custom Labels, inspired by the renowned Singapore Eye Research Ins

Deploy your backend using AWS CDK with TypeScript, ensuring scalability and efficiency.

Integrate Clerk for secure authentication and leverage Clerk Webhooks to interact with AWS resources seamlessly

Implement Stripe for reliable payment processing and utilize Stripe Webhooks to communicate with your AWS infrastructure.

Requirements

Basic React and AWS Account

Description

Are you ready to revolutionize your web development skills and create a cutting-edge AI-powered SaaS application? This comprehensive course is designed to take you on a transformative journey, empowering you with the knowledge and hands-on experience to build a full-stack application using the latest technologies and best practices.Throughout this course, you'll dive deep into the world of AWS and harness its incredible potential. You'll learn how to leverage AWS EC2 to efficiently download datasets from Kaggle and seamlessly upload them to S3, ensuring smooth data management. By mastering this process, you'll lay the foundation for building powerful applications that can handle vast amounts of data with ease.But that's just the beginning! You'll embark on an exciting project inspired by the renowned Singapore Eye Research Institute, where you'll build a sophisticated Machine Learning model capable of categorizing retinal diseases. With the help of AWS Rekognition Custom Labels, you'll train your model to accurately identify and classify various eye conditions, showcasing the immense potential of AI in the healthcare domain.To ensure the scalability and efficiency of your application, you'll learn how to deploy your backend using AWS CDK with TypeScript. This modern approach to infrastructure as code will enable you to define and manage your application's resources with precision and flexibility. You'll gain valuable skills in architecting robust and maintainable backend systems that can handle high traffic and scale seamlessly.Security is paramount in any application, and this course has you covered. You'll learn how to integrate Clerk for authentication, providing your users with a secure and seamless login experience. Moreover, you'll explore the power of Clerk Webhooks to establish efficient communication between your application and AWS resources, enabling real-time updates and synchronization.No application is complete without a reliable payment system, and that's where Stripe comes in. In this course, you'll discover how to implement Stripe for smooth and secure payment processing. You'll also learn how to leverage Stripe Webhooks to facilitate communication between your payment system and your AWS infrastructure, ensuring a seamless integration and enabling automated workflows.By the end of this course, you'll have a fully functional AI-powered SaaS web application that showcases your skills in AWS, machine learning, backend development, authentication, and payment integration. You'll have the confidence and expertise to tackle complex projects and create innovative solutions that push the boundaries of what's possible.Don't miss this opportunity to elevate your web development career and gain a competitive edge in the industry. Enroll now and embark on a transformative learning journey that will unlock your full potential as a full-stack developer. Get ready to build applications that make a real impact and shape the future of technology!

Overview

Section 1: Setup and Course Resources

Lecture 1 IAM User Setup

Lecture 2 AWS-CDK Setup and Bootstrap

Lecture 3 Course Resources

Section 2: Machine Learning

Lecture 4 Intro & Setup

Lecture 5 Kaggle and EC2

Lecture 6 Training And Testing

Lecture 7 Starting the Machine Learning Model

Lecture 8 Doing Inference And Stopping The Model

Section 3: Backend

Lecture 9 Creating Database Stack

Lecture 10 Setting Up Dummy User

Lecture 11 Creating Lambda Stack

Lecture 12 Creating S3 Stack

Lecture 13 S3 Put Event

Lecture 14 Setting Up Simple Email Service (SES)

Lecture 15 Image Modification

Lecture 16 Extracting ClerkID

Lecture 17 Fetching Email From Users Table

Lecture 18 Show Custom Labels

Lecture 19 Custom Labels Error Fix

Lecture 20 Sending Email SES

Lecture 21 Updating Credits

Section 4: Frontend

Lecture 22 Setup

Lecture 23 HouseKeeping

Lecture 24 HomePage

Lecture 25 Clerk Setup

Lecture 26 Clerk Webhook Integration

Lecture 27 Stripe Products

Lecture 28 Get Products Route

Lecture 29 Payment Routes

Lecture 30 Product Page / S3 upload

Developers who wish to make SAAS products,Someone who wishes to integrate technologies together to make a working Product,Someone who is tired with tutorial Hell and wants to start build real software products