Building a FullStack AI SaaS Web App on AWS and Vercel

About this course

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 applicati

Course objectives

• empower students to create AI SaaS applications
• equip students with cloud-computing skills
• teach secure and efficient application deployment