Vidit Shah

    Building a FullStack AI SaaS Web App on AWS and Vercel

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    SaaS · Online Course

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    Building a FullStack AI SaaS Web App on AWS and Vercel is a highly practical, project-based masterclass tailored for intermediate developers, software engineers, and SaaS founders looking to bridge the gap between frontend deployment and cloud-native backend architecture. Led by industry expert Vidit Shah, this comprehensive 3.5-hour course guides you through creating a sophisticated, medical-grade AI classification platform inspired by real-world research. You will learn to harness Next.js for a sleek, responsive user experience on Vercel while constructing a robust, scalable serverless backend on Amazon Web Services (AWS) using the AWS Cloud Development Kit (CDK) with TypeScript. Throughout the course, students tackle advanced workflows, including automated data pipeline setups. You will extract medical imaging datasets from Kaggle using AWS EC2, store assets securely on Amazon S3, and train specialized image categorization models using AWS Rekognition Custom Labels. The curriculum dives deep into secure user management and monetization strategies by integrating Clerk for authentication and Stripe for subscription processing, linking both services to AWS via real-time webhooks. This course is ideal for full-stack developers eager to master cloud infrastructure, serverless pipelines, and monetizable AI SaaS integrations.

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    Vidit Shah

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    Vidit Shah

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    Vidit Shah is a dedicated software engineer and technical educator with a sharp focus on modern web development and cloud architecture. With a deep passion for building scalable, high-performance applications, Vidit has spent years navigating the complexities of the full-stack landscape. His approach to teaching is grounded in practical application, favoring hands-on projects over abstract theory. By deconstructing complex concepts into manageable, actionable steps, he empowers his students to bridge the gap between initial concept and production-ready deployment. Vidit is particularly noted for his expertise in the AWS ecosystem and the Vercel deployment pipeline, helping developers streamline their workflows and…Show more

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    Program Overview

    Online Course

    Learning format

    SaaS

    Subcategory

    $19.99

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    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.

    Best For

    • Intermediate developers looking to transition from simple frontend projects to scalable cloud-native architectures.
    • Software engineers interested in building production-ready AI applications using serverless AWS infrastructure.
    • SaaS founders who need to implement subscription-based billing and secure authentication in a cloud-hosted environment.
    • Developers familiar with TypeScript who want to master Infrastructure as Code using the AWS CDK.

    Not For

    • Complete beginners who have never written code or do not understand basic web development concepts.
    • Developers looking for a theoretical machine learning course focused on training custom models from scratch using Python/PyTorch.
    • Individuals seeking basic web design or CSS-focused tutorials without interest in backend cloud services or infrastructure.
    • Learners who prefer a purely local development workflow and have no interest in deploying on AWS or Vercel.

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