Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Build an AI Voice Studio SaaS with Next.js 16 & Python
Rating: 4.0 out of 5(1 rating)
10 students
Created byDr. Sahand Ghavidel
Last updated 12/2025
English

What you'll learn

  • Build a complete AI Voice Studio SaaS application from scratch using Next.js 16, TypeScript, and Python.
  • Master modern web development tools including Tailwind CSS, Prisma ORM, and the Next.js App Router.
  • Implement full-stack features such as custom user authentication, database modeling with PostgreSQL, and API integration.
  • Learn how to connect a modern React frontend with a Python backend to handle AI text-to-speech generation.

Course content

6 sections • 14 lectures • 4h 40m total length

  • Intro and project preview13:46

Requirements

  • Basic understanding of JavaScript and React concepts (components, props, state).
  • Node.js and Visual Studio Code installed on your computer.
  • No prior experience with Python or AI integration is strictly required, but it is helpful.

Description

This course contains the use of artificial intelligence.

Are you ready to build a modern, full-stack AI application from scratch?

In this course, we move beyond simple "To-Do" apps and build a real-world AI Voice Studio SaaS. You will learn how to combine the power of Next.js 16 and TypeScript on the frontend with a robust Python backend to handle AI text-to-speech generation.

This is a hands-on, project-based course designed to bridge the gap between frontend development and AI software engineering. We utilize the T3 Stack as our foundation, giving us a type-safe and efficient development environment right from the start.

What you will build and learn:

  • Modern Frontend Architecture: Master the Next.js 16 App Router and create beautiful, responsive user interfaces using Tailwind CSS.

  • Powerful Backend Integration: Learn how to connect a React-based frontend with a Python backend to execute complex AI tasks.

  • Data Management: We will use Prisma ORM with a PostgreSQL database (via Neon) to model relationships and manage user data efficiently.

  • Authentication from Scratch: Instead of relying solely on pre-built wrappers, we will build a custom authentication system to give you a deeper understanding of security and user management.

  • Real-World Tooling: Gain experience with industry-standard tools like Modal for serverless AI execution and Polar for SaaS features.

By the end of this course, you will have a fully functional SaaS application in your portfolio and the confidence to build your own AI-powered products.

Who this course is for:

  • React and Next.js developers looking to expand their skills into building AI-powered SaaS applications.
  • Full-stack developers who want to learn how to integrate Python backends with modern TypeScript frontends.
  • Aspiring indie hackers or entrepreneurs who want to build and deploy their own software products.

Report abuse