| File Name: | Build an AI Voice Studio SaaS with Next.js 16 & Python |
| Content Source: | https://www.udemy.com/course/ai-saas-app-nextjs-python |
| Genre / Category: | Ai Courses |
| File Size : | 3.8 GB |
| Publisher: | udemy |
| Updated and Published: | December 8, 2025 |
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.
DOWNLOAD LINK: Build an AI Voice Studio SaaS with Next.js 16 & Python
Build_an_AI_Voice_Studio_SaaS_with_Next.js_16_Python.part1.rar – 1000.0 MB
Build_an_AI_Voice_Studio_SaaS_with_Next.js_16_Python.part2.rar – 1000.0 MB
Build_an_AI_Voice_Studio_SaaS_with_Next.js_16_Python.part3.rar – 1000.0 MB
Build_an_AI_Voice_Studio_SaaS_with_Next.js_16_Python.part4.rar – 846.9 MB
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