Build Ai Saas: Laravel, Serverless, Polar Pay, Docker & Vue3

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Build Ai Saas: Laravel, Serverless, Polar Pay, Docker & Vue3
Published 2/2026
Created by Umair Ahmed Younas
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 18 Lectures ( 5h 15m ) | Size: 5 GB[/center]
Master Laravel, RunPod: Build an AI SaaS with Docker, Vue3, and Serverless GPU. Learn Cost-Tracking, Webhooks, Payment
What you'll learn
✓ Deploy AI Models on RunPod Serverless: Master containerizing AI models with Docker and deploying to RunPod Serverless to leverage high-end GPUs.
✓ Architect a Full-Stack AI SaaS: Build a 3-tier app using Laravel, InertiaJS, and Vue3, using Google Cloud Storage and Webhooks between web app and GPU workers
✓ Master Usage-Based Billing & Payments: Implement a credit-based system that tracks GPU execution time for automated balance deduction, integrated with Polar.
✓ Build a Developer API & Playground: Use Laravel Sanctum to create a secure API infrastructure, allowing users to integrate your AI features into their own apps.
Requirements
● Basic PHP, Python & JavaScript Knowledge: Familiarity with the basics of PHP (Laravel) and JavaScript (Vue3) will help you follow along with the SaaS development.
● No Prior AI or DevOps Experience Needed: I will teach you the basics of containerization, serverless GPU deployment, and cost tracking from the ground up!
Description
Building an AI startup often feels like a puzzle with missing pieces-especially when you're hit with the massive costs of running GPUs. This course is your complete blueprint to solving that puzzle. You won't just build a "demo" app; you will architect a production-grade, usage-based SaaS that leverages the power of high-end AI while maintaining a lean, "pay-per-second" budget.
The Project: A Professional AI Voice Cloning Platform
Throughout this course, we will build a platform where users can upload a reference audio clip and generate new speech in that exact voice using the AI model. You will learn how to stitch together the most powerful tools in modern development to create a seamless user experience.
What We Will Cover
• Serverless AI Deployment: Move beyond expensive dedicated servers. We'll use RunPod Serverless to trigger GPUs only when needed, reducing your infrastructure costs by up to 90%.
• The Power of Docker: You'll learn the fundamentals of Containerization. We will wrap our Python AI model and its dependencies into a Docker image, ensuring your environment is portable and scalable.
• Modern Web Stack: We build the frontend and backend using Laravel, InertiaJS, and Vue3, giving you a fast, single-page application feel with the robust security of a PHP backend.
• Smart Storage & Webhooks: Learn how to handle large media files with Google Cloud Storage and how to use Webhooks to let your GPU workers "talk" back to your Laravel app once the AI processing is complete.
• The Business Logic (Credit System): This is the "SaaS" secret sauce. You'll implement a system that tracks exactly how many seconds a model runs and automatically deducts credits from a user's balance.
• Monetization & API Access: We will integrate Polar (the developer-first Stripe alternative) for payments and build an API Playground with Laravel Sanctum, allowing your users to integrate your AI engine into their own apps.
Why Take This Course?
The market is currently flooded with "AI wrappers," but few developers actually know how to build the underlying infrastructure. By the end of this course, you will possess a rare skill set: the ability to deploy AI models, manage containerized environments, and build a commercial-grade billing system.
Whether you are a student looking to master the full-stack "puzzle" or a developer ready to launch your own AI startup, this course provides the code, the architecture, and the confidence to ship it.
Who this course is for
■ Laravel & PHP Developers: Those who want to move beyond CRUD apps and learn how to integrate heavy-duty AI models into their existing stack without the massive GPU overhead.
■ Aspiring AI Entrepreneurs: Indie hackers and students looking for a "blueprint" to launch a scalable, cost-effective SaaS without spending thousands on idle servers.
■ Full-Stack Students: Anyone familiar with Vue3 or InertiaJS who wants to see how a complex, 3-tier architecture (Web + Cloud Storage + Serverless GPU) works in the real world.
■ DevOps Curious Developers: Developers who want a practical, project-based introduction to Docker, containerization, and usage-based billing logic.
■ Python/AI Enthusiasts: Learners who have an AI model (like voice cloning) but don't know how to wrap it in a professional web interface with a payment gateway and API access.

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