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Unclaimed ProfileThis comprehensive, hands-on course is designed for web developers, software engineers, and entrepreneurs who want to bridge the gap between full-stack web development and cutting-edge artificial intelligence. Led by expert instructor Umair Ahmed Younas, the curriculum guides you through the process of architecting and deploying a highly scalable AI-powered Software-as-a-Service (SaaS) application from scratch. You will learn how to dockerize state-of-the-art AI models and run them cost-effectively on RunPod serverless GPU infrastructure. By combining the robust backend capabilities of Laravel with the modern, reactive frontend experience of Vue 3 and Inertia.js, you will construct a secure, production-ready system. Crucially, the course dives deep into the monetization and operations side, covering usage-based billing using Polar, credit balance deduction systems tracked down to the millisecond of GPU execution time, and secure developer APIs powered by Laravel Sanctum. Whether you are a Laravel developer looking to pivot into AI or a SaaS founder looking to optimize GPU hosting costs, this course provides the exact architectural blueprints needed to launch your next AI application successfully.
About the creator
Umair Ahmed Younas
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Umair Ahmed Younas is a seasoned full-stack software engineer and educator dedicated to helping developers bridge the gap between writing code and launching profitable SaaS products. With deep expertise across the modern PHP and JavaScript ecosystems, Umair specializes in building scalable, production-ready web applications using Laravel, Vue3, Docker, and serverless architectures. His teaching philosophy centers on highly practical, project-based learning. Instead of teaching theoretical concepts in a vacuum, Umair guides his students through the entire lifecycle of application development—from initial system design and containerization with Docker to deploying serverless infrastructure and integrating modern monetization tools like Polar pay. Through his…Show more
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Program Overview
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Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Containerize custom AI machine learning models using Docker and deploy them seamlessly on RunPod serverless GPU infrastructure to minimize operating costs.
- Construct a responsive and modern three-tier SaaS application architecture combining a Laravel backend with Inertia.js and Vue 3.
- Implement reliable webhook processing systems to handle real-time callbacks from GPU workers and update user task statuses asynchronously.
- Design and program a consumption-based credit system integrated with Polar payments for precise billing based on GPU execution milliseconds.
- Build and secure a robust public developer API and playground environment utilizing Laravel Sanctum for API token management.
- Set up secure cloud storage workflows with Google Cloud Storage to handle, store, and serve large AI-generated media files safely.
Best For
- Laravel developers looking to transition into building AI-driven SaaS products.
- Entrepreneurs wanting to build scalable, production-ready AI applications with cost-effective serverless GPU hosting.
- Software engineers who need to master high-precision, consumption-based billing systems for SaaS.
- Developers interested in integrating modern frontends like Vue 3 and Inertia.js with robust backend AI workflows.
Not For
- Complete programming beginners who have not yet mastered the basics of PHP or Laravel framework.
- Data scientists focused exclusively on model training rather than building production application infrastructure.
- Developers looking for a course on basic web design or general full-stack development without AI integration.
- Those looking for a no-code or low-code solution to building AI applications.
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