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Vibe Coding: Build And Deploy An Ai Saas With Laravel
Published 7/2025
Created by Andrew Moroz
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 13 Lectures ( 6h 43m ) | Size: 6.1 GB
Create a full-stack AI-powered SaaS app using Laravel, Vue, Inertia, OpenAI, Docker, and Render- step by step.
What you'll learn
Design and build full-stack SaaS applications using Laravel, Vue.js (PrimeVue), and Inertia.js with a clean, scalable architecture.
Integrate AI-powered features using OpenAI APIs to automate tasks like translation and content generation within Laravel apps.
Develop frontend and backend features using Test-Driven Development (TDD) to ensure code reliability, maintainability, and performance.
Create rich, interactive user interfaces with PrimeVue components that provide seamless, modern user experiences.
Automate the deployment process using GitHub Actions and deploy Laravel applications to production on platforms like DigitalOcean.
Troubleshoot and resolve common challenges in AI integration, frontend/backend communication, and CI/CD workflows.
Organize and manage reusable AI prompts effectively within GitHub repositories to support scalable AI-driven development.
Requirements
Basic to intermediate experience with Laravel
Familiarity with Vue.js
Some experience with Git and GitHub
Understanding of basic web development tools
A local development environment set up
Curiosity about AI
Description
Want to take your Laravel SaaS app from local development to full deployment? In this course, you'll learn how to build and deploy a real-world Laravel + Vue application with Docker and Render - and integrate modern tools like PostgreSQL, Tailwind CSS, Pinia, and AI-powered features using OpenAI.Whether you're a Laravel developer, a Vue enthusiast, or someone looking to build production-ready SaaS apps with AI capabilities, this course gives you the practical skills and project-based approach to confidently deploy to the cloud.What you'll learn:How to prepare your Laravel + Vue app for deployment with DockerSetting up PostgreSQL databases in RenderBuilding and managing your app infrastructure in RenderCreating a scalable .env.render configuration and debugging logs in real-timeIntegrating frontend builds (npm run build) as part of deploymentUsing GitHub and GitHub Actions to automate your CI/CD pipelineOptimizing Laravel Sail for container deploymentSecurely deploying AI-powered features using OpenAI and GptSDKWhy take this course?Most Laravel deployment tutorials stop at pushing code. This course goes beyond - guiding you through Docker configuration, Render services, PostgreSQL setup, and secure handling of environment variables.You'll also learn how to build the frontend, configure logs, monitor the deployment process, and fully test your application through automation.By the end of this course, you'll not only have deployed a fully working SaaS app - you'll also understand the tools and decisions behind a scalable deployment strategy.Tech stack used:Laravel 12, Vue 3, Inertia.jsPrimeVue, Tailwind CSS, PiniaPostgreSQL, Docker, GitHub ActionsRender, OpenAI (GptSDK)TDD, clean architecture, CI/CDThis course is for you if:You've built a Laravel/Vue project and want to deploy it professionallyYou're a Laravel developer who wants to modernize their DevOps skillsYou want to learn how to securely deploy AI-powered applicationsYou want to understand containerized deployment workflows using DockerYou're building a language learning SaaS, or similar product, and want to deploy with confidenceReal-world focusedWe won't just talk theory. You'll deploy a production-ready application to Render, step by step - using GitHub for version control and GitHub Actions to automate builds and tests.
Who this course is for
A Laravel developer looking to expand into AI-powered web applications
A full-stack developer curious about how to combine backend logic with modern Vue UI tools
Someone who wants to build and deploy a SaaS app from start to finish using best practices
Interested in learning how generative AI works and how to use tools like OpenAI in real projects
A developer who loves building useful tools, and wants to automate workflows using GitHub Actions and deploy apps to DigitalOcean
