Overview

Google, IBM & Meta Certificates – 40% Off

One plan covers every Professional Certificate on Coursera.

AI can generate code faster than ever, but most of it never makes it to production. This Vibe Coding Foundation Course closes that gap by taking you from your first Product Requirements Document to a fully production-grade SaaS app, using a proven framework. The course starts with the core fundamentals, helping you understand what PRD is, why AI-generated output falls apart without one, and how to set up a development environment using GitHub, Supabase, & Vercel. Then you’ll build authentication, database integration, dashboards, and a complete invoicing system while learning to sync your work across Lovable, Claude, Cursor, & v0 through GitHub. Finally, you'll learn how to recover from context window collapse, secure your application with a 12-point security audit, deploy it to Vercel, troubleshoot deployment errors, and successfully launch a live SaaS client portal. The only course that teaches named, reusable framework, multi-tool orchestration, and context recovery for developing real-world AI applications, making it ideal for freelancers, developers and product managers. By the end of the Vibe coding fundamentals course, you will be able to independently plan, build, and deploy production-ready AI applications. Enroll now and build AI products that actually ship.

Syllabus

The Architect Mindset — Think Before You Prompt

Learn the structured AI development approach, tool selection strategies, and project foundations needed to build applications effectively with AI.

Writing Your Product Requirements Document — The Blueprint AI Needs

Create a professional PRD by defining project goals, requirements, architecture, security, and success criteria for AI-assisted development.

From PRD to Your First AI Instruction — Activating the Blueprint

Learn how to transform product requirements into clear AI instructions and create effective prompts for better development outcomes.

Launching the Build — First Prompt, GitHub Sync and Local Dev Setup

Start building your application by creating your first AI-generated output, connecting GitHub, and setting up your local development environment.

Building Core Features — Database Integration, Authentication and Client Management

Build essential application features including database integration, authentication, dashboards, and secure client management workflows.

AI Session Management — Correcting Bugs, Recovering Context and Optimizing Credits

Learn how to effectively work with AI during development by correcting bugs, writing structured instructions, recovering lost context, and optimizing AI usage for better productivity.

Building Production Features — Invoice System, UI Upgrades and Tool Decision-Making

Build production-ready application features, improve UI design, debug functionality issues, and learn how to select the right AI tools for different development requirements.

Shipping v1.0 — Microcopy, Mid-Build Validation and Context Recovery

Enhance your application quality through better microcopy, systematic validation, AI context management, and preparing your product for a successful version 1.0 release.

Deployment Preparation — Security Hardening, Structured vs Exploratory Builds and Pre-Launch Validation

Prepare your application for production by applying security best practices, understanding structured development approaches, and performing comprehensive pre-launch validation.

Deploying to Vercel, Fixing Build Errors and Shipping Your SaaS Live

Learn how to deploy your SaaS application, connect deployment workflows, troubleshoot build errors, test your live application, and complete the journey from development to production.