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Vibe Coding: Build Real Apps Without Learning to Code

Learn vibe coding to build real web apps using AI tools like Lovable and Claude Code. Master prompts, debugging, architecture, APIs, and deployment while creating a production-ready app end-to-end.

10 Lessons
1h
Updated this week
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • A clear understanding of what vibe coding is and how directing AI differs from traditional programming
  • Hands-on experience with two complementary tools: Lovable for rapid browser-based prototyping and Claude Code for terminal-based project work
  • Strong skills in specification and prompt craft: writing product briefs, describing outcomes precisely, and protecting existing features during iteration
  • The ability to debug AI output critically: reading error messages, catching silent failures, and identifying whether problems lie in the frontend, backend, or database
  • Working knowledge of the three-layer web architecture (frontend, backend, database) and how to identify which layer is broken
  • Practical deployment skills: connecting external APIs like Stripe, managing environment variables, and deploying production apps on Vercel
  • Database and authentication implementation: setting up Supabase for data persistence, user accounts, and row-level security
  • Understanding of LLM mechanics: how tokens, context windows, model tiers, and temperature affect AI behavior and output quality
Why choose this course?

Two Tools, One Complete Workflow

Vibe coding isn’t about one perfect tool. It’s about knowing when to prototype fast and when you need real control. By the end, you’ll know exactly which tool fits each phase of your build.

Specification First, Code Second

Most people jump straight to prompting and wonder why the AI builds the wrong thing. You’ll learn to write product briefs that answer who, what, and why before touching any tool, then translate those briefs into precise prompts.

From Prototype to Production

You’ll build one complete app that grows more real with every lesson. Start with a static homepage, add a database and user accounts, integrate Stripe payments, and deploy to a live URL that anyone can visit.

Walk Away with an App and a Repeatable Process

The course ends with a working product on the internet, but more importantly, a process you can apply to anything:

Learning Roadmap

10 Lessons

1.

Thinking Before Building

Thinking Before Building

Master the art of Vibe Coding to create apps through clear communication and AI collaboration.

2.

From Prototype to Working Product

From Prototype to Working Product

Master app development using AI tools, effective prompts, and debugging techniques.

3.

Connecting to the Real World

Connecting to the Real World

3 Lessons

3 Lessons

Master effective AI interactions, integrate real data, and connect apps with APIs.
Certificate of Completion
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Author NameVibe Coding: Build RealApps Without Learning toCode
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
ABOUT THIS COURSE
The course starts with core concepts and shows how to use AI tools to build web applications without writing code. It covers the three-layer architecture of web applications (frontend, backend, database), writing product briefs that reduce the risk of building incorrect or misaligned features, and developing prompt design skills, including describing outcomes precisely, controlling scope, and preserving working features during iteration. The course uses two tools: Lovable for browser-based prototyping and Claude Code for terminal-based work on project files. You’ll build a complete booking application called PawPals across all ten lessons. You will learn to debug AI output critically by reading error messages, catching silent failures, and identifying which layer broke. The course explains how large language models actually work, including tokens, context windows, model tiers, and why AI sometimes forgets or hallucinates, so you understand the system's predictable failure modes. You will connect your app to Supabase for database and authentication, integrate Stripe for payments, and deploy to Vercel with a real public URL. Upon completion, you will have a production app with user accounts, data persistence, and payment processing, plus a repeatable process: specify clearly, iterate deliberately, debug systematically, and know your limits. The course ends with an honest look at where vibe coding excels and where it breaks down, so you recognize when to build yourself and when to bring in professional engineers.

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