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Prompt to Product: The Complete Lovable + n8n Course
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Prompt to Product: The Complete Lovable + n8n Course

Prompt to Product: The Complete Lovable + n8n Course
Created byKevin Musungu
Last updated 8/2026
English

What you'll learn

  • How to write clear, structured AI prompts that consistently produce professional, on-brand design output
  • The anatomy of a well-structured automation workflow, and how to plan one before building it
  • How to use conditional logic and filtering to route data intelligently within a workflow
  • How to deploy a web product to Vercel, from local build to public URL
  • How to build, configure, and test your own AI agent from scratch
  • How to deploy an AI agent into a live production environment
  • How to design and build a conversion-ready landing page using Lovable
  • How to capture, receive, and store incoming data using webhooks in n8n
  • How to connect a Lovable-built frontend to a live n8n backend
  • The core architecture of an AI agent workflow, and how it differs from a standard automation
  • How to link an AI agent directly into a frontend so it can respond to real user input
  • How to take a project end-to-end — from a single prompt to a fully deployed, AI-powered product — without writing code

Course content

4 sections12 lectures1h 32m total length
  • Course Overview5:32

Requirements

  • No coding experience required — this course is entirely no-code/low-code
  • A computer with a stable internet connection
  • A free or paid account with Lovable (for building the landing page)
  • A free n8n account, either self-hosted or via n8n Cloud (for building workflows and AI agents)
  • A free Vercel account (for deployment)
  • An Anthropic or OpenAI API key (for powering the AI agent — a free-tier or low-cost option is sufficient to follow along)
  • Willingness to follow along hands-on — this course is built around building a real, working product step by step, not just watching

Description

Turn a single well-crafted prompt into a fully deployed, AI-powered product — no coding background required.

This masterclass walks you through the entire journey from idea to launch, using the exact stack real AI agencies use to ship client work fast: Lovable for building stunning, conversion-ready landing pages with AI, and n8n for the automation and AI agent layer that makes your product actually do something.

You'll start by mastering the anatomy of a great AI prompt and using it to design a polished landing page. From there, you'll go under the hood — learning how to build real workflows in n8n, capture and store data from webhooks, apply conditional logic, and connect your Lovable frontend directly to a live backend. By the end, you'll be designing, testing, and deploying your own AI agents into production, fully wired into the product you built from scratch.

Every lesson is hands-on and project-based, so instead of just watching, you'll be building alongside me in real time. You'll finish with a genuine portfolio piece — a live, working product you can show to clients, investors, or your own audience as proof of what you can build.

Whether you're a founder validating an idea, a non-technical visionary tired of waiting on developers, or someone looking to offer AI-powered builds as a service, this course gives you a repeatable, end-to-end process — from prompt, to workflow, to live product.

Who this course is for:

  • Founders and entrepreneurs who want to validate or launch a product idea quickly without hiring a development team
  • Non-technical visionaries who have a clear idea but have been blocked by not knowing how to build it
  • Freelancers and consultants looking to add AI product-building and automation as a service they can offer clients
  • Small business owners who want to automate parts of their operations or customer support using AI
  • Anyone curious about no-code/low-code AI tools who wants a structured, hands-on path rather than scattered tutorials
  • Aspiring AI automation agency owners who want a repeatable process they can use to deliver client work