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Advanced Vibe Coding: From Prompt Framework to Deployed Web App

A focused, practical learning path for experienced learners who want to direct AI through a four-part prompt framework, rapidly shape a web app from an idea, and deploy a reliable first version. You will practise making high-level product decisions, constraining AI-generated code, iterating through evidence, and handli

60 min4 modulesBeginner friendly
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Free to take. This course does not use any Learning Credits.

What you’ll be able to do

By the end, you will be able to turn a vibe-driven app idea into a clear build brief, use a four-part prompt framework to generate and refine a working web app, diagnose AI-generated implementation problems, and deploy a usable version with sensible checks for security, accessibility and maintain‍‍‍

Course outline

A clear route from first principles to practical confidence

  1. 01

    1. Frame the App and the AI Collaboration

    • Define the app’s user, core outcome, smallest useful feature set and success signal.
    • Apply the four-part prompt framework: context, task, constraints and validation criteria.
    • Create a concise project brief that preserves your vibe while giving the AI enough structure to act.
    • Choose a rapid-build stack and define boundaries for AI-generated code, dependencies and data handling.
  2. 02

    2. Generate the First Functional Slice

    • Prompt for the app shell, primary user journey, data shape and interaction states as one testable slice.
    • Direct AI to make deliberate decisions about components, state, forms, errors and responsive behaviour.
    • Review generated code by tracing the user journey and checking whether implementation matches the brief.
    • Use targeted follow-up prompts to fix behaviour without causing unnecessary rewrites.
  3. 03

    3. Iterate Through Evidence and Vibe

    • Give precise visual and interaction feedback using references, contrasts and priority levels.
    • Use browser testing, console output and acceptance checks as evidence for debugging prompts.
    • Ask AI to explain trade-offs, identify risks and propose the smallest safe change.
    • Refactor AI output when it becomes repetitive, brittle or difficult to extend, while preserving working behaviour.
  4. 04

    4. Validate, Deploy and Establish a Repeatable Workflow

    • Run a compact release check covering core flows, accessibility basics, responsive layout, secrets and failure states.
    • Prepare production configuration, build settings and environment variables without exposing credentials.
    • Deploy the app, verify the live version and use deployment feedback to guide final AI-assisted fixes.
    • Capture a reusable prompt template, decision log and prioritised backlog for future vibe-coding projects.