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 Duration 14 hours

Course Outline

Introduction to Generative AI in Front-End Development

  • Defining the role of generative AI in software development.
  • A survey of key tools, including ChatGPT, GitHub Copilot, and Codeium.
  • Analyzing the advantages and constraints of AI in UI development.

Prompt-Driven UI Generation

  • Developing prompts for HTML structure and component creation.
  • Utilizing AI to generate and adjust CSS styles.
  • Scaffolding interactive JavaScript elements with AI assistance.

Layout Prototyping with Generative Tools

  • Constructing landing pages and multi-section layouts.
  • Crafting prompts for responsive design using Flexbox and Grid.
  • Previewing and testing designs in environments like CodePen.

Componentization and Reusability

  • Creating reusable UI components such as buttons, cards, and forms.
  • Establishing component libraries and design systems with AI support.
  • Integrating AI into popular frameworks like React, Vue, and Tailwind.

AI-Supported Code Review and Debugging

  • Resolving layout bugs and accessibility concerns using LLMs.
  • Improving HTML/CSS/JS code performance.
  • Diagnosing errors and proposing solutions through AI prompts.

Collaborative Design and Content Creation

  • Generating dummy content, copy, and placeholders with AI.
  • Collaborating with designers to co-create wireframes and styles.
  • Translating AI-generated concepts into functional HTML templates.

Capstone Project: Building an AI-Scaffolded Web App

  • Designing the UI based on specific business prompts.
  • Constructing components and interactions with AI assistance.
  • Refining, testing, and presenting the final prototype.

Conclusion and Future Steps

Requirements

  • A foundational understanding of HTML, CSS, and JavaScript.
  • Experience with front-end frameworks or design systems.
  • A keen interest in utilizing AI to enhance UI/UX workflows.

Target Audience

  • Front-end developers.
  • UX engineers.
  • Web designers and creative technologists.

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