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 Duration 14 hours

Course Outline

Introduction to Generative AI in Front-End

  • Defining generative AI within the context of software development.
  • Overview of key tools: ChatGPT, GitHub Copilot, Codeium, and others.
  • Benefits and constraints of AI in UI development.

Prompt-Driven UI Generation

  • Designing prompts for HTML structure and component creation.
  • Generating and adjusting CSS styles with AI assistance.
  • Leveraging AI to scaffold interactive JavaScript elements.

Layout Prototyping with Generative Tools

  • Constructing landing pages and multi-section layouts.
  • Responsive design prompts using Flexbox and Grid.
  • Previewing and testing in CodePen or equivalent platforms.

Componentization and Reusability

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

AI-Assisted Code Review and Debugging

  • Resolving layout bugs and accessibility issues using LLMs.
  • Enhancing HTML/CSS/JS code performance.
  • Interpreting errors and recommending fixes through AI prompts.

Collaborative Design and Content Creation

  • Employing AI to generate dummy content, copy, and placeholders.
  • Collaborating with designers to co-create wireframes and styles.
  • Converting AI-generated concepts into usable HTML templates.

Project: Developing an AI-Scaffolded Web App

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

Recap and Future Steps

Requirements

  • Foundational knowledge of HTML, CSS, and JavaScript.
  • Experience with front-end frameworks or design systems.
  • A desire to integrate AI into UI/UX processes to improve efficiency.

Target Audience

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

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