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Course Outline
Introduction to Generative AI for Front-End
- What is generative AI in software development?
- Overview of tools: ChatGPT, GitHub Copilot, Codeium, etc.
- Benefits and limitations of AI in UI development
Prompt-Based UI Generation
- Crafting prompts for HTML structure and components
- Generating and modifying CSS styles with AI
- Using AI to scaffold interactive elements in JavaScript
Prototyping Layouts with Generative Tools
- Building landing pages and multi-section layouts
- Responsive design prompts (Flexbox, Grid)
- Previewing and testing in CodePen or similar tools
Componentization and Reusability
- Generating reusable UI components (buttons, cards, forms)
- Creating component libraries and design systems with AI help
- Using AI in popular frameworks (React, Vue, Tailwind)
AI-Assisted Code Review and Debugging
- Fixing layout bugs and accessibility issues with LLMs
- Optimizing HTML/CSS/JS code performance
- Explaining errors and suggesting fixes via AI prompts
Collaborative Design and Content Generation
- Using AI to generate dummy content, copy, and placeholders
- Working with designers to co-create wireframes and styles
- Exporting AI-generated ideas into usable HTML templates
Project: Build an AI-Scaffolded Web App
- Designing UI based on business prompt
- Building components and interactions using AI
- Polishing, testing, and presenting the prototype
Summary and Next Steps
Requirements
- Basic understanding of HTML, CSS, and JavaScript
- Familiarity with front-end frameworks or design systems
- Interest in applying AI to speed up UI/UX workflows
Audience
- Front-end developers
- UX engineers
- Web designers and creative technologists
14 Hours
