Generative AI for Front-End Development

• 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

Generative AI for Front-End Development explores how large language models and AI-powered tools can accelerate front-end development through prompt-based code generation, layout prototyping, and UI optimization.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level front-end professionals who wish to use generative AI to build and iterate user interfaces more quickly and creatively.

By the end of this training, participants will be able to:

• Use AI tools to generate HTML, CSS, and JavaScript from natural language prompts.
• Create and refine UI components and layouts using generative models.
• Prototype responsive web designs rapidly without writing all code from scratch.
• Optimize front-end code using AI suggestions and automation workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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