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Duration 14 hours
Course Outline
Introduction to Generative AI in Front-End
- The role of generative AI in software development
- Overview of key tools: ChatGPT, GitHub Copilot, Codeium, and others
- Advantages and constraints of AI in UI creation
Generating UIs via Prompting
- Formulating prompts for HTML structure and component creation
- Producing and adjusting CSS styles with AI assistance
- Leveraging AI to draft interactive JavaScript elements
Layout Prototyping with Generative Tools
- Constructing landing pages and multi-section layouts
- Crafting responsive design prompts (Flexbox, Grid)
- Previewing and testing using CodePen or equivalent platforms
Componentization and Reusability
- Creating reusable UI components (buttons, cards, forms)
- Establishing component libraries and design systems with AI support
- Applying AI within popular frameworks (React, Vue, Tailwind)
AI-Assisted Code Review and Debugging
- Resolving layout bugs and accessibility concerns using LLMs
- Improving HTML/CSS/JS code performance
- Interpreting errors and obtaining AI-suggested fixes
Collaborative Design and Content Generation
- Employing AI to produce dummy content, copy, and placeholders
- Collaborating with designers to co-create wireframes and styles
- Transforming AI-generated concepts into functional HTML templates
Project: Creating an AI-Scaffolded Web App
- Designing the UI based on business-driven prompts
- Developing components and interactions with AI aid
- Refining, testing, and showcasing the prototype
Conclusion and Future Directions
Requirements
- Foundational knowledge of HTML, CSS, and JavaScript
- Experience with front-end frameworks or design systems
- A keen interest in integrating AI to accelerate UI/UX processes
Target Audience
- Front-end developers
- UX engineers
- Web designers and creative technologists
Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
