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Duration 14 hours
Course Outline
Introduction to Generative AI in Front-End Development
- Defining generative AI within the context of software development
- A survey of key tools such as ChatGPT, GitHub Copilot, and Codeium
- Evaluating the advantages and constraints of AI in UI development
UI Generation via Prompts
- Formulating prompts to structure HTML and build components
- Applying AI to generate and adjust CSS styling
- Leveraging AI to scaffold interactive JavaScript elements
Layout Prototyping with Generative Tools
- Constructing landing pages and multi-section layouts
- Implementing responsive design principles (Flexbox, Grid) using prompts
- Previewing and testing designs in environments like CodePen
Componentization and Reusability
- Creating reusable UI elements such as buttons, cards, and forms
- Developing component libraries and design systems with AI assistance
- Integrating AI workflows into popular frameworks like React, Vue, and Tailwind
AI-Assisted Code Review and Debugging
- Resolving layout issues and improving accessibility using LLMs
- Enhancing the performance of HTML/CSS/JS code
- Diagnosing errors and generating fix suggestions through AI prompts
Collaborative Design and Content Creation
- Generating placeholder content, copy, and dummy data with AI
- Collaborating with designers to co-create wireframes and visual styles
- Converting AI-generated concepts into functional HTML templates
Capstone Project: Building an AI-Scaffolded Web App
- Designing the UI based on specific business prompts
- Developing components and interactions with the aid of AI
- Refining, testing, and presenting the final prototype
Conclusion and Path Forward
Requirements
- Foundational knowledge of HTML, CSS, and JavaScript
- Familiarity with front-end frameworks or established 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
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
