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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
- Overview of key tools: ChatGPT, GitHub Copilot, Codeium, and others
- Understanding the advantages and constraints of AI in UI development
Prompt-Based UI Generation
- Developing effective prompts for HTML structure and components
- Utilizing AI to scaffold interactive elements in JavaScript
Prototyping Layouts with Generative Tools
- Constructing landing pages and multi-section layouts
- Crafting responsive design prompts (Flexbox, Grid)
- Previewing and testing designs in CodePen or similar platforms
Componentization and Reusability
- Generating reusable UI components such as buttons, cards, and forms
- Building component libraries and design systems with AI assistance
- Integrating AI into popular frameworks (React, Vue, Tailwind)
AI-Assisted Code Review and Debugging
- Resolving layout bugs and accessibility issues using LLMs
- Improving the performance of HTML/CSS/JS code
- Interpreting errors and proposing fixes via AI prompts
Collaborative Design and Content Generation
- Using AI to generate placeholder text, copy, and dummy content
- Collaborating with designers to co-create wireframes and styles
- Translating AI-generated concepts into functional HTML templates
Project: Building an AI-Scaffolded Web Application
- Designing the UI based on business requirements
- Developing components and interactions with AI support
- Refining, testing, and presenting the final prototype
Conclusion and Future Directions
Requirements
- A foundational understanding of HTML, CSS, and JavaScript
- A keen interest in leveraging AI to accelerate 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
