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Duration 14 hours
Course Outline
Introduction to Generative AI in Front-End Development
- Defining the role of generative AI in software development.
- An overview of key tools, including ChatGPT, GitHub Copilot, and Codeium.
- Analyzing the advantages and constraints of AI in UI development.
Generating UIs via Prompting
- Designing effective prompts for HTML structures and components.
- Generating and adjusting CSS styles using AI assistance.
- Scaffolding interactive elements in JavaScript with AI support.
Layout Prototyping with Generative Tools
- Constructing landing pages and complex multi-section layouts.
- Crafting responsive design prompts for Flexbox and Grid systems.
- Previewing and testing designs in environments like CodePen.
Componentization and Reusability
- Creating reusable UI components such as buttons, cards, and forms.
- Building component libraries and design systems with AI assistance.
- Integrating AI into popular frameworks like React, Vue, and Tailwind.
AI-Assisted Code Review and Debugging
- Resolving layout bugs and accessibility issues using LLMs.
- Enhancing HTML, CSS, and JS code performance.
- Interpreting errors and generating corrective suggestions via AI prompts.
Collaborative Design and Content Generation
- Leveraging AI to create dummy content, copy, and placeholders.
- Collaborating with designers to co-create wireframes and styling.
- Translating AI-generated concepts into functional HTML templates.
Project: Building an AI-Scaffolded Web App
- Designing the UI based on specific business prompts.
- Developing components and interactions with AI assistance.
- Refining, testing, and presenting the final prototype.
Summary and Future Directions
Requirements
- Foundational knowledge of HTML, CSS, and JavaScript
- Familiarity with front-end frameworks or established design systems
- A keen interest in integrating 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
