Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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, including ChatGPT, GitHub Copilot, and Codeium.
- Examining the advantages and constraints of AI in UI development.
Generating UIs via Prompts
- Designing prompts to create HTML structures and components.
- Utilizing AI to generate and adjust CSS styling.
- Employing AI to scaffold interactive features in JavaScript.
Layout Prototyping with Generative Tools
- Constructing landing pages and complex multi-section layouts.
- Creating responsive design prompts using Flexbox and Grid.
- Previewing and testing designs in platforms like CodePen.
Componentization and Reusability
- Generating reusable UI elements such as buttons, cards, and forms.
- Building component libraries and design systems with AI assistance.
- Integrating AI within popular frameworks like React, Vue, and Tailwind.
AI-Enhanced Code Review and Debugging
- Resolving layout bugs and accessibility concerns using LLMs.
- Improving the performance of HTML, CSS, and JS code.
- Interpreting errors and proposing solutions through AI prompts.
Collaborative Design and Content Creation
- Using AI to create placeholder content, copy, and dummy data.
- Collaborating with designers to co-create wireframes and stylistic elements.
- Converting AI-generated concepts into functional HTML templates.
Project: Developing an AI-Generated Web Application
- Designing the UI based on specific business requirements.
- Constructing components and interactions with AI support.
- Refining, testing, and presenting the final prototype.
Wrap-Up 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 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
