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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 engineering
- Surveying key tools: ChatGPT, GitHub Copilot, Codeium, and others
- Assessing the advantages and constraints of AI in UI creation
UI Generation via Prompt Engineering
- Formulating prompts for HTML structure and component creation
- Generating and adjusting CSS styling through AI
- Employing AI to scaffold interactive JavaScript elements
Layout Prototyping with Generative Tools
- Constructing landing pages and multi-part layouts
- Developing responsive design prompts using Flexbox and Grid
- Reviewing and testing outputs in CodePen or equivalent platforms
Componentization and Reusability
- Generating repeatable UI components such as buttons, cards, and forms
- Establishing component libraries and design systems with AI assistance
- Integrating AI within popular frameworks like React, Vue, and Tailwind
AI-Supported Code Review and Debugging
- Resolving layout defects and accessibility concerns using LLMs
- Enhancing the performance of HTML, CSS, and JS code
- Interpreting errors and proposing corrections through AI prompts
Collaborative Design and Content Creation
- Using AI to produce placeholder content, copy, and assets
- Collaborating with designers to co-develop wireframes and styles
- Converting AI-generated concepts into functional HTML templates
Capstone Project: Developing an AI-Assisted Web Application
- Designing the UI in response to specific business prompts
- Constructing components and interactions with AI support
- Refining, testing, and showcasing the final prototype
Recap and Future Directions
Requirements
- Fundamental knowledge of HTML, CSS, and JavaScript
- Basic familiarity with front-end frameworks or design systems
- A keen interest in using AI to expedite 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
