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Duration 14 hours
Course Outline
Fundamentals of Generative AI in Front-End Development
- Understanding generative AI within the software development context
- Survey of key tools: ChatGPT, GitHub Copilot, Codeium, and others
- Analyzing the advantages and constraints of AI in interface development
Generating UIs via Prompt Engineering
- Formulating prompts to structure HTML and define components
- Synthesizing and adjusting CSS styling with AI assistance
- Utilizing AI to scaffold interactive JavaScript features
Layout Prototyping with Generative Solutions
- Constructing landing pages and multi-section page structures
- Crafting responsive design prompts (Flexbox, Grid)
- Previewing and validating designs in environments like CodePen
Component Design and Reusability
- Creating reusable UI assets (buttons, cards, forms)
- Developing component libraries and design systems with AI support
- Applying AI within major frameworks (React, Vue, Tailwind)
AI-Enhanced Code Review and Debugging
- Resolving layout defects and accessibility challenges using LLMs
- Improving HTML/CSS/JS code performance metrics
- Diagnosing errors and proposing solutions through AI prompts
Collaborative Design and Content Creation
- Generating placeholder text, copy, and dummy content with AI
- Collaborating with designers to co-create wireframes and styles
- Converting AI-generated concepts into functional HTML templates
Capstone Project: Developing an AI-Assisted Web Application
- Designing the UI based on specific business prompts
- Implementing components and interactions with AI assistance
- Refining, testing, and showcasing the final prototype
Course Wrap-Up and Future Directions
Requirements
- Foundational knowledge of HTML, CSS, and JavaScript
- Exposure to front-end frameworks or design systems
- A desire to integrate AI into UI/UX processes to boost efficiency
Target Audience
- Front-end developers
- UX engineers
- Web designers and creative technologists
Testimonials (2)
The session was highly interactive and applicable to the business.
Jorge Boscan - Chevron Global Technology Services Company
Course - Advanced GitHub Copilot & AI for Projects and Infrastructure
Machine Translated
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
