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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.
- A survey of key tools, including ChatGPT, GitHub Copilot, and Codeium.
- Analyzing the advantages and constraints of AI in UI development.
Generating UIs via Prompts
- Formulating prompts to create HTML structures and components.
- Creating and adjusting CSS styles with AI assistance.
- Utilizing AI to scaffold interactive JavaScript elements.
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
- Producing reusable UI elements such as buttons, cards, and forms.
- Developing component libraries and design systems with AI support.
- Integrating AI into popular frameworks like React, Vue, and Tailwind.
AI-Supported Code Review and Debugging
- Resolving layout bugs and accessibility issues using LLMs.
- Improving the performance of HTML/CSS/JS code.
- Interpreting errors and proposing solutions through AI prompts.
Collaborative Design and Content Creation
- Generating placeholder content, copy, and dummy data with AI.
- Collaborating with designers to co-create wireframes and visual styles.
- Converting AI-generated concepts into functional HTML templates.
Capstone Project: Constructing an AI-Scaffolded Web App
- Designing the UI based on a specific business prompt.
- Building components and interactions with AI assistance.
- Refining, testing, and presenting the final prototype.
Recap and Future Steps
Requirements
- Foundational knowledge of HTML, CSS, and JavaScript.
- Experience with front-end frameworks or design systems.
- A keen interest in leveraging AI to enhance UI/UX workflows.
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
