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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.
- An overview of key tools such as ChatGPT, GitHub Copilot, and Codeium.
- Understanding the advantages and constraints of AI in UI development.
UI Generation via Prompting
- Developing prompts to create HTML structures and components.
- Generating and adjusting CSS styles with AI assistance.
- Leveraging AI to scaffold interactive elements in JavaScript.
Layout Prototyping with Generative Tools
- Constructing landing pages and complex multi-section layouts.
- Crafting responsive design prompts using Flexbox and Grid.
- Previewing and testing designs in platforms like CodePen.
Componentization and Reusability Strategies
- Generating reusable UI components, including buttons, cards, and forms.
- Building component libraries and design systems with AI support.
- Integrating AI into popular frameworks such as React, Vue, and Tailwind.
AI-Assisted Code Review and Debugging
- Resolving layout bugs and accessibility issues using LLMs.
- Enhancing the performance of HTML/CSS/JS code.
- Utilizing AI prompts to explain errors and propose solutions.
Collaborative Design and Content Creation
- Generating placeholder content, copy, and mockups with AI.
- Collaborating with designers to co-create wireframes and visual styles.
- Translating AI-generated concepts into functional HTML templates.
Capstone Project: Building an AI-Scaffolded Web Application
- Designing the UI based on specific business requirements.
- Constructing components and interactions with AI assistance.
- Refining, testing, and presenting the final prototype.
Course Summary and Future Directions
Requirements
- A fundamental understanding 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
