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Duration 14 hours
Course Outline
Introduction to Generative AI in Front-End Development
- Defining generative AI’s role in software development.
- An overview of key tools such as ChatGPT, GitHub Copilot, and Codeium.
- Analyzing the advantages and constraints of AI in UI development.
UI Generation via Prompting
- Structuring prompts to generate HTML layouts and components.
- Creating and adjusting CSS styles with AI assistance.
- Scaffolding interactive JavaScript elements using AI.
Layout Prototyping with Generative Tools
- Constructing landing pages and complex multi-section layouts.
- Crafting prompts for responsive design using Flexbox and Grid.
- Testing and previewing designs in environments like CodePen.
Componentization and Reusability
- Generating reusable UI elements such as buttons, cards, and forms.
- Building component libraries and design systems with AI support.
- Applying AI within popular frameworks like React, Vue, and Tailwind.
AI-Assisted Code Review and Debugging
- Resolving layout issues and accessibility concerns using LLMs.
- Optimizing the performance of HTML, CSS, and JS code.
- Interpreting errors and implementing fixes through AI prompts.
Collaborative Design and Content Creation
- Leveraging AI to create placeholder content, copy, and dummy data.
- Collaborating with designers to co-create wireframes and visual styles.
- Translating AI-generated concepts into functional HTML templates.
Capstone Project: Developing an AI-Scaffolded Web Application
- Designing the UI based on specific business prompts.
- Constructing components and interactions with AI assistance.
- Refining, testing, and presenting the final prototype.
Conclusion 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
