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Duration 14 hours
Course Outline
Introduction to Generative AI in Front-End Development
- Defining the role of generative AI in software development.
- Overview of key tools: ChatGPT, GitHub Copilot, Codeium, and others.
- Analyzing the advantages and constraints of AI in UI creation.
Generating UIs via Prompt Engineering
- Developing effective prompts for HTML structure and component creation.
- Generating and iterating on CSS styles using AI capabilities.
- Leveraging AI to scaffold interactive JavaScript elements.
Layout Prototyping with Generative Tools
- Constructing landing pages and complex multi-section layouts.
- Implementing responsive design prompts (Flexbox, Grid).
- Testing and previewing designs in CodePen or equivalent platforms.
Componentization and Code Reusability
- Creating reusable UI elements such as buttons, cards, and forms.
- Building component libraries and design systems with AI support.
- Integrating AI workflows within popular frameworks (React, Vue, Tailwind).
AI-Enhanced Code Review and Debugging
- Resolving layout bugs and accessibility challenges using LLMs.
- Improving HTML/CSS/JS code performance and efficiency.
- Diagnosing errors and implementing fixes through AI-assisted prompts.
Collaborative Design and Content Creation
- Generating placeholder content, copy, and assets using AI.
- Collaborating with designers to co-develop wireframes and visual styles.
- Transforming AI-generated concepts into functional HTML templates.
Capstone Project: Developing an AI-Scaffolded Web Application
- Designing the UI structure based on specific business prompts.
- Constructing components and interactions with AI assistance.
- Refining, testing, and presenting the final prototype.
Course Summary and Future Directions
Requirements
- Foundational knowledge of HTML, CSS, and JavaScript.
- Familiarity with front-end frameworks or established design systems.
- A strong interest in utilizing AI to streamline 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
