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Duration 14 hours
Course Outline
Introduction to Generative AI in Front-End
- Defining generative AI within software development contexts.
- Survey of key tools: ChatGPT, GitHub Copilot, Codeium, and others.
- Assessing the advantages and constraints of AI in UI development.
Generating UIs via Prompts
- Developing prompts for HTML structure and component creation.
- 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 responsive design prompts (covering Flexbox and Grid).
- Testing and previewing designs in CodePen or equivalent platforms.
Componentization and Reuse
- Producing reusable UI components such as buttons, cards, and forms.
- Building component libraries and design systems with AI support.
- Integrating AI within popular frameworks like React, Vue, and Tailwind.
AI-Enhanced Code Review and Debugging
- Resolving layout bugs and accessibility concerns using LLMs.
- Improving performance of HTML/CSS/JS code.
- Interpreting errors and proposing solutions via AI prompts.
Collaborative Design and Content Creation
- Using AI to create dummy content, copy, and placeholders.
- Collaborating with designers to co-create wireframes and styles.
- Transforming AI-generated concepts into functional HTML templates.
Capstone Project: Creating an AI-Scaffolded Web App
- Designing the UI based on specific business prompts.
- Developing components and interactions with AI aid.
- Refining, testing, and showcasing the final prototype.
Wrap-Up and Future Steps
Requirements
- Foundational knowledge of HTML, CSS, and JavaScript
- Experience with front-end frameworks or design systems
- A desire to apply AI in accelerating 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
