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Duration 14 hours
Course Outline
Generative AI Fundamentals for Front-End
- Defining generative AI within software development contexts
- An introduction to key tools such as ChatGPT, GitHub Copilot, and Codeium
- Examining the advantages and constraints of AI in UI creation
Generating UIs via Prompts
- Formulating prompts to structure HTML and components
- Creating and adjusting CSS styles with AI assistance
- Utilizing AI to build interactive JavaScript elements
Layout Prototyping with Generative Tools
- Constructing landing pages and complex multi-section layouts
- Crafting responsive design prompts (including Flexbox and Grid)
- Testing and previewing designs in environments like CodePen
Componentization and Reuse
- Generating reusable UI assets such as buttons, cards, and forms
- Building component libraries and design systems with AI support
- Integrating AI into major frameworks like React, Vue, and Tailwind
AI-Driven Code Review and Debugging
- Resolving layout errors and accessibility concerns using LLMs
- Improving the performance of HTML, CSS, and JS code
- Interpreting errors and proposing solutions through AI prompts
Collaborative Design and Content Creation
- Using AI to produce placeholder content, copy, and mockups
- Co-creating wireframes and styles in collaboration with designers
- Converting AI-generated concepts into functional HTML templates
Capstone Project: Developing an AI-Scaffolded Web App
- Designing the UI based on specific business requirements
- Implementing components and interactions with AI assistance
- Refining, testing, and showcasing the final prototype
Conclusion and Future Directions
Requirements
- Fundamental knowledge of HTML, CSS, and JavaScript
- Exposure to front-end frameworks or design systems
- A desire to apply 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
