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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.
- A survey of key tools, including ChatGPT, GitHub Copilot, and Codeium.
- Analyzing the advantages and constraints of AI in UI development.
Prompt-Driven UI Generation
- Developing prompts for HTML structure and component creation.
- Utilizing AI to generate and adjust CSS styles.
- Scaffolding interactive JavaScript elements with AI assistance.
Layout Prototyping with Generative Tools
- Constructing landing pages and multi-section layouts.
- Crafting prompts for responsive design using Flexbox and Grid.
- Previewing and testing designs in environments like CodePen.
Componentization and Reusability
- Creating reusable UI components such as buttons, cards, and forms.
- Establishing component libraries and design systems with AI support.
- Integrating AI into popular frameworks like React, Vue, and Tailwind.
AI-Supported Code Review and Debugging
- Resolving layout bugs and accessibility concerns using LLMs.
- Improving HTML/CSS/JS code performance.
- Diagnosing errors and proposing solutions through AI prompts.
Collaborative Design and Content Creation
- Generating dummy content, copy, and placeholders with AI.
- Collaborating with designers to co-create wireframes and styles.
- Translating AI-generated concepts into functional HTML templates.
Capstone Project: Building an AI-Scaffolded Web App
- 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 Steps
Requirements
- A foundational understanding of HTML, CSS, and JavaScript.
- Experience with front-end frameworks or design systems.
- A keen interest in utilizing 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