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Duration 14 hours
Course Outline
Introduction to Generative AI in Front-End
- Defining generative AI within the context of software development.
- Overview of key tools: ChatGPT, GitHub Copilot, Codeium, and others.
- Benefits and constraints of AI in UI development.
Prompt-Driven UI Generation
- Designing prompts for HTML structure and component creation.
- Generating and adjusting CSS styles with AI assistance.
- Leveraging AI to scaffold interactive JavaScript elements.
Layout Prototyping with Generative Tools
- Constructing landing pages and multi-section layouts.
- Responsive design prompts using Flexbox and Grid.
- Previewing and testing in CodePen or equivalent platforms.
Componentization and Reusability
- Generating reusable UI components such as buttons, cards, and forms.
- Building component libraries and design systems with AI support.
- Integrating AI with popular frameworks like React, Vue, and Tailwind.
AI-Assisted Code Review and Debugging
- Resolving layout bugs and accessibility issues using LLMs.
- Enhancing HTML/CSS/JS code performance.
- Interpreting errors and recommending fixes through AI prompts.
Collaborative Design and Content Creation
- Employing AI to generate dummy content, copy, and placeholders.
- Collaborating with designers to co-create wireframes and styles.
- Converting AI-generated concepts into usable HTML templates.
Project: Developing an AI-Scaffolded Web App
- Designing UI based on business prompts.
- Building components and interactions with AI assistance.
- Refining, testing, and presenting the final prototype.
Recap and Future Steps
Requirements
- Foundational knowledge of HTML, CSS, and JavaScript.
- Experience with front-end frameworks or design systems.
- A desire to integrate AI into UI/UX processes to improve efficiency.
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