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Duration 14 hours
Course Outline
Overview of Generative AI in Front-End
- Defining generative AI within the software development context.
- Surveying key tools such as ChatGPT, GitHub Copilot, and Codeium.
- Evaluating the advantages and constraints of AI in UI development.
Prompt-Driven UI Creation
- Structuring prompts to generate HTML architecture and components.
- Producing and adjusting CSS styles via AI assistance.
- Scaffolding interactive JavaScript features using AI.
Layout Prototyping with Generative Tools
- Constructing landing pages and multi-section page structures.
- Crafting responsive design prompts utilizing Flexbox and Grid systems.
- Testing and previewing designs in environments like CodePen.
Modularization and Component Reusability
- Generating reusable UI elements such as buttons, cards, and forms.
- Building component libraries and design systems with AI support.
- Integrating AI workflows within popular frameworks like React, Vue, and Tailwind.
AI-Enhanced Code Review and Troubleshooting
- Resolving layout defects and accessibility concerns using LLMs.
- Improving the performance of HTML, CSS, and JavaScript code.
- Diagnosing errors and proposing solutions through targeted AI prompts.
Collaborative Design and Content Synthesis
- Leveraging AI to create placeholder text, copy, and mock content.
- Partnering with designers to jointly develop wireframes and visual styles.
- Translating AI-generated concepts into functional HTML templates.
Capstone Project: Developing an AI-Scaffolded Web Application
- Designing the interface based on specific business requirements.
- Implementing components and interactive features with AI assistance.
- Finalizing, testing, and demonstrating the completed prototype.
Concluding Remarks and Future Pathways
Requirements
- Foundational knowledge of HTML, CSS, and JavaScript.
- Experience with front-end frameworks or established design systems.
- A desire to integrate AI to streamline UI/UX processes.
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
