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Duration 14 hours
Course Outline
Introduction to Generative AI in Front-End Development
- Understanding generative AI within the context of software development.
- A survey of key tools such as ChatGPT, GitHub Copilot, and Codeium.
- The advantages and constraints of employing AI in UI development.
Prompt-Based UI Creation
- Constructing prompts to define HTML structure and components.
- Generating and adjusting CSS styles with AI assistance.
- Scaffolding interactive JavaScript elements using AI prompts.
Prototyping Layouts with Generative Tools
- Assembling landing pages and multi-section layouts.
- Crafting responsive design prompts utilising Flexbox and Grid.
- Testing and previewing designs in environments like CodePen.
Componentisation and Reusability
- Producing reusable UI components such as buttons, cards, and forms.
- Building component libraries and design systems with AI support.
- Integrating AI into popular frameworks like React, Vue, and Tailwind.
AI-Assisted Code Review and Debugging
- Resolving layout defects and accessibility concerns using LLMs.
- Enhancing the performance of HTML, CSS, and JS code.
- Interpreting errors and proposing solutions through AI prompting.
Collaborative Design and Content Generation
- Using AI to create placeholder content, copy, and assets.
- Collaborating with designers to co-create wireframes and styles.
- Converting AI-generated concepts into functional HTML templates.
Project: Developing an AI-Scaffolded Web Application
- Designing the UI based on specific business prompts.
- Constructing components and interactions with AI assistance.
- Refining, testing, and presenting the final prototype.
Wrap-Up and Future Directions
Requirements
- Fundamental grasp of HTML, CSS, and JavaScript
- Experience with front-end frameworks or design systems
- Desire to integrate AI into UI/UX processes to enhance efficiency
Intended 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
