Course Outline
Introduction to Generative AI for Front-End
- Definition and role of generative AI in software development.
- Overview of key tools: ChatGPT, GitHub Copilot, Codeium, and others.
- Benefits and limitations of AI in UI development.
Prompt-Based UI Generation
- Crafting effective prompts for HTML structure and components.
- Generating and modifying CSS styles with AI assistance.
- Leveraging AI to scaffold interactive elements in JavaScript.
Prototyping Layouts with Generative Tools
- Constructing landing pages and multi-section layouts.
- Utilizing responsive design prompts (Flexbox, Grid).
- Previewing and testing outcomes using CodePen or similar 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 into popular frameworks like React, Vue, and Tailwind.
AI-Assisted Code Review and Debugging
- Resolving layout bugs and accessibility issues using Large Language Models (LLMs).
- Optimizing HTML, CSS, and JavaScript code for performance.
- Receiving error explanations and fix suggestions via AI prompts.
Collaborative Design and Content Generation
- Employing AI to generate dummy content, copy, and placeholder images.
- Collaborating with designers to co-create wireframes and styles.
- Translating AI-generated concepts into functional HTML templates.
Project: Build an AI-Scaffolded Web App
- Designing the UI based on specific business prompts.
- Constructing components and interactions using AI assistance.
- Polishing, testing, and presenting the final prototype.
Summary and Next Steps
Requirements
- Fundamental understanding of HTML, CSS, and JavaScript.
- Familiarity with front-end frameworks or design systems.
- Interest in applying AI to accelerate UI/UX workflows.
Audience
- Front-end developers.
- UX engineers.
- Web designers and creative technologists.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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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
