Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to Generative AI in Front-End
- Defining generative AI within the context of software engineering.
- Surveying key tools such as ChatGPT, GitHub Copilot, and Codeium.
- Analyzing the advantages and constraints of AI in UI creation.
UI Generation via Prompting
- Designing effective prompts for HTML architecture and components.
- Synthesizing and adjusting CSS styling using AI assistance.
- Employing AI to draft interactive JavaScript elements.
Layout Prototyping with Generative Tools
- Constructing landing pages and complex multi-section structures.
- Applying prompts for responsive design techniques (Flexbox, Grid).
- Reviewing and validating designs in CodePen or comparable platforms.
Component Design and Reusability
- Generating reusable UI assets such as buttons, cards, and forms.
- Building component libraries and design systems with AI support.
- Integrating AI workflows into popular frameworks like React, Vue, and Tailwind.
AI-Enhanced Code Review and Debugging
- Resolving layout discrepancies and accessibility concerns using LLMs.
- Improving the performance of HTML/CSS/JS codebases.
- Interpreting errors and deriving solutions through AI-driven prompting.
Collaborative Design and Content Creation
- Leveraging AI to produce placeholder content, copy, and dummy data.
- Collaborating with designers to jointly create wireframes and visual styles.
- Converting AI-generated concepts into functional HTML templates.
Capstone Project: Developing an AI-Structured Web Application
- Designing the UI architecture based on specific business requirements.
- Constructing components and user interactions with AI assistance.
- Refining, testing, and presenting the final prototype.
Recap and Future Directions
Requirements
- Fundamental knowledge of HTML, CSS, and JavaScript.
- Basic familiarity with front-end frameworks or established design systems.
- A keen interest in utilizing 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
