Duration: 6 hours
Format: Hands-on workshop with guided practice and a real-world project
Target audience: Beginners, aspiring developers, designers, entrepreneurs, startup founders, and anyone interested in building web applications with AI.
Workshop Description
Learn how to build a modern React application without writing code from scratch! In this practical, hands-on workshop, participants will discover how to use AI-powered development tools to transform an idea into a functional web application.
Participants will learn how to generate a user interface (UI), connect external APIs, work with data, and integrate AI capabilities into a web service. Using AI coding assistants and modern development platforms, they will explore the process of building, testing, and preparing an AI-powered application for deployment.
No advanced programming experience is required. The workshop focuses on using natural-language prompts, AI-generated code, and visual development tools to simplify the app development process.
What You Will Learn
- AI-Assisted Development: Turn an idea into an application using natural-language prompts and AI coding assistants.
- UI Generation: Create responsive interfaces, layouts, and reusable React components with AI.
- React Fundamentals: Understand the basic structure of a React application, components, props, and state.
- API Integration: Connect external APIs and display dynamic data in your application.
- AI Service Integration: Add AI-powered functionality using an AI API.
- Data Management: Explore how to store, retrieve, and manage application data.
- Testing and Debugging: Identify errors, improve generated code, and troubleshoot common issues with AI assistance.
- Deployment: Learn how to publish a web application using a modern hosting platform.
Workshop Agenda
Part 1. From Idea to UI — 1 hour
- Define the project idea and core functionality.
- Explore AI development tools.
- Generate the initial UI and application structure.
Part 2. Building the React App — 1.5 hours
- Create and customize React components.
- Implement user interactions and application state.
- Improve the interface with AI-generated code.
Part 3. Connecting APIs and AI — 1.5 hours
- Connect an external API.
- Process and display data.
- Integrate an AI-powered feature into the application.
Part 4. Testing and Debugging — 1 hour
- Test the main application features.
- Identify and fix errors using AI assistants.
- Improve usability and handle common edge cases.
Part 5. Deployment and Project Presentation — 1 hour
- Prepare the application for deployment.
- Publish the project using a suitable hosting platform.
- Present the results and discuss further development opportunities.
Practical Challenge
Build and launch your own AI-powered web service.
Throughout the workshop, participants will develop a working application that combines a user-friendly interface, API integration, and an AI-powered feature. Example projects include an AI text generator, a smart recommendation tool, an educational assistant, or a simple AI content creation service.
Expected Outcomes
By the end of the workshop, participants will be able to:
- Generate a React application using AI-assisted development tools.
- Build and customize a functional user interface.
- Connect an API and work with dynamic data.
- Integrate AI functionality into a web application.
- Test, debug, and improve an application with AI assistance.
- Understand the steps required to deploy a working web service.
Participants will leave with a functional project prototype, practical experience with AI-powered development tools, and a workflow they can reuse to build their own applications.
Suggested Tools
- AI coding assistants: ChatGPT, Claude, GitHub Copilot, Cursor
- Development environments: Replit, CodeSandbox, StackBlitz
- Frontend: React, Vite
- APIs and backend services: Supabase, Firebase, REST APIs
- Deployment: Vercel, Netlify
Workshop approach: Build a real project, learn by experimenting, and use AI to turn ideas into working applications.
Note: The workshop lasts 6 hours. The original brief mentions completing the AI service in 4 hours; the additional time allows for testing, debugging, deployment, and project presentations. The final result will depend on the project’s complexity and participants’ experience.