Interactive Prompt Engineering Course

A comprehensive, interactive learning platform for mastering AI prompt engineering techniques. Built with React and featuring hands-on exercises, real-world scenarios, and progressive skill development.

🚀 Features

Core Learning Experience

• 6 Comprehensive Modules: From basics to advanced techniques with complete content from original course outline
• Interactive Learning: Hands-on exercises with real-time feedback and intelligent validation
• Progressive Difficulty: Guided practice exercises and advanced challenges for each module
• Industry Applications: Real-world scenarios across healthcare, finance, e-commerce, and enterprise
• Consolidated Lessons: Overview, key concepts, and interactive elements on single pages
• Functional Practice: Every practice button launches real exercises with step-by-step guidance

Technical Excellence

• Modern UI: Responsive design with TomsTools branding and dark theme color scheme
• Progress Tracking: Visual progress indicators, achievement system, and performance analytics
• Smart Validation: Intelligent answer checking with contextual feedback
• Mobile Optimized: Touch-friendly interface that works seamlessly across devices

📚 Course Modules

Module 1: Introduction to Prompt Engineering

• Guided Practice: AI Communication Fundamentals - Evolution, goal setting, capability assessment
• Challenge: AI Strategy Development - Business implementation planning with risk assessment

Module 2: The Anatomy of a Prompt

• Guided Practice: Prompt Component Mastery - Hands-on practice with four key components
• Challenge: Advanced Prompt Architecture - Multi-objective prompts with conditional logic

Module 3: Core Prompting Techniques

• Guided Practice: Technique Selection Mastery - When to use different techniques with scenarios
• Challenge: Technique Optimization Laboratory - Performance benchmarking and hybrid development

Module 4: Advanced Prompting Techniques

• Guided Practice: Chain-of-Thought Reasoning - Step-by-step problem decomposition
• Challenge: Multi-Perspective Strategic Analysis - Multiple AI personas for complex analysis

Module 5: Practical Applications & Use Cases

• Guided Practice: Industry Application Workshop - Healthcare, finance, e-commerce applications
• Challenge: Enterprise AI Implementation - Multi-department AI strategies and governance

Module 6: The Future of Prompt Engineering

• Guided Practice: Future-Ready Prompt Engineering - Multimodal prompts and automation
• Challenge: AI-Augmented Business Transformation - End-to-end workflow design

🎯 Interactive Elements

• Prompt Builder: Real-time prompt construction with component-by-component guidance
• Technique Comparison: Side-by-side analysis of different prompting approaches
• Before/After Gallery: Visual demonstrations of prompt improvements
• Interactive Quizzes: Knowledge validation with immediate feedback
• Resource Library: Curated learning materials organized by category
• ROI Calculators: Business impact analysis tools
• Career Roadmaps: Personalized learning and development paths

🛠 Technology Stack

• Frontend: React 18 with Vite
• Styling: Tailwind CSS with custom TomsTools theme
• Icons: Lucide React
• Build Tool: Vite with optimized production builds
• Package Manager: pnpm for fast, efficient installs
• Deployment: Netlify-ready with automatic configuration

🏃‍♂️ Quick Start

Prerequisites

• Node.js 18 or higher
• pnpm (recommended) or npm

Installation

1. Clone the repository:

   git clone https://github.com/GrowthScience-AI/prompt-engineering-course.git
   cd prompt-engineering-course

2. Install dependencies:

   pnpm install

3. Start the development server:

   pnpm run dev

4. Open your browser and navigate to http://localhost:5173

Build for Production

pnpm run build

The built files will be in the dist directory, optimized for production deployment.

🌐 Deployment

Netlify Deployment (Recommended)

This project is optimized for Netlify with zero-configuration deployment:

1. Connect to Netlify:

   • Go to Netlify
   • Click "New site from Git"
   • Connect your GitHub account
   • Select this repository (GrowthScience-AI/prompt-engineering-course)

2. Auto-Configuration:

   • Build settings are automatically configured via netlify.toml
   • Build command: pnpm install && pnpm run build
   • Publish directory: dist
   • Node version: 18
   • SPA redirects and performance headers included

3. Deploy: Netlify will automatically build and deploy your site with continuous deployment

Alternative Deployment Options

• Vercel: Import from GitHub with automatic React detection
• GitHub Pages: Use GitHub Actions for automated deployment
• AWS S3 + CloudFront: Static hosting with CDN
• Any Static Host: Upload dist folder contents

🎨 Customization

Branding

• Replace public/tomstools-logo.webp with your logo
• Update colors in src/App.css (CSS custom properties)
• Modify course title and branding in src/App.jsx

Content

• Course Modules: Edit src/data/courseData.js
• Practice Exercises: Modify src/data/practiceExercises.js
• Interactive Components: Customize src/components/InteractiveElements.jsx

Styling

• Theme Colors: Update CSS custom properties in src/App.css
• Component Styles: Modify Tailwind classes in component files
• Responsive Design: Adjust breakpoints and mobile layouts

📁 Project Structure

prompt-engineering-course/
├── public/
│   ├── tomstools-logo.webp    # Brand logo
│   └── index.html             # HTML template
├── src/
│   ├── components/
│   │   ├── ui/                # Reusable UI components
│   │   ├── InteractiveElements.jsx  # Interactive learning tools
│   │   ├── ModuleContent.jsx        # Main lesson display
│   │   └── PracticeExercise.jsx     # Practice exercise system
│   ├── data/
│   │   ├── courseData.js            # Complete course content
│   │   └── practiceExercises.js     # All practice scenarios
│   ├── App.jsx                # Main application component
│   ├── App.css               # Global styles and theme
│   └── main.jsx              # Application entry point
├── netlify.toml              # Netlify deployment configuration
├── package.json              # Dependencies and scripts
├── vite.config.js           # Vite build configuration
├── tailwind.config.js       # Tailwind CSS configuration
├── LICENSE                  # MIT License
└── README.md               # This file

🚀 Performance Features

• Code Splitting: Automatic route-based code splitting
• Asset Optimization: Images and assets optimized for web
• Caching Headers: Long-term caching for static assets
• Bundle Analysis: Optimized bundle sizes for fast loading
• Progressive Loading: Smooth loading states and transitions

🔧 Development

Available Scripts

• pnpm dev - Start development server
• pnpm build - Build for production
• pnpm preview - Preview production build locally
• pnpm lint - Run ESLint (if configured)

Adding New Content

1. New Module: Add to courseData.js with complete content structure
2. Practice Exercise: Add to practiceExercises.js with validation logic
3. Interactive Element: Create component in InteractiveElements.jsx

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Built with modern React 18 and Vite for optimal performance
• UI components inspired by shadcn/ui design system
• Icons provided by Lucide React icon library
• Designed specifically for the TomsTools platform
• Course content based on comprehensive prompt engineering research

📞 Support

For support and questions:

• Visit TomsTools
• Open an issue in this repository
• Check the comprehensive documentation in the code

🎯 Live Demo

The course is deployed and ready for immediate use. Deploy to Netlify for your own instance or contribute to the open-source project.

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Made with ❤️ for the AI community | TomsTools Platform