AI Development Course

This repository contains a comprehensive AI development course, focusing on practical applications of AI technologies and tools.

Course Structure

The course is organized into several chapters, each focusing on different aspects of AI development:

notebooks/
├── 10_Chat VSCode/          # Introduction to VS Code AI Integration
│   └── 1_BOCYL/            # Basic Operations and Concepts
│
├── 20_API Programming/      # API Development with AI
│   ├── 1_Manual/           # Manual API Implementation
│   ├── 2_API/              # Advanced API Concepts
│   └── 3_Preprocessing/    # Data Preprocessing
│
├── 30_Output Format/        # Structured Output Handling
│   ├── 1_Pydantic/         # Using Pydantic for Data Validation
│   └── 2_Preprocessing/    # Output Preprocessing Techniques
│
├── 40_RAG/                 # Retrieval Augmented Generation
│   ├── 1_RAG/             # RAG Fundamentals
│   ├── 2_VectorDB/        # Vector Databases
│   └── 3_Chat CLI/        # Command Line Chat Applications
│
└── 50_Extra/              # Additional Resources and Materials

Getting Started

Prerequisites

• Python 3.8 or higher
• Git
• Required dependencies (specified in requirements.txt)

Installation

1. Clone the repository:

git clone <repository-url>

2. Navigate to the project directory:

cd AI

3. Install dependencies:

pip install -r requirements.txt

Course Content

1. Chat VSCode: Learn to integrate AI capabilities into VS Code
2. API Programming: Develop AI-powered APIs and understand preprocessing techniques
3. Output Format: Master structured data handling with Pydantic and preprocessing
4. RAG (Retrieval Augmented Generation): Implement advanced RAG systems with vector databases
5. Extra: Additional resources and supplementary materials

Contributing

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.

Contact

For any questions or concerns, please open an issue in the repository.

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Note: This repository contains course materials under active development. Content and structure may be updated regularly.