Comprehensive training program covering Python programming, AI/LLM integration, and enterprise application development with Frappe Framework.

• Duration: 12 weeks (3 hours/day, 5 days/week)
• Format: Daily lectures (1h) + hands-on exercises (1h)
• Prerequisites: Basic computer literacy
• Outcome: Full-stack AI application development skills

Foundations of Python programming and database integration

graph TD
    A[Python Basics] --> B[Data Structures]
    B --> C[Control Flow]
    C --> D[Functions & OOP]
    D --> E[File I/O]
    E --> F[SQL & Databases]
    F --> G[Python-SQL Integration]

Building AI applications with LangChain and RAG pipelines

graph LR
    H[LLM Fundamentals] --> I[Embeddings]
    I --> J[Vector DBs]
    J --> K[RAG]
    K --> L[LangChain]
    L --> M[LangGraph]
    M --> N[Multi-Agent Systems]

Frappe Framework and AI integration for business applications

graph BT
    O[Frappe Basics] --> P[DocTypes]
    P --> Q[Server Scripting]
    Q --> R[API Development]
    R --> S[Permissions]
    S --> T[AI Integration]

A comprehensive 12-week intensive program covering Python programming, AI/LLM integration, and enterprise application development with Frappe Framework.

• Python Mastery: From syntax fundamentals to OOP and database integration
• AI Engineering: Build RAG pipelines and multi-agent systems
• Enterprise Development: Create production-ready business applications
• Full Integration: Combine AI capabilities with enterprise systems

By program completion, students will have built:

1. CLI Blog Manager Python + SQL integration project

2. Conversational RAG Agent LangChain-based question answering system

3. AI-Powered Library System Frappe Framework integrated with LangChain

1. Clone the repository:

   git clone https://github.com/yourusername/ai-enterprise-dev.git
   cd ai-enterprise-dev

2. Set up environment:

   python -m venv venv
   # Linux/Mac
   source venv/bin/activate
   # Windows
   venv\Scripts\activate
   pip install -r requirements.txt

3. Explore weekly materials:

   /week-1-python-fundamentals
   /week-2-advanced-python
   ...
   /week-12-ai-integration
   

We welcome contributions from the community! To contribute, please follow these steps:

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

MIT License - see the LICENSE file for details.