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.
| Category | Technologies |
|---|---|
| Core Language | Python 3.10+ |
| AI Framework | LangChain, LangGraph |
| Vector Database | ChromaDB |
| Enterprise | Frappe Framework |
| Database | PostgreSQL, SQLite |
| Deployment | Frappe Bench, Docker |
- 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:
-
CLI Blog Manager Python + SQL integration project
-
Conversational RAG Agent LangChain-based question answering system
-
AI-Powered Library System Frappe Framework integrated with LangChain
| Week | Focus Area | Key Topics |
|---|---|---|
| 1 | Python Fundamentals | Syntax, Data Structures, Operators |
| 2 | Advanced Python | OOP, Modules, File I/O |
| 3 | Database Foundations | SQL, Python DB Integration |
| 4 | Python Project | CLI Blog Manager |
| 5 | AI Fundamentals | LLMs, RAG, Embeddings |
| 6 | Vector Databases | ChromaDB, Pinecone |
| 7 | LangChain | Chains, Agents, Tools |
| 8 | Multi-Agent Systems | LangGraph, Evaluation |
| 9 | Frappe Framework | DocTypes, UI Customization |
| 10 | Frappe Development | Server Scripting, APIs |
| 11 | Frappe Advanced | Permissions, Hooks |
| 12 | AI Integration | Frappe + LangChain Project |
-
Clone the repository:
git clone https://github.com/yourusername/ai-enterprise-dev.git cd ai-enterprise-dev -
Set up environment:
python -m venv venv # Linux/Mac source venv/bin/activate # Windows venv\Scripts\activate pip install -r requirements.txt
-
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:
- Fork the repository
- Create your feature branch:
git checkout -b feature/your-feature-name - Commit your changes:
git commit -m 'Add some feature' - Push to the branch:
git push origin feature/your-feature-name - Open a Pull Request
MIT License - see the LICENSE file for details.