AI-Agent-Projects
starsforks
How to install AI-Agent-Projects?
laxmimerit/ai-agent-projects
$git clone https://github.com/laxmimerit/AI-Agent-ProjectsMaster AI Development • Build Production Applications • Deploy at Scale
README.md
| 1 | # AI Agent Projects |
| 2 | # 🚀 Complete AI & Machine Learning Course Collection |
| 3 | |
| 4 | <div align="center"> |
| 5 | |
| 6 |  |
| 7 | |
| 8 | [](https://www.udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7) |
| 9 | [](https://www.udemy.com/course/agentic-rag-with-langchain-and-langgraph/?referralCode=C0BCC208F53AF2C98AC5) |
| 10 | [](https://www.udemy.com/course/python-for-machine-learning-and-data-science-projects/?referralCode=C2A381E2EC08C84FFBFE) |
| 11 | [](https://www.udemy.com/user/laxmi-kant-tiwari/) |
| 12 | |
| 13 | **Master AI Development • Build Production Applications • Deploy at Scale** |
| 14 | |
| 15 | [🤖 LLM Development](#-llm-and-ai-agent-development) • [📊 Machine Learning](#-machine-learning-and-data-science) • [🚀 Production](#-production-and-deployment) |
| 16 | |
| 17 | </div> |
| 18 | |
| 19 | --- |
| 20 | |
| 21 | ## 🤖 LLM and AI Agent Development |
| 22 | |
| 23 | <details> |
| 24 | <summary><strong>🎯 Master OpenAI Agent Builder - Low-Code AI Projects Workflow</strong></summary> |
| 25 | |
| 26 | > **🎯 Build and deploy AI agents visually using OpenAI Agent Builder, ChatKit, RAG, Chatbot, AI Assistant with MCP, AWS, RDS MySQL** |
| 27 | |
| 28 | **What You'll Master:** |
| 29 | - ✅ **Visual AI Development:** Build AI agents without complex coding using OpenAI Agent Builder |
| 30 | - ✅ **Real-World Integration:** Connect AI workflows with MySQL, AWS, and MCP connectors |
| 31 | - ✅ **Production Deployment:** Deploy AI agents with ChatKit and Guardrails for safety |
| 32 | - ✅ **Complete Projects:** Weather Agent, RAG Document Q&A Chatbot, E-Commerce AI Assistant |
| 33 | - ✅ **Database Integration:** AWS RDS MySQL connection and management |
| 34 | - ✅ **Cloud Deployment:** AWS Lambda and API Gateway for production use |
| 35 | |
| 36 | <div align="center"> |
| 37 | |
| 38 | **🎯 Technologies:** OpenAI Agent Builder • ChatKit • AWS • RDS MySQL • MCP • Lambda • API Gateway |
| 39 | |
| 40 | </div> |
| 41 | |
| 42 | <div align="center"> |
| 43 | <a href="https://www.udemy.com/course/master-openai-agent-builder-low-code-ai-projects-workflow/?referralCode=B0B67D18B1013E488FB7" target="_blank"> |
| 44 | <img src="https://img.shields.io/badge/🎓_Enroll_Now_→-00A67E?style=for-the-badge&logoColor=white&labelColor=00A67E" alt="Enroll Now" width="200"/> |
| 45 | </a> |
| 46 | </div> |
| 47 | |
| 48 | </details> |
| 49 | |
| 50 | <details> |
| 51 | <summary><strong>🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama</strong></summary> |
| 52 | |
| 53 | > **🎯 Build MCP servers & clients with Python, Streamlit, ChromaDB, LangChain, LangGraph agents, and Ollama integrations** |
| 54 | |
| 55 | **What You'll Master:** |
| 56 | - ✅ **MCP Architecture:** Client, server, and transport layers |
| 57 | - ✅ **Claude Desktop Integration:** Direct MCP server connections |
| 58 | - ✅ **Real-World Applications:** Data analysis servers for Excel, PowerPoint, SQLite |
| 59 | - ✅ **RAG Implementation:** Vector databases with LangChain integration |
| 60 | - ✅ **Production Deployment:** Testing, security, and cloud deployment |
| 61 | |
| 62 | <div align="center"> |
| 63 | |
| 64 | **🎯 Technologies:** Python • Streamlit • ChromaDB • LangChain • LangGraph • Ollama |
| 65 | |
| 66 | </div> |
| 67 | |
| 68 | <div align="center"> |
| 69 | <a href="https://www.udemy.com/course/mcp-mastery-build-ai-apps-with-claude-langchain-and-ollama/?referralCode=31C17C306A59601B8689" target="_blank"> |
| 70 | <img src="https://img.shields.io/badge/🎓_Enroll_Now_→-FF6B35?style=for-the-badge&logoColor=white&labelColor=FF6B35" alt="Enroll Now" width="200"/> |
| 71 | </a> |
| 72 | </div> |
| 73 | |
| 74 | </details> |
| 75 | |
| 76 | <details> |
| 77 | <summary><strong>📊 Agentic RAG with LangChain and LangGraph - Ollama</strong></summary> |
| 78 | |
| 79 | > **🎯 Step-by-Step Guide to RAG with LangChain, LangGraph, and Ollama | DeepSeek R1, QWEN, LLAMA, FAISS** |
| 80 | |
| 81 | **Advanced RAG Techniques:** |
| 82 | - 🧠 **Agentic RAG:** Intelligent, adaptive sys |
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