A Comprehensive, Systematic Learning Path from Beginner to Advanced Current Status: 🎉 176 notebooks complete | 15 learning modules | Production-ready
Enterprise-grade multi-agent AI system that orchestrates 6 specialized agents using LangGraph to autonomously perform comprehensive root cause analysis (RCA) of semiconductor test failures. Reduces RCA time from 4-8 hours to 20-30 minutes (target) with >85% accuracy (target).
A production-ready Model Context Protocol (MCP) server for JIRA integration. This server enables AI assistants to query JIRA issues and perform searches using natural language.
Enterprise RAG (Retrieval-Augmented Generation) chatbot with vector database for internal knowledge management.
🚀 Master AI/ML/Data Engineering with 176 Jupyter notebooks, guiding you from basics to real-world projects using semiconductor data for practical learning.
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