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Enterprise AI Capstone Projects Overview

+---------------------------------------------------------------------------------+
|                        PORTFOLIO-GRADE CAPSTONE ROADMAP                         |
+---------------------------------------------------------------------------------+
|  Project 1: Enterprise RAG PDF Knowledge Engine (ChromaDB + FastAPI)            |
|  Project 2: Autonomous Text-to-SQL Analyst Agent (Self-healing + sqlglot)       |
|  Project 3: AI-Driven Data Quality & Anomaly Detector (Semantic drift)          |
|  Project 4: Automated Code & Airflow DAG Review Bot (GitHub Action integration) |
|  Project 5: Multi-Agent Lakehouse Governance Team (LangGraph Orchestration)    |
+---------------------------------------------------------------------------------+

Welcome to the Capstone Projects Track

These five capstone projects represent real-world enterprise systems designed specifically for Senior Data Engineers, AI Engineers, and Platform Architects.

Each project is structured with:

  1. System Architecture Diagrams: Full dataflow and component breakdowns.
  2. Production-Grade Implementation: Modular Python code using standard enterprise libraries.
  3. Guardrails & Security: PII masking, AST validation, error recovery, and rate limiting.
  4. Evaluation & Verification: Testing strategies to guarantee production reliability.
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