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Agentic AIadvanced

Complete End to End AI Governance Project

A complete end to end AI Governance System using all Open-source alternatives and making a Multi Ai Agent Chatbot with all governance layers like Identity Governance for Humans and AI Agents, Data Governance, Model Governance, Policy Governance, Agent Runtime Governance and Operations Governance along with Compliance Governance also.

22 lectures

What You Will Learn

How real AI governance controls work in practice — identity verification, policy enforcement, data/PII protection, model approval gating, guardrails, and audit logging — not just the theory.
How a multi-agent system (LangGraph) enforces authorization at every layer, including agent-to-agent handoffs and individual tool calls, so unauthorized actions are blocked before they execute.

System Architecture

Complete End to End AI Governance Project Architecture Diagram

High-level architecture overview of the Complete End to End AI Governance Project .

What You'll Build

  • A working multi-agent AI system (order/billing/admin specialists) backed by a real Postgres database with least-privilege roles, orchestrated as an explicit LangGraph state graph.
  • A full governance stack — Keycloak/SPIFFE identity, OPA policy engine, OpenMetadata data catalog, MLflow model registry, Guardrails AI, and Langfuse tracing
  • A live Streamlit dashboard showing all 7 governance checks pass/fail per request, plus a compliance report generator that reads real logs to prove enforcement.

Project Instructor

Sudhanshu

Sudhanshu

4+ years exp
LinkedIn
Complete End to End AI Governance Project
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