Multi-Agent Systems Design: AI Customer Support with n8n

Overview

The challenge for most enterprises is not awareness of AI. It is the gap between knowing what AI can do and having teams who can build and deploy it.

This course closes that gap by allowing you to design and deploy a 4-agent AI customer support pipeline using n8n, MCP, and RAG. Here is what you will mainly build:

Multi-Agent Pipeline Design:

Configure a system where a Classifier Agent triages queries, a Reply Builder generates responses, & a Human-in-the-Loop layer gives your team control over every interaction.

RAG-Powered Knowledge Base:

Connect a Supabase knowledge base via. MCP so, each of the AI response is grounded in actual support content.

AI Classification & Automated Replies:

Build a GPT-4o-mini-powered classifier that typically reads emails, scores confidence, and routes tickets with a Telegram approval step for flagged cases. Testing and Production Deployment:

Validate the pipeline with real data and deploy to a live environment so the system runs without manual intervention.

Designed for enterprise teams and professionals ready to move from AI strategy to AI execution. 160+ LearnKartS courses have put 200,000+ learners ahead of the curve. Build your first production AI system today.

Syllabus

• Production AI Agents & Multi-Agent Systems Engineering
Learn how to design and structure multi-agent AI systems with proper architecture and context flow. You will also build RAG-based knowledge systems with logging, testing strategies, and production reliability.
• MCP Multi-Agent Architecture & AI Reply Systems with RAG
Learn how to build MCP-based multi-agent workflows with classifier, reply, and routing agents. You will integrate RAG, Gmail, Airtable, and Telegram to create end-to-end AI response systems.
• AI Classification, HITL Systems & Workflow Control
Learn how to build AI classification systems with human-in-the-loop approval flows. You will implement workflow control, Telegram-based validation, and safe production-grade AI decision systems.

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Taught by

Nikhil Agarwal and LearnKartS

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Subjects

Programming