---
url: "https://xcademia.com/courses/n8n-for-ai-agents"
title: n8n for AI Agents
description: "Learn n8n AI agents, RAG, webhooks and workflow automation in this mentor-led practical training programme for real business use cases."
publishedAt: "2026-03-20T10:46:12.570457+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "FSE-0045"
level: Practitioner
duration_days: "3"
track: "AI Agents & Multiagent Systems "
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "1999"
---

# n8n for AI Agents

> Learn how to build AI agents using n8n with tool integrations, workflows and automation triggers. This mentor-led programme uses practical scenarios to design, deploy and manage real business agents.

## Overview

AI agents are rapidly transforming how organisations automate workflows, integrate systems, and deliver intelligent services. Platforms like n8n enable teams to orchestrate complex processes by connecting APIs, tools, and AI models into unified automation pipelines.

This programme focuses on building AI agents using n8n, including agent nodes, LLM tool calls, retrieval-augmented generation (RAG), webhook triggers, and error handling. Participants learn how to design robust workflows that interact with data sources, external tools, and business systems.

Delivered as a mentor-led programme using practical scenarios, this course provides hands-on experience in creating real business agents, ensuring reliability, scalability, and maintainability in production-ready workflows.

## Prerequisites

- Basic understanding of APIs or automation tools.
- Familiarity with AI or LLM concepts.
- Interest in building automation workflows.

## What you will learn

- Analyse AI agent workflow requirements
- Design n8n automation pipelines
- Implement LLM integrations and tool calls
- Evaluate RAG architectures and data flows
- Communicate workflow logic and design
- Optimise agent performance and reliability

## Skills you will gain

- n8n workflow design
- AI agent orchestration
- LLM tool integration
- RAG pipeline basics
- Webhook automation triggers
- Error handling strategies

## Career progression

- AI Automation Engineer
- Workflow Developer
- AI Product Builder
- Technical Marketer
- Solutions Engineer

## Curriculum

1. **Module 1: Getting Ready**
   - Introduction to n8n and AI agents
   - Environment setup and workflow basics
2. **Module 2: n8n Fundamentals and Workflow Design**
   - Nodes, connections, and data flow
   - Designing automation workflows
   - Managing inputs and outputs
3. **Module 3: AI Agent Nodes and LLM Integration**
   - Using AI agent nodes in n8n
   - LLM tool calls and orchestration
   - Prompt structuring for agents
4. **Module 4: RAG Integration and Data Handling**
   - Retrieval-augmented generation concepts
   - Connecting to databases and APIs
   - Managing knowledge sources
5. **Module 5: Webhooks and Event-Driven Automation**
   - Setting up webhook triggers
   - Event-based workflow execution
   - Real-time automation use cases
6. **Module 6: Error Handling and Reliability**
   - Debugging workflows
   - Handling failures and retries
   - Logging and monitoring
7. **Module 7: Building Real Business Agents**
   - End-to-end agent development
   - Use cases: support, marketing, operations
   - Deployment and optimisation

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Who should attend this course?**

Developers, automation professionals, and anyone interested in building AI-driven workflows.



**Do I need coding experience?**

Basic technical understanding is helpful, but deep coding experience is not required.



**Will I build real AI agents?**

Yes, the course includes hands-on development of real business automation agents.



**Is RAG covered in the course?**

Yes, including practical integration with data sources and workflows.



**What certificate will I receive?**

Participants receive an Xcademia Practitioner Certificate upon completion.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | FSE-0045 |
| Duration | 3 days |
| Level | Practitioner |
| Track | AI Agents & Multiagent Systems  |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £1999 |

---

## About this content

This Markdown course profile is the citation-grade twin of [n8n for AI Agents](https://xcademia.com/courses/n8n-for-ai-agents). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/n8n-for-ai-agents
- Publisher: Xcademia — https://xcademia.com
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