Short Course

Artificial Intelligence

Practical Hands-On N8N AI Agent Workflow

Overview

This beginner-friendly course introduces professionals to n8n, an open-source workflow automation platform, with a focus on building AI agent workflows. Participants will learn how to design, test, and deploy intelligent automations that combine traditional workflow nodes with AI-driven decision-making. Through guided labs and case-driven exercises, learners will explore triggers, actions, data mapping, and AI agent integration. By the end of the course, participants will be able to create practical AI-powered workflows that automate repetitive tasks, enhance productivity, and orchestrate real-world business processes.

Who Should Attend

This course is intended for

  • Business operations managers who is looking to automate repetitive tasks and explore AI-driven workflows
  • HR, training & support leaders who is interested in building intelligent agents for employee engagement and compliance automation
  • Cross-functional teams made up of professionals already using digital tools who want to advance into workflow-centric automation
  • Administrators & technical champions staff who has been tasked with piloting and deploying n8n AI agent workflows across their organizations

Pre-requisites

  • Basic familiarity with digital tools (Excel, Gmail, Google Sheets, or CRM systems)
  • No coding background required, but comfort with drag-and-drop workflow builders is helpful
  • Prior exposure to AI tools or chatbots is advantageous but not mandatory
Enroll Now

1 Day

8 Hours

Level

Intermediate

What You Will Learn

Understand the Fundamentals of n8n Workflow Automation

Understand how to scope AI projects effectively by identifying business problems, aligning AI capabilities with organizational objectives, and defining measurable success criteria that deliver tangible business value.

Build AI-Powered Workflows Using n8n

Create simple to intermediate AI agent workflows using n8n’s intuitive drag-and-drop interface, allowing you to automate repetitive tasks and develop intelligent process automation without extensive programming knowledge.

Integrate External Services and Data Sources

Learn how to connect n8n with popular services such as Google Sheets, Gmail, webhooks, and APIs to automate data exchange, notifications, and business processes across multiple applications.

Develop Intelligent AI Agent Solutions

Apply AI agent nodes and large language models (LLMs) to build practical solutions such as customer support chatbots, automated email classification, document processing, and Retrieval-Augmented Generation (RAG) applications that leverage external knowledge sources.

Test, Debug, and Deploy Production-Ready Workflows

Validate workflow logic using manual execution, troubleshoot errors with built-in debugging tools, optimize workflow performance, and deploy reliable automations using production execution modes and best practices.

Extend Workflow Capabilities with Multi-Agent Collaboration and MCP

Explore advanced automation techniques by implementing multi-agent collaboration, integrating Model Context Protocol (MCP) tools, and designing scalable AI-driven workflows capable of handling more complex business processes.

Course Outline

Day 1
  • Foundations of n8n Workflow Automation
    • Introduction to n8n: Open-source automation and hosting options
    • Navigating the n8n UI: Nodes, connections, and tags
    • Understanding triggers and actions (manual, schedule, webhook)
    • Building your first workflow: Google Sheets + Gmail integration
  • AI Agent Basics in n8n
    • What is an AI agent? LLMs vs. agents
    • Adding AI agent nodes to workflows
    • Designing custom prompts and system messages
    • Demo: Creating a simple AI chatbot with memory and tools
    • Activity: Build a customer service chatbot for a bank
  • Practical AI Agent Workflows
    • Data mapping and referencing across nodes
    • Demo: AI agent managing synthetic credit card data
    • Activity: Agentic process automation with housing loan + credit card + customer contact data
    • Introduction to RAG (Retrieval-Augmented Generation)
  • Multi-Agent Collaboration and Deployment
    • Multi-agent workflows: A2A communication
    • Introduction to Model Context Protocol (MCP)
    • Execution modes: Manual vs. Production
    • Debugging, monitoring, and using n8n templates

Trainers Profile

 
Peter

Victor Tan

Victor Tan brings a remarkably interdisciplinary academic and professional profile to his current role as a PhD scholar in Artificial Intelligence at Murdoch University. He holds multiple advanced degrees from Nanyang Technological University, including a Master of Science in Information Systems.