Classroom/ Online: Yes/ No
Scheduling Date(s):
Note: Please click specific date for detailed venue and course fee etc.
1-Day Practical Hands-On N8N AI Agent Workflow Training
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.
Pre-Requisites:
1. Basic familiarity with digital tools (Excel, Gmail, Google Sheets, or CRM systems).
2. No coding background required, but comfort with drag-and-drop workflow builders is helpful.
3. Prior exposure to AI tools or chatbots is advantageous but not mandatory.
Pre-Requisites:
1. Basic familiarity with digital tools (Excel, Gmail, Google Sheets, or CRM systems).
2. No coding background required, but comfort with drag-and-drop workflow builders is helpful.
3. Prior exposure to AI tools or chatbots is advantageous but not mandatory.
Objective
- Understand the fundamentals of n8n workflows, nodes, triggers, and connections.
- Build simple to intermediate AI agent workflows using n8n’s drag-and-drop interface.
- Integrate Google Sheets, Gmail, and webhooks into workflows for real-world automation.
- Apply AI agent nodes for tasks such as customer service chatbots, email classification, and RAG (Retrieval-Augmented Generation).
- Test, refine, and deploy workflows with manual and production execution modes.
- Gain confidence in extending workflows with multi-agent collaboration and MCP tools.
Outline
Module 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
Module 2: 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.
Module 3: 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).
Module 4: 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.
• 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
Module 2: 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.
Module 3: 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).
Module 4: 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.
Who should attend
1. Business Operations Managers: Looking to automate repetitive tasks and explore AI-driven workflows.
2. HR, Training & Support Leaders: Interested in building intelligent agents for employee engagement and compliance automation.
3. Cross-Functional Teams: Professionals already using digital tools who want to advance into workflow-centric automation.
4. Administrators & Technical Champions: Staff tasked with piloting and deploying n8n AI agent workflows across their organizations.
2. HR, Training & Support Leaders: Interested in building intelligent agents for employee engagement and compliance automation.
3. Cross-Functional Teams: Professionals already using digital tools who want to advance into workflow-centric automation.
4. Administrators & Technical Champions: Staff tasked with piloting and deploying n8n AI agent workflows across their organizations.
Methodology
hands-on, demo and practices, Q&A
Profile of Dwight Nuwan Fonseka
Head Data Analyst | Data Governance & AI | CAIP | CDSP | ACLP
Dwight Fonseka is a seasoned data analytics professional with over a decade of experience in big data, predictive modeling, and AI. Holding a Master’s in Education (NTU), a degree in Biotechnology (NUS). He is a Certified AI Practitioner (CAIP), Certified Data Science Practitioner (CDSP), and ACLP-certified trainer with extensive experience delivering data-driven insights and practical applications across industries.
Dwight has held roles such as Senior Data Analyst and Data Governance Officer at Plano Pte Ltd, specializing in healthcare analytics and machine learning. As an adjunct trainer, he delivers practical courses in data visualization, data storytelling, deep learning, and AI business models, using tools like R, Python, Tableau, and RapidMiner.
Notable Topics Trained:
- Data Analytics & Visualization (R, Tableau, Excel)
- Machine & Deep Learning (RapidMiner, DeepCognition)
- Data Governance & AI Business Models
- Predictive Analytics & Data-Driven Decision-Making
