Agentic AI with n8n

n8n is one of the tools Dr. Alfred Ang reaches for most often when he turns a business process into an intelligent automation. A full-stack AI developer and Agentic AI solution architect, he serves as Managing Director, CIO, CTO and Chief Instructional Designer of Tertiary Infotech Academy Pte Ltd and founded Tertiary Courses, where he leads agentic AI adoption that automates customer service, internal workflows, analytics and decision support. His GitHub portfolio of more than 300 public repositories contains a whole family of n8n builds. In n8n-ragdemo, a browser PDF uploader feeds a vector store and a Telegram AI agent running on Google Gemini answers questions from the documents; n8n-ragdemo2 adds workflows that ingest course brochures into Supabase, Pinecone or Qdrant vector databases for a customer-service RAG chatbot. His n8n-hrportal is a self-service HR portal with human-in-the-loop manager approval and an HR chatbot guarded by input and output checks, while n8n-inventorycontrol uses a local LLM to audit stock levels and compute replenishment, reporting via Google Sheets and Gmail. He also built iotplatform, a self-hosted IoT platform in which drag-and-drop n8n flows automate connected devices. Alongside n8n he works with Langflow, Flowise, the OpenAI Agents SDK, the Claude Agent SDK, CrewAI and Microsoft AutoGen, and he is a Microsoft Certified AI Engineer Associate (AI-102) and AWS Certified Solutions Architect with a PhD in Electrical Engineering from NUS. He also holds the Certificate in AI Ethics and Governance (Senior Professional) from NTU.

In Agentic AI with n8n, Dr. Ang maps those projects directly onto the course. Learners begin with workflow automation in n8n, connecting apps and services and moving data between them, before adding AI agents that can reason, make decisions and call tools on their own. The third topic covers webhooks and HTTP requests, the glue that lets agents reach external systems and APIs, and the fourth builds agentic RAG so workflows can retrieve knowledge from documents rather than relying on a model's memory. The final topic, on human-in-the-loop, monitoring and security, reflects patterns he uses in his own builds: approval steps before sensitive actions, guardrails on what goes in and out of a model, and logs that make every agent decision traceable. He teaches with working examples that learners rebuild step by step, explaining why each node is there and how to debug a flow when an agent behaves unexpectedly. His emphasis is on automations that survive contact with real business processes, with clear triggers, sensible error handling and credentials kept secure. By the end of the course, learners have designed and deployed agentic workflows they can adapt immediately to their own work. As an ACTA-certified trainer and DACE-certified curriculum developer, he keeps sessions practical, paced and supportive. He also shares templates for common business automations, such as email triage, document question answering and approval flows, that learners can adapt after the course. To see his n8n and agent projects for yourself, explore his GitHub portfolio at https://github.com/alfredang and connect with him on LinkedIn at https://www.linkedin.com/in/angchewhoe/

Teh Siew Yee is a seasoned leader in data science and digital transformation with more than two decades of experience across Asia Pacific and global markets. Siew Yee has led cross-geographical teams, collaborated with industry leaders from the US, UK, China, India, Japan, South Korea and Australia, and has hands-on experience in data architecture, engineering and analytics, with expertise spanning predictive modelling, machine learning and deep learning. Siew Yee's industry experience covers technology, education, finance, aerospace and eCommerce, and includes developing training programmes for every level of an organisation, from the C-suite to working-level staff. Siew Yee is also an ACLP-certified trainer.

In Agentic AI with n8n, Siew Yee applies that data engineering and automation perspective to building intelligent workflows. Learners begin with workflow automation fundamentals in n8n, then add AI agents that can reason, make decisions and call tools as part of agentic process automation. They connect workflows to external services through webhooks and HTTP requests, enhance them with agentic retrieval-augmented generation so answers draw on organisational knowledge, and finish with human-in-the-loop controls, monitoring and security. With a focus on practical application, Siew Yee helps participants design, build and deploy automations that solve real business problems rather than simply demonstrate the technology.