Agentic AI for Business Process Automation
About This Course
This course equips participants with practical skills to automate business processes using agentic AI and n8n. Participants will explore the fundamentals of agentic AI, understand how AI agents reason, use tools and perform multi-step tasks, and build intelligent workflows that connect business applications, data sources and operational processes.
Through hands-on activities, participants will learn to use webhooks to trigger real-time automations and exchange data between systems. They will also implement human-in-the-loop mechanisms that allow employees to review, approve or intervene in important decisions, ensuring that automated processes remain accurate, controlled and aligned with business requirements.
The course also introduces Agentic Retrieval-Augmented Generation (RAG) for developing business chatbots that can retrieve information from organisational knowledge sources, generate context-aware responses and take appropriate actions through connected workflows. Participants will learn to design, test and improve an end-to-end agentic automation solution for applications such as customer service, administrative operations, document processing and internal knowledge support.
What You'll Learn
LO1: Identify and evaluate prompt engineering for Agentic AI applications and related issues.
LO2: Implement AI agent applications
LO3: Deploy Agentic AI workflows according to plan.
Topics Covered:
Topic 1: Fundamentals of Agentic AI and n8n AI Agents
Topic 2: Webhook Automation and Human-in-the-Loop Workflows
Topic 3: Building an Agentic RAG Chatbot
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
Target Age Group: 21 to 65 years old