Video 10 [03:31] : AI Agent Workflow in n8n
- Module 3: Introduction and Instructions (Completed)
- Video 1 [06:18] : Module Introduction (Completed)
- Watch: The Agentic Future: Insights from Mark Zuckerberg (Completed)
- Video 2 [05:55] : What is Agentic AI (Completed)
- Video 3 [13:44] : Turning Ideas into Product Design with AI Agents: Demo (Completed)
- Video 4 [09:48] : Manus AI: Demo (Completed)
- Video 5 [10:04] : AI and the Collapse of Time (Completed)
- Reading: From Software to Agentic AI Systems (Completed)
- Video 6 [06:31]: The Leap to Agentic AI (Completed)
- Video 7 [06:49] : Agentic AI vs AI Agents (Completed)
- Video 8 [08:28] : Workflow Redesign of HR Onboarding Process: Case Study (Completed)
- Watch: AI Agents for Shopping (Completed)
- Video 9 [06:44] : Why AI Agents Matter (Completed)
- Video 10 [03:31] : AI Agent Workflow in n8n (Completed)
- Video 11 [04:04] : Future of AI Agents ((Must view in order to complete this module item))
- Self-Study Quiz 3.1. Think & Apply💡 Strategic Leadership in the Age of Agentic AI ((Must submit the Quiz))
- Video 12 [04:20] : Final Thoughts ((Must view in order to complete this module item))
- Self-Study Quiz 3.2: Think & Apply💡Understanding Agentic AI Systems ((Must submit the Quiz))
- Self-Study Assignment 3.3: Think & Act 💡 From Friction to AI Agent Workflow ((Must view in order to complete this module item))
- Reading: The Agent Design Challenge ((Must view in order to complete this module item))
- Self-Study Assignment 3.4: Think & Act💡 Build a Real AI Work Assistant ((Must view in order to complete this module item))
- Discussion Board 3.5: Think & Share 💡 From Tool Usage to AI Partnership ((Not yet completed))
- Summary and Video Transcripts: Module 3 ⭐ ((Must view in order to complete this module item))
- Professor Alvin's Recommendation for Further Learning: Module 3 ((Must view in order to complete this module item))
- Module 3: Q&A Discussion Board ((Not yet completed))
- Module 3: Feedback Survey ((Must submit the Quiz))
In this video, Professor Alvin explains how AI agent workflows operate using n8n, showing how agents combine instructions, reasoning and external tools to complete tasks autonomously. Using a calendar scheduling example, he explains how enterprise-grade AI agents must validate inputs, manage ambiguity, connect safely to external systems and handle failures responsibly. This video highlights that trustworthy AI systems are not built on perfection, but on strong governance, accountability and safe failure design.