What You Will Learn

AI has shifted from an interesting possibility to a practical tool that shapes daily work in subtle but powerful ways. To use it effectively, you need more than surface-level familiarity—you need to understand what's happening underneath, where the value comes from and how to put it to work in real workflows. This course gives you that clarity. With an instructor who brings more than 30 years of real industry practice, you'll explore modern AI concepts and build a functional RAG system in n8n, learning the same techniques teams use to automate knowledge across organisations.

Course Objectives

• Understand and articulate the core concepts of AI, machine learning, large language models and their business relevance.
• Explain how AI systems work under the hood (data, models, inference, feedback loops, risks).
• Set up and navigate n8n's interface, nodes and workflow design.
• Design and build a basic RAG system (ingestion, embedding, retrieval, generation) within n8n.
• Apply best-practices around data sources, vector stores, prompting, and evaluation of AI workflows.
• Critically assess a workflow's performance, identify gaps, and iterate improvements.
• Demonstrate their learning via a capstone project: building a small operational workflow in n8n and reflecting on lessons.

Methodology

This program will be conducted via highly interactive conceptual lectures, step-by-step technical platform implementation sessions, hands-on framework deployment, systemic diagnostics, and an operational capstone development review.

Course Contents

• Module 1: AI Awareness, How It Works & What's Under the Hood
• Module 2: Tool Overview & Getting Started with n8n
• Module 3: Building a Basic Retrieval-Augmented Generation (RAG) Workflow in n8n - Part 1
• Module 4: Building a RAG Workflow in n8n - Part 2 (Retrieval & Generation, Evaluation)
• Module 5: Review, Capstone & Way Forward