Agentic AI for Beginners: Build No-Code AI Agents with n8n

<div>Agentic AI does not have to be complex or intimidating.</div><div><br></div><div>This beginner-friendly course introduces Agentic AI using n8n in a simple, practical, and easy-to-follow way. This course helps you understand the core ideas behind AI agents by building small, understandable workflows step by step.</div><div><br></div><div>The goal of this course is to help you learn how to think in terms of agents and workflows, not just prompts.</div><div><br></div><div>You will start by creating a very simple AI agent and gradually add important concepts such as tool usage, basic retrieval (RAG), human approval flows, quality checks, and safety rules, all using n8n’s visual workflow builder. The examples are intentionally kept small and beginner-friendly.</div><div><br></div><div>No coding, complex math, or deep AI theory is required.</div><div><br></div><div>What You Will Build</div><div><br></div><div>Throughout the course, you will build focused beginner-level examples, including:</div><div><span style="font-size: 1rem;">• A simple AI agent that responds to task assigned by using the provided tools through MCP</span></div><div><span style="font-size: 1rem;">• A basic HR Policy agent that uses Agentic RAG to answer employee queries</span></div><div><span style="font-size: 1rem;">• A Clinical Assistant that helps doctors to automatically pick a specialist ,draft and sent a recommendation email</span></div><div><span style="font-size: 1rem;">• A Human-in-the-Loop that sends the mail only after human approval</span></div><div><span style="font-size: 1rem;">• Simple evaluation workflows to score AI responses for clarity and correctness</span></div><div><span style="font-size: 1rem;">• Basic guardrails to block unsafe or sensitive outputs and route them for human review</span></div><div><br></div><div>Each example is designed to introduce one new concept at a time.</div>

What you'll learn:

• Understand what Agentic AI is and how it is different from traditional chatbots
• Build simple AI agents using n8n’s visual workflow builder
• Use external tools like Google Sheets, Google Drive, and Email inside agent workflows
• Learn the basics of Retrieval-Augmented Generation (RAG) using real documents
• Understand how to make AI answer only from provided context
• Access tools using Model Context Protocol (MCP)
• Build Human-in-the-Loop workflows that require approval before taking action
• Add simple evaluation steps to check AI response quality
• Apply basic guardrails to block unsafe or sensitive outputs
• Learn how to combine multiple steps into beginner-friendly multi-agent workflows
• Gain confidence to explore more advanced agent systems after completing the course