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

Agentic AI does not have to be complex or intimidating. 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. The goal of this course is to help you learn how to think in terms of agents and workflows, not just prompts. 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. No coding, complex math, or deep AI theory is required. ⸻ What You Will Build Throughout the course, you will build focused beginner-level examples, including: • A simple AI agent that responds to task assigned by using the provided tools through MCP • A basic HR Policy agent that uses Agentic RAG to answer employee queries • A Clinical Assistant that helps doctors to automatically pick a specialist ,draft and sent a recommendation email • A Human-in-the-Loop that sends the mail only after human approval • Simple evaluation workflows to score AI responses for clarity and correctness • Basic guardrails to block unsafe or sensitive outputs and route them for human review Each example is designed to introduce one new concept at a time. ⸻ What You Will Learn By the end of this course, you will be able to: • Understand what Agentic AI means in simple terms • Understand the difference between chatbots and agents • Build your first AI agents using n8n • Use tools such as Google Drive, Google Sheets, and Email inside agent workflows • Understand the basics of Retrieval-Augmented Generation (RAG) • Implement Vectorization and Agentic RAG using PineCone Vector Store • Access tools using Model Context Protocol (MCP) • Learn when and why Human-in-the-Loop workflows are important • Add simple evaluations to measure AI output quality         • Create Multi Agent Workflows • Apply basic guardrails for safer AI behavior ⸻ Who This Course Is For This course is ideal for: • Beginners who are curious about creating AI agents • Developers and non-developers new to Agentic AI • Automation and no-code or low-code learners • Product managers exploring AI workflows • Anyone looking for a clear and gentle introduction to Agentic AI ⸻ Prerequisites • Basic GenAI knowledge • No prior AI, machine learning, or data science background required • No programming experience required