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

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

ProviderUdemy
Duration2.5 total hours
PricePaid
#AI#Udemy

About this Course

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 BuildThroughout 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 reviewEach example is designed to introduce one new concept at a time.⸻What You Will LearnBy 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

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