Descriptions
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. You will understand the core concepts behind AI agents by building small, manageable workflows step by step. The goal is to help you think in terms of agents and workflows rather than just prompts. Starting with a very simple AI agent, you will gradually explore essential concepts such as tool usage, basic retrieval-augmented generation (RAG), human approval flows, quality checks, and safety rules, all through n8n’s visual workflow builder. The examples are intentionally small and accessible, with no coding, complex mathematics, or in-depth AI theory required. Throughout the course, you will build several practical beginner-level examples: an AI agent that completes assigned tasks using tools provided through the Model Context Protocol (MCP); an HR policy agent that uses Agentic RAG to answer employee questions; a clinical assistant that helps doctors select an appropriate specialist and draft a recommendation email; a Human-in-the-Loop workflow that sends the email only after human approval; evaluation workflows that assess AI responses for clarity and correctness; and guardrails that block unsafe or sensitive outputs and route them for human review. Each example introduces one new concept at a time.
By the end of the course, you will understand what Agentic AI means and how it differs from traditional chatbots, build your first AI agents with n8n, and use tools such as Google Drive, Google Sheets, and email within agent workflows. You will learn the fundamentals of Retrieval-Augmented Generation (RAG), implement vectorization and Agentic RAG using the Pinecone Vector Store, and access tools through the Model Context Protocol (MCP). You will also understand when and why Human-in-the-Loop workflows are important, add simple evaluations to measure AI output quality, create multi-agent workflows, and apply basic guardrails for safer AI behavior. The course is suitable for beginners 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, and anyone seeking a clear, approachable introduction to Agentic AI. Basic knowledge of generative AI is helpful, but no previous background in AI, machine learning, data science, or programming is required.
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
Who this course is for
- Beginners who want to understand Agentic AI in a simple and practical way
- Developers and non-developers who are new to AI agents and workflows
- Automation and no-code enthusiasts exploring AI-powered workflows
- Product managers and business analysts who want to understand how AI agents work
- Anyone who wants a gentle, hands-on introduction to building AI agents with n8n
Specificatoin of Agentic AI for Beginners: Build No-Code AI Agents with n8n
- Publisher : Udemy
- Teacher : Bharath Thippireddy
- Language : English
- Level : Beginner
- Number of Course : 48
- Duration : 2 hours and 33 minutes
Content of Agentic AI for Beginners: Build No-Code AI Agents with n8n
Requirements
- No prior experience with AI or Agentic AI is required
- No machine learning or data science background is needed
- A free or trial account for tools like n8n,PineCone, and Google (setup is shown in the course)
- Access to at least one Large Language Model (LLM), such as OpenAI or Google Gemini (API key required; setup is explained)
- Basic familiarity with automation or workflows is helpful but not mandatory
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720
Download Links
Password file(s): www.downloadly.ir
File size
975 MB