{"product_id":"curso-agentes-ia-n8n-rag-mcp-automatizacion-inteligente","title":"AI Agents with n8n: RAG, MCP, and Intelligent Automation","description":"\u003cp\u003e\u003cstrong\u003eLevel:\u003c\/strong\u003e Intermediate–advanced\u003cbr\u003e\u003cstrong\u003eRequirements:\u003c\/strong\u003e Basic n8n knowledge. No in-depth AI knowledge required.\u003c\/p\u003e\n\u003cp\u003eThis would be the course with the most commercial potential.\u003c\/p\u003e\n\u003ch3\u003eUnit 1. Generative AI applied to automation\u003c\/h3\u003e\n\u003cul\u003e\n\n\u003cli\u003eGenerative AI and LLMs.\u003c\/li\u003e\n\n\u003cli\u003eHow a language model works.\u003c\/li\u003e\n\n\u003cli\u003eTokens.\u003c\/li\u003e\n\n\u003cli\u003eContext.\u003c\/li\u003e\n\n\u003cli\u003ePrompts.\u003c\/li\u003e\n\n\u003cli\u003eTemperature and parameters.\u003c\/li\u003e\n\n\u003cli\u003eStructured Outputs.\u003c\/li\u003e\n\n\u003cli\u003eModels from OpenAI, Anthropic, Google, and other providers.\u003c\/li\u003e\n\n\u003cli\u003eTraditional automation vs. AI-powered automation.\u003c\/li\u003e\n\n\u003cli\u003eWhen to use AI and when not to.\u003c\/li\u003e\n\n\u003cli\u003eCosts and limitations.\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePractice:\u003c\/strong\u003e Automatically classify and process information using an LLM.\u003c\/p\u003e\n\u003ch3\u003eUnit 2. Creating workflows with AI\u003c\/h3\u003e\n\u003cul\u003e\n\n\u003cli\u003en8n AI nodes.\u003c\/li\u003e\n\n\u003cli\u003eChat models.\u003c\/li\u003e\n\n\u003cli\u003ePrompt templates.\u003c\/li\u003e\n\n\u003cli\u003eStructured Output Parser.\u003c\/li\u003e\n\n\u003cli\u003eClassification.\u003c\/li\u003e\n\n\u003cli\u003eInformation extraction.\u003c\/li\u003e\n\n\u003cli\u003eSummarization.\u003c\/li\u003e\n\n\u003cli\u003eContent generation.\u003c\/li\u003e\n\n\u003cli\u003eDocument analysis.\u003c\/li\u003e\n\n\u003cli\u003eEmail processing.\u003c\/li\u003e\n\n\u003cli\u003eSentiment analysis.\u003c\/li\u003e\n\n\u003cli\u003eIntegrating AI into traditional workflows.\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePractice:\u003c\/strong\u003e Create an intelligent system to automatically process customer emails.\u003c\/p\u003e\n\u003ch3\u003eUnit 3. AI Agents in n8n\u003c\/h3\u003e\n\u003cul\u003e\n\n\u003cli\u003eWhat is an agent?\u003c\/li\u003e\n\n\u003cli\u003eDifference between chatbot and agent.\u003c\/li\u003e\n\n\u003cli\u003eAI Agent.\u003c\/li\u003e\n\n\u003cli\u003eModel.\u003c\/li\u003e\n\n\u003cli\u003eMemory.\u003c\/li\u003e\n\n\u003cli\u003eTools.\u003c\/li\u003e\n\n\u003cli\u003eCustom tools.\u003c\/li\u003e\n\n\u003cli\u003eUsing APIs as tools.\u003c\/li\u003e\n\n\u003cli\u003eAgents that perform actions.\u003c\/li\u003e\n\n\u003cli\u003eHuman-in-the-loop.\u003c\/li\u003e\n\n\u003cli\u003eLimits and permissions.\u003c\/li\u003e\n\n\u003cli\u003eDesigning secure agents.\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePractice:\u003c\/strong\u003e Create an agent that queries information and executes actions in external applications.\u003c\/p\u003e\n\u003ch3\u003eUnit 4. RAG and business knowledge\u003c\/h3\u003e\n\u003cul\u003e\n\n\u003cli\u003eThe problem of LLM knowledge.\u003c\/li\u003e\n\n\u003cli\u003eWhat is RAG?\u003c\/li\u003e\n\n\u003cli\u003eEmbeddings.\u003c\/li\u003e\n\n\u003cli\u003eChunking.\u003c\/li\u003e\n\n\u003cli\u003eVector databases.\u003c\/li\u003e\n\n\u003cli\u003eVector stores.\u003c\/li\u003e\n\n\u003cli\u003eDocument ingestion.\u003c\/li\u003e\n\n\u003cli\u003ePDF, Word, web, and other sources.\u003c\/li\u003e\n\n\u003cli\u003eSemantic retrieval.\u003c\/li\u003e\n\n\u003cli\u003eRetriever.\u003c\/li\u003e\n\n\u003cli\u003eGeneration based on corporate documents.\u003c\/li\u003e\n\n\u003cli\u003eKnowledge updates.\u003c\/li\u003e\n\n\u003cli\u003eResponse evaluation.\u003c\/li\u003e\n\n\u003cli\u003eReducing hallucinations.\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePractice:\u003c\/strong\u003e Create an assistant that responds using internal documentation.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003eUnit 5. MCP and external tools\u003c\/h2\u003e\n\u003cul\u003e\n\n\u003cli\u003eWhat is Model Context Protocol?\u003c\/li\u003e\n\n\u003cli\u003eClient-server architecture.\u003c\/li\u003e\n\n\u003cli\u003eMCP Client.\u003c\/li\u003e\n\n\u003cli\u003eMCP Server.\u003c\/li\u003e\n\n\u003cli\u003eTools.\u003c\/li\u003e\n\n\u003cli\u003eResources.\u003c\/li\u003e\n\n\u003cli\u003eExposing tools through MCP.\u003c\/li\u003e\n\n\u003cli\u003eUsing external services from agents.\u003c\/li\u003e\n\n\u003cli\u003en8n as a consumer and provider of tools.\u003c\/li\u003e\n\n\u003cli\u003eSecurity and permissions.\u003c\/li\u003e\n\n\u003cli\u003eBusiness cases for MCP.\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePractice:\u003c\/strong\u003e Connect an agent with external tools using MCP.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003eUnit 6. Advanced agent architectures\u003c\/h2\u003e\n\u003cul\u003e\n\n\u003cli\u003eDeterministic workflows + agents.\u003c\/li\u003e\n\n\u003cli\u003eWhen to use each approach.\u003c\/li\u003e\n\n\u003cli\u003eSpecialized agents.\u003c\/li\u003e\n\n\u003cli\u003eAgents with multiple tools.\u003c\/li\u003e\n\n\u003cli\u003eOrchestrators.\u003c\/li\u003e\n\n\u003cli\u003eRouting.\u003c\/li\u003e\n\n\u003cli\u003eMulti-agent architectures.\u003c\/li\u003e\n\n\u003cli\u003eShort and long-term memory.\u003c\/li\u003e\n\n\u003cli\u003eConversation state.\u003c\/li\u003e\n\n\u003cli\u003eSubworkflows as tools.\u003c\/li\u003e\n\n\u003cli\u003eAgents that call other processes.\u003c\/li\u003e\n\n\u003cli\u003eExecution of complex business processes.\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003ePractice:\u003c\/strong\u003e Create several specialized agents coordinated from n8n.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003eUnit 7. Production, security, and governance of AI agents\u003c\/h2\u003e\n\u003cp\u003eThis part seems especially important to differentiate a professional course from a YouTube one.\u003c\/p\u003e\n\u003cul\u003e\n\n\u003cli\u003ePrompt injection.\u003c\/li\u003e\n\n\u003cli\u003eImproper access to tools.\u003c\/li\u003e\n\n\u003cli\u003eInformation protection.\u003c\/li\u003e\n\n\u003cli\u003ePersonal data.\u003c\/li\u003e\n\n\u003cli\u003eCredentials.\u003c\/li\u003e\n\n\u003cli\u003eLimiting agent actions.\u003c\/li\u003e\n\n\u003cli\u003eHuman approval.\u003c\/li\u003e\n\n\u003cli\u003eAuditing.\u003c\/li\u003e\n\n\u003cli\u003eLogging.\u003c\/li\u003e\n\n\u003cli\u003eError management.\u003c\/li\u003e\n\n\u003cli\u003eTimeouts.\u003c\/li\u003e\n\n\u003cli\u003eCost control.\u003c\/li\u003e\n\n\u003cli\u003eToken consumption.\u003c\/li\u003e\n\n\u003cli\u003eResult evaluation.\u003c\/li\u003e\n\n\u003cli\u003eTesting AI workflows.\u003c\/li\u003e\n\n\u003cli\u003eObservability.\u003c\/li\u003e\n\n\u003cli\u003eMonitoring.\u003c\/li\u003e\n\n\u003cli\u003eBest practices for bringing agents to production.\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003ch3\u003eFinal project\u003c\/h3\u003e\n\u003cp\u003eBuild a \u003cstrong\u003ecomplete business agent\u003c\/strong\u003e that:\u003c\/p\u003e\n\u003col\u003e\n\n\u003cli\u003ereceives a request;\u003c\/li\u003e\n\n\u003cli\u003eidentifies the intent;\u003c\/li\u003e\n\n\u003cli\u003econsults documentation using RAG;\u003c\/li\u003e\n\n\u003cli\u003euses tools or APIs;\u003c\/li\u003e\n\n\u003cli\u003eexecutes an action via n8n;\u003c\/li\u003e\n\n\u003cli\u003erequests human authorization for sensitive actions;\u003c\/li\u003e\n\n\u003cli\u003elogs the result.\u003c\/li\u003e\n\n\n\u003c\/ol\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Nanfor","offers":[{"title":"Virtual - 100 hs","offer_id":58613076099404,"sku":null,"price":695.0,"currency_code":"EUR","in_stock":true},{"title":"Virtual bonificada - 110 hs","offer_id":58739768328524,"sku":null,"price":855.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0932\/9890\/files\/n8n.webp?v=1788803873","url":"https:\/\/nanfor.com\/en\/products\/curso-agentes-ia-n8n-rag-mcp-automatizacion-inteligente","provider":"Nanfor","version":"1.0","type":"link"}