n8n AI Agents Course: RAG, MCP, and Intelligent Automation | n8n and Artificial Intelligence
n8n is an automation platform that allows for the integration of applications, processes, and services through visual workflows. Combined with artificial intelligence technologies, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP), n8n becomes a tool capable of building intelligent agents that interact with data, documents, business applications, and external services autonomously.
Organizations use n8n-based AI agents to automate complex tasks, query corporate knowledge bases, optimize operations, assist employees and customers, and improve decision-making through contextual information. These capabilities have direct applications in departments such as customer service, human resources, marketing, sales, technical support, and document management.
This n8n and artificial intelligence course allows you to learn how to design agents connected to language models, business information sources, and corporate tools using RAG, MCP, and automation flows. Participants will develop practical cases aimed at solving real-world productivity and intelligent automation needs.
Additionally, this training is eligible for FUNDAE funding for companies that meet the established requirements, facilitating training in AI agents, advanced automation, and the integration of artificial intelligence into business processes.
This course is the most advanced level in the Nanfor n8n training family: if you are just starting out, we recommend the n8n Course: Process Automation and Integrations; or if you already have experience with workflows, first access the Advanced n8n Course: APIs, Webhooks, and Business Automation.
Course Overview
The n8n AI Agents: RAG, MCP, and Intelligent Automation course is designed for professionals who want to learn how to build intelligent agents capable of interacting with business applications, documents, knowledge bases, and state-of-the-art language models.
During the training, participants will learn how to use n8n as an orchestration platform to integrate artificial intelligence into business processes, connecting different systems through automated workflows. The program covers fundamental and advanced concepts related to AI agents, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), and intelligent automation.
The training has a highly practical focus, allowing you to design conversational assistants, automate information query and analysis processes, integrate real-time corporate data, and create agents capable of executing actions across multiple platforms. Students will work with use cases applicable to operations, support, human resources, marketing, and sales departments.
By the end of the course, participants will be prepared to design, implement, and maintain artificial intelligence agents connected to business systems, leveraging n8n as an automation and integration platform for professional and corporate scenarios.
What Nanfor courses include
At Nanfor, we offer a comprehensive training experience that combines quality educational material, expert guidance, and our own learning platform, adapted for both individual and corporate training.
All our courses include official and supplementary educational material, practical activities, learning assessments, forums, a virtual advisor, progress tracking, and personalized academic support throughout the training, in addition to a certificate of completion.
Learn about all the components
Advantages of training in n8n, RAG, MCP, and AI Agents
- Learn to build artificial intelligence agents capable of querying information, making decisions, and executing actions within business processes.
- Integrate language models from providers such as OpenAI, Anthropic, and Google into automated workflows via n8n.
- Design solutions based on RAG (Retrieval-Augmented Generation) to utilize corporate documentation, knowledge bases, and up-to-date business content.
- Understand how AI agents actually work and when to use them instead of traditional automations.
- Create intelligent assistants capable of processing emails, analyzing documents, and automating complex business tasks.
- Implement architectures based on MCP (Model Context Protocol) to connect agents with external tools, applications, and services.
- Develop agents that interact with APIs, databases, and corporate systems to execute processes autonomously.
- Learn to design secure agents using permission controls, human-in-the-loop approval, and protection against risks associated with generative AI.
- Build multi-agent architectures capable of coordinating complex business processes through different specializations and tools.
- Apply professional practices of observability, auditing, monitoring, and cost control to take AI agents into real production environments.
- Acquire unique knowledge that goes beyond creating chatbots, focusing on business agents with action and integration capabilities.
- Prepare for one of the fastest-growing fields in intelligent automation and digital business transformation.
Prerequisites
To make the most of this training, it is recommended that participants have:
- Basic knowledge of n8n and prior experience in creating workflows and simple automations.
- General understanding of integrations between applications, business processes, and task automation.
- Interest in artificial intelligence applied to business, intelligent automation, and digital transformation.
- Basic familiarity with business tools such as CRMs, productivity platforms, forms, document managers, or databases.
- Deep knowledge of artificial intelligence, language models, or data science is not necessary, as these concepts are explained during the training.
- Advanced programming experience is not required, although having basic knowledge of APIs or process logic may facilitate the understanding of some scenarios.
- An equivalent level to the n8n fundamentals course is recommended to more easily follow the advanced content related to AI agents, RAG, and MCP.
General course information
Who is this n8n and Artificial Intelligence course for?
This course is aimed at professionals who want to design artificial intelligence agents capable of interacting with business data, applications, and processes using n8n as an automation and integration platform.
- Innovation and digital transformation managers.
- Automation and artificial intelligence consultants.
- Business productivity specialists.
- Operations and process improvement professionals.
- Support and customer service teams.
- Corporate knowledge and document management managers.
- Marketing, sales, and HR professionals interested in intelligent automation.
- n8n users who want to incorporate artificial intelligence capabilities into their workflows.
- Business analysts and solution architects.
- Professionals interested in AI agents, RAG, MCP, and intelligent automation applied to corporate environments.
Training objectives: What will you learn?
Upon completion of this training, you will be able to design, implement, and deploy artificial intelligence agents connected to business tools, document bases, and corporate systems using n8n, RAG, and MCP.
- Understand the fundamentals of generative artificial intelligence and Large Language Models (LLMs).
- Work with AI providers such as OpenAI, Anthropic, Google, and other compatible services.
- Design intelligent workflows using n8n AI nodes.
- Implement processes for classification, analysis, information extraction, and content generation using AI.
- Create agents capable of querying information and executing actions on external applications.
- Understand the difference between chatbots, assistants, and intelligent agents.
- Design agents with memory, tools, and reasoning capabilities geared toward business tasks.
- Implement RAG solutions to use corporate documentation and up-to-date knowledge bases.
- Work with embeddings, semantic retrieval, vector stores, and hallucination reduction.
- Use Model Context Protocol (MCP) to connect agents with external tools and services.
- Build multi-agent architectures and more complex intelligent automation systems.
- Apply mechanisms for security, human authorization, auditing, observability, and AI agent governance.
- Prepare artificial intelligence solutions for real business and production environments.
n8n AI Agents Course: RAG, MCP, and Intelligent Automation – Program
Unit 1. Generative AI applied to automation
- Generative AI and LLMs.
- How a language model works.
- Tokens.
- Context.
- Prompts.
- Temperature and parameters.
- Structured Outputs.
- OpenAI, Anthropic, Google, and other providers' models.
- Traditional automation vs. AI-powered automation.
- When to use AI and when not to.
- Costs and limitations.
Practice: automatically classify and process information using an LLM.
Unit 2. Creating workflows with AI
- n8n AI nodes.
- Chat models.
- Prompt templates.
- Structured Output Parser.
- Classification.
- Information extraction.
- Summarization.
- Content generation.
- Document analysis.
- Email processing.
- Sentiment analysis.
- AI integration into traditional workflows.
Practice: create an intelligent system to automatically process customer emails.
Unit 3. AI Agents in n8n
- What is an agent?
- Difference between a chatbot and an agent.
- AI Agent.
- Model.
- Memory.
- Tools.
- Custom tools.
- Using APIs as tools.
- Agents that execute actions.
- Human-in-the-loop.
- Limits and permissions.
- Designing secure agents.
Practice: create an agent that queries information and executes actions in external applications.
Unit 4. RAG and corporate knowledge
- LLM knowledge limitation.
- What is RAG?
- Embeddings.
- Chunking.
- Vector databases.
- Vector stores.
- Document ingestion.
- PDF, Word, web, and other sources.
- Semantic retrieval.
- Retriever.
- Generation based on corporate documentation.
- Knowledge updating.
- Response evaluation.
- Reducing hallucinations.
Practice: create an assistant that answers using internal documentation.
Unit 5. MCP and external tools
- What is Model Context Protocol?
- Client-server architecture.
- MCP Client.
- MCP Server.
- Tools.
- Resources.
- Exposing tools via MCP.
- Using external services from agents.
- n8n as a consumer and provider of tools.
- Security and permissions.
- Business cases for MCP.
Practice: connect an agent to external tools via MCP.
Unit 6. Advanced agent architectures
- Deterministic workflows + agents.
- When to use each approach.
- Specialized agents.
- Agents with multiple tools.
- Orchestrators.
- Routing.
- Multi-agent architectures.
- Short and long-term memory.
- Conversation state.
- Sub-workflows as tools.
- Agents that call other processes.
- Executing complex business processes.
Practice: create multiple specialized agents coordinated from n8n.
Unit 7. Production, security, and AI agent governance
This part is especially important for distinguishing a professional course from YouTube tutorials.
- Prompt injection.
- Unauthorized access to tools.
- Information protection.
- Personal data.
- Credentials.
- Limiting agent actions.
- Human approval.
- Auditing.
- Logging.
- Error management.
- Timeouts.
- Cost control.
- Token consumption.
- Result evaluation.
- Testing AI workflows.
- Observability.
- Monitoring.
- Best practices for taking agents to production.
Final Project
Build a complete business agent that:
- receives a request;
- identifies the intent;
- queries documentation using RAG;
- uses tools or APIs;
- executes an action via n8n;
- requests human authorization for sensitive actions;
- logs the result.
Language
Spanish
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If you want to take this course in in-person or live-online mode, please contact us:
Why choose Nanfor as your specialized IT training center?
Nanfor is a specialized IT training center with extensive experience in technological training for professionals and companies. Our programs combine up-to-date content, a practical approach, and expert guidance to facilitate the real-world application of knowledge in the workplace.
- Expert tutors with real-world experience in projects, technologies, and professional certifications.
- Personalized academic support throughout the training to track student progress.
- Practical methodologies based on real cases and scenarios applicable to the workplace.
- Proprietary learning platform with resources, activities, assessments, and continuous monitoring.
- Training aligned with current technological trends and organizational needs.
- Flexible learning modalities: online, in-person, and telepresence.
- Experience in corporate training programs and digital talent development.
Frequently asked questions about the course
What are AI agents with n8n and what are they used for in companies?
AI agents with n8n are systems capable of combining language models, automation, and application integration to query information, make decisions, and execute actions. Companies use AI agents with n8n to automate processes, improve productivity, and support decision-making based on corporate knowledge.
What distinguishes AI agents with n8n from a traditional chatbot?
AI agents with n8n can use tools, access documentation, interact with APIs, and execute actions on enterprise systems. Unlike a conventional chatbot, AI agents with n8n can actively participate in business processes and intelligent automation.
What are RAG and MCP within an AI agents project with n8n?
RAG allows AI agents with n8n to consult up-to-date documentation and business knowledge before responding. MCP allows AI agents with n8n to connect to external tools, resources, and services in a standardized way to expand their operational capabilities.
Is the AI Agents with n8n course eligible for FUNDAE funding?
Yes. This AI Agents with n8n course can be subsidized through FUNDAE for companies that meet the established requirements. This facilitates training in applied artificial intelligence, intelligent automation, and corporate digital transformation.
How long does the AI Agents with n8n course last and how long will I have access?
The duration and access period for the AI Agents with n8n course are indicated on the course sheet. During that time, participants can access content, perform practical activities, and consult the resources available in the Nanfor virtual classroom.
Is the AI Agents with n8n course included in Nanfor's LaaS?
Yes. The AI Agents with n8n course is part of Nanfor's LaaS (Annual Continuous Training License), allowing professionals and companies to access up-to-date training on intelligent automation, AI agents, and emerging technologies.
Do I need advanced knowledge of artificial intelligence to take the AI Agents with n8n course?
No. The AI Agents with n8n course is designed for professionals with basic knowledge of n8n. Concepts related to language models, RAG, MCP, and intelligent agents are developed progressively throughout the training.
What will I learn about language models in this AI Agents with n8n course?
In this AI Agents with n8n course, you will learn to work with models from OpenAI, Anthropic, Google, and other compatible providers. You will also understand concepts such as prompts, context, tokens, generation parameters, and structured outputs.
How are AI agents with n8n applied in daily work?
AI agents with n8n can be used to process emails, answer internal queries, analyze documents, access knowledge bases, automate operational tasks, and coordinate complex business processes between different applications.
Does this AI Agents with n8n course address security and artificial intelligence governance aspects?
Yes. The AI Agents with n8n course includes content on prompt injection, permission control, data protection, auditing, monitoring, cost control, and best security practices for deploying AI solutions in enterprise environments.
Will I be able to create production-ready AI agents with n8n?
Yes. The AI Agents with n8n course covers advanced architectures, observability, error handling, human-in-the-loop, use of external tools, and best practices that allow for the construction of agents prepared for real business scenarios.
