Cursos en esta ruta
n8n Fundamentals
Your entry point into automation with n8n. You learn what n8n is and when it's the right tool, get comfortable with its interface, understand how nodes connect, and build your first working workflow. It covers credentials and connecting external services, reading executions to debug when something breaks, and conditional logic so your flows can make decisions. You finish with an automated welcome project.
64 lecciones
Workflow Design Patterns
When your automations grow, you need patterns. This guide covers advanced triggers, branching and decisions, loops and iteration, merging flows, time-based scheduling, basic error handling, and wait nodes for async flows. It's the jump from "workflows that work" to "workflows that survive production." You finish by building an alerting system.
64 lecciones
Business Integrations
Automate the tools your business already uses. This guide connects n8n with Google Sheets, Gmail, Google Calendar, Slack, Airtable, Notion, HubSpot and Calendly — each module built around real use cases, not toy examples. You learn to read from and write to each service, chain several into a single flow, and finish by building a hub that integrates them all.
64 lecciones
Data Handling for Non-Devs
Data is what makes a workflow useful. This guide teaches you to manipulate it without writing code: understanding data structure in n8n, using expressions and formulas, transforming and mapping fields between services, filtering with conditions, and merging or splitting flows as needed. It includes aggregation to summarize information and closes with a complete data pipeline.
64 lecciones
APIs Without Code
APIs are the gateway to everything n8n doesn't ship natively. This guide teaches you to consume them without writing code: what an API is and how to read its docs, using the HTTP Request node, receiving data via webhooks, authenticating properly, and handling headers, parameters and body. It covers pagination for long lists and real integrations, and closes by connecting an API n8n doesn't support out of the box.
64 lecciones
JavaScript in the n8n Code Node
Learn to write JavaScript inside n8n's Code node with confidence: read and transform items, reference data from other nodes, call external APIs with the right pattern, debug with the replay engine, and decide with judgment when code beats the visual canvas. This guide doesn't teach JavaScript as a general-purpose language — it teaches the subset you actually use inside the Code node, starting from zero if you've never programmed before. It closes with a production-grade workflow: ingesting data through a paginated API, transforming it with `map`/`filter`/`reduce`, defensive code, idempotency, and enrichment with an LLM — documented and ready to defend in an interview or portfolio.
48 lecciones
n8n in Production and Maintenance
By the end you operate automations that other people depend on: you know what turns a workflow into "production" and audit which ones qualify, you handle errors with five layers of defense, you debug what already failed with the replay engine, you set up observability so you can answer "what happened with order 4471?" nine days later, you harden credentials and secrets, you make a slow workflow fast, you control the cost of AI in production, and you leave behind runbooks and an on-call rotation that work even when you're not around. This guide doesn't set up the server: it assumes you already have a running instance — self-hosted or on n8n Cloud — and works on top of what's already running.
64 lecciones
Agent Security And Sandboxing
Learn to secure an agent that takes real actions with tools over a system. This guide covers an agent's threat model, direct and indirect prompt injection, the tool contract and least privilege, sandboxing tool execution, permission models and human-in-the-loop, input and output guardrails, and secrets handling and blast radius. The case that runs through the whole guide is a Reservo agent (a coworking room-booking backend) with tools like `search_rooms`, `book_room`, and `cancel_booking`. You come out knowing how to design an agent that can't be manipulated into causing harm or leaking data, even when the model or the user input is hostile. All the security engineering — the tool validator, the sandbox, the permission gate, the guardrails, the audit log, and the injection demo with its defense — actually runs with Python 3.14 (stdlib); the LLM's decision is presented as a concept, with realistic examples.
64 lecciones
Evaluation Frameworks Guide
Master the evaluation of AI systems — from metrics for chat, RAG, and agents to LLM-as-judge, RAGAS, TruLens, and production evaluation pipelines. Learn to build golden datasets, implement domain-specific evaluation for chatbots, RAG pipelines, and AI agents, automate evaluation with calibrated LLM judges, and deploy continuous monitoring with CI/CD integration and regression detection.
64 lecciones
Cost Optimization & Caching Guide
Master cost reduction for AI systems: understand cost drivers (tokens, API calls, embeddings), implement Redis caching and semantic caching (similar queries = cached responses using embeddings), apply prompt optimization and model selection strategies, and build a system that achieves 50-80% cost reduction with real numbers. The only guide in Spanish that covers semantic caching hands-on.
64 lecciones