Build AI Agents with n8n
Master autonomous AI agents and workflow automation with n8n, LangChain nodes, multi-tool orchestration, and real-world integrations.
Modules
1.AI Agents Architecture & Concepts
Understand autonomous systems, LLM reasoning loops, tool-calling paradigms, and how n8n powers agentic workflows
2.n8n Setup & Workflow Fundamentals
Install and run n8n via Docker or Cloud, master data structures, execution context, and build your first automation
3.Advanced Nodes & Tooling Ecosystem
Work with templates, inspect execution pipelines, generate custom nodes, and integrate Notion as a structured database
4.Capstone Project: Executive AI Assistant
Build an end-to-end autonomous executive assistant combining Google Calendar, OpenWeatherMap, SerpAPI, Gmail, and Telegram
- 14. Capstone Overview: Executive AI Assistant
- 15. Generating Mock Calendar Data
- 16. Adding the Chat Trigger Node
- 17. Configuring the AI Agent Node and Memory
- 18. Swapping LLM Brains: OpenAI, Claude, and Gemini
- 19. Integrating the Google Calendar Tool
- 20. Injecting Dynamic Date and Time Context
- 21. Integrating the OpenWeatherMap Tool
- 22. Enabling Web Search with SerpAPI
- 23. Adding the Gmail Tool for Daily Reports
- 24. Adding Telegram Bot for Mobile Alerts
- 25. Production Automation: Scheduling, Monitoring, and Error Handling
Course Objective
In this course, you will learn how to transition from traditional deterministic automation to autonomous AI agents using n8n. By the end of this course, you will build and deploy a production-grade Executive AI Assistant that queries your calendar, fetches real-time weather and web research, reasons over your schedule, and dispatches executive summaries to Gmail and Telegram.
Course Overview
Traditional automation tools execute static if-this-then-that scripts. AI agents introduce a dynamic reasoning loop: they observe incoming context, determine which tools to call, inspect tool responses, and iterate until the objective is accomplished. n8n provides a visual orchestration canvas that bridges enterprise APIs with modern LangChain nodes and Large Language Models.
Course Progress
25 lessonsPrerequisites
Web APIs & JSON Docker or n8n Cloud LLM API KeyYou should be comfortable with basic web concepts like HTTP requests, query parameters, and JSON payloads. No prior Python or JavaScript coding experience is required, though basic familiarity with scripting is helpful for advanced custom nodes.
Course Structure
The curriculum is divided into four sequential modules:
- Foundations & Architecture: Learn how AI agents differ from classic workflows, how ReAct loops operate, and how memory and tools interact.
- n8n Environment & Core Nodes: Set up a self-hosted Docker instance or n8n Cloud workspace, master item lists and data transformations, and build foundational automations.
- Advanced Integration & Data Modeling: Leverage community templates, build custom JavaScript logic, and integrate Notion as a persistent document store.
- Capstone Build: Connect LangChain agent nodes to OpenAI or Claude, integrate Google Calendar, OpenWeatherMap, SerpAPI search, and automate delivery over Gmail and Telegram.