In this course, you will learn how to build intelligent automations with n8n and integrate AI agents into complete workflows, without the need for programming. We will explore how to connect services, generate automated responses with AI, and implement LLMs (Large Language Models) in practical projects such as customer support chatbots, automated reports, and sentiment analysis.
In the introduction, you will get to know the n8n ecosystem and its core concepts, understand the differences between the Cloud and Self-hosted, learn when to use each one, how to configure them on a hosting environment, and how to install n8n locally with Docker to use it without limitations on your own computer and at no cost. You will also explore the most popular services available for integration.
In the fundamentals section, you will learn how to create workflows using triggers and nodes, configure parameters, connections, expressions, JSON, and metadata. You will also work with decision-making structures such as IF, Switch, and loops. In the integrations section, we will explore Google Sheets, Gmail, and other services, as well as webhooks, HTTP requests, and REST APIs to extend your workflows and connect them to the real-world.
For the Generative AI section, you will learn how to connect n8n to modern LLMs (Llama, DeepSeek, Gemini, ChatGPT, and others), generate automated responses within workflows, create assistants for email, support, and marketing, and take your first steps with autonomous agents by combining AI and automation.
During the practical projects phase, you will build real-world examples to solve modern problems: you will develop an AI agent for automated customer support via Telegram, build a reporting automation combining AI + spreadsheets + email, learn how to use RAG to create an efficient document-based FAQ chatbot for a company, implement sentiment analysis with a database, and explore tips and hacks to further enhance your workflows.
Finally, we will cover advanced and scalable workflow features, including how to use sub-workflows for modularization and reuse, advanced scheduling, retries, and error handling, as well as integrations with databases (PostgreSQL, MySQL) and complex workflows that involve AI-powered image analysis and generation.
Get ready to transform your ideas into modern solutions with n8n and generative AI!
