Overview

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Your AI workflows can become more connected, intelligent, and ready for real-world use. This hands-on course introduces how to build AI agents with n8n, a workflow automation platform that helps connect AI models, business applications, APIs, triggers, memory, RAG pipelines, and multi-agent systems without requiring complex development from scratch. The course begins with the foundations of agentic AI, no-code automation, and workflow-based design. You will explore how n8n uses nodes, triggers, actions, connections, data flow, and execution modes to automate tasks and coordinate AI-powered processes. As you progress, you will build practical workflows that combine LLMs, prompts, structured outputs, tools, memory, and document-based retrieval. You will also learn how to create knowledge agents using RAG, embeddings, vector stores, and document retrieval techniques. The course then moves into advanced workflow design, including business process automation, multi-agent orchestration, sub-workflows, MCP integrations, webhooks, monitoring, error handling, deployment, scaling, and cost optimization. These topics help you understand how AI automation can move from simple experiments to more reliable, production-ready systems. By the end of this course, you will be able to: - Describe the fundamentals of agentic AI, no-code automation, and n8n-based workflow systems. - Explain how nodes, triggers, actions, connections, and execution modes support workflow automation. - Build AI-powered workflows using LLM integrations, prompt design, structured outputs, tools, and memory. - Create knowledge-based AI agents using RAG, embeddings, vector stores, and document retrieval. - Design scalable AI automation workflows using multi-agent patterns, MCP, webhooks, monitoring, error handling, deployment, and optimization practices. This course is designed for beginners and early-career professionals who want to build practical AI automation solutions using n8n. It is especially useful for business analysts, automation builders, no-code developers, AI enthusiasts, operations professionals, and learners interested in applying AI agents to real business workflows. Enroll now to learn how to build AI agents with n8n, practice with real workflow scenarios, and gain confidence in designing intelligent, scalable, and business-ready AI automation systems.

Syllabus

Foundations of Agentic AI and n8n Automation

Explore the world of intelligent workflow building with n8n, where agentic AI and no-code automation come together to create connected, responsive systems. Learners will understand how workflows use nodes, triggers, actions, connections, and data flow to automate tasks, while also getting hands-on with LLM integration, prompt design, output parsing, and their first AI-powered automation workflow.

RAG, Memory, and Intelligent AI Agents

Build smarter AI agents that can remember context, use tools, retrieve information, and support real business workflows. Learners will explore how memory systems, embeddings, vector stores, and retrieval-augmented generation help agents work with information more effectively. They will also connect agents with tools such as Gmail, Slack, Notion, and Google Sheets to automate practical, business-focused tasks.

Advanced Agentic Patterns and Production

Master advanced AI automation with n8n by building workflows that are connected, resilient, and ready to scale. Learners will explore multi-agent coordination, sub-workflows, supervisory agent designs, MCP integrations, webhooks, and external system connectivity. The module also covers deployment through n8n Cloud, Docker, and Kubernetes, along with monitoring, error handling, workflow reliability, versioning, scaling, and cost optimization.

Course Wrap-Up and Assessment

Consolidate the complete no-code Agentic AI automation journey by applying n8n concepts to design, evaluate, and present scalable AI automation workflows through final assessments, reflection activities, and a practical project.