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Build AI Agents with n8n · LearnSpace
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courseraПрограммирование

Build AI Agents with n8n

Курс от Edureka
Начальный≈ 9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Workflow ManagementAI IntegrationsAgentic WorkflowsRetrieval-Augmented GenerationAI WorkflowsAutomationGoogle WorkspaceEmail AutomationNo-Code DevelopmentApplication DeploymentGenerative AI AgentsContent ManagementArtificial IntelligenceAI OrchestrationLLM ApplicationAgentic systemsPrompt EngineeringPrompt PatternsLarge Language ModelingDocker (Software)

Программа курса

4 модулей · 65 учебных материалов

01Foundations of Agentic AI and n8n Automation21 материалов

Introduction to Agentic AI Automation

Course IntroductionВидеоCourse SyllabusЧтениеWhat is Agentic AI?ВидеоIntroduction to n8nВидео

Учитесь у экспертов

Edureka

Преподаватель курса

Build AI Agents with n8n
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 9 ч

4 модулей

Язык: Английский

Часть программы вашего университета
Getting Started with Self-Hosted n8n Using DockerВидео
Getting Started with n8n CloudЧтение
Practice Assignment: Introduction to Agentic AI AutomationЗадание

Getting Started with n8n Workflows

n8n Core ConceptsВидеоTriggers, Actions and Workflow Execution ModesВидеоSetting Up Google API Credentials for n8n WorkflowsВидеоUnderstanding the Google OAuth Consent ScreenЧтениеPractice Assignment: Getting Started with n8n WorkflowsЗадание

Building Your First AI Agent Workflow

n8n AI Agent NodeВидеоThe Agentic AI LandscapeВидеоPrompt Design and Output Parsing for AI AgentsВидеоBuilding an AI Content Generation Agent with the AI Agent NodeВидеоAI-Powered Social Media Post Generator with SchedulingВидеоUnderstanding LLM Capabilities and Limitations in AI AgentsЧтениеPractice Assignment: Building Your First AI Agent WorkflowЗадание

Module Wrap-Up and Assessment

Module Summary: Foundations of Agentic AI and n8n AutomationЧтениеKnowledge Check: Foundations of Agentic AI and n8n AutomationЗадание
02RAG, Memory, and Intelligent AI Agents19 материалов

AI Agent Tools and Memory Systems

Equipping AI Agents with ToolsВидеоAgent MemoryВидеоBuilding a Conversational AI Agent with MemoryВидеоDesigning Reliable AI Agents: Permissions, Boundaries, and Safe Tool UseЧтениеPractice Assignment: AI Agent Tools and Memory SystemsЗадание

Building RAG-Powered Knowledge Agents

Fundamentals of RAGВидеоn8n Vector Store and Document Loader NodesВидеоBuilding a RAG Knowledge Base in n8nВидеоCreating a RAG-Powered Document Q&A Agent in n8nВидеоImproving RAG Quality with Chunking and Retrieval DesignЧтениеPractice Assignment: Building RAG-Powered Knowledge AgentsЗадание

AI Agents for Business Process Automation

Designing Multi-Step AI Workflows for BusinessВидеоBuilding an AI Email Triage and Auto-Response AgentВидеоAutomated Data Analysis and Report Generation WorkflowВидеоChoosing the Right Business Processes for AI AutomationЧтениеPractice Assignment: AI Agents for Business Process AutomationЗадание

Module Wrap-Up and Assessment

Module Summary: RAG, Memory, and Intelligent AI AgentsЧтениеReflecting on Intelligent Workflow Design with n8nDIALOGUEKnowledge Check: RAG, Memory, and Intelligent AI AgentsЗадание
03Advanced Agentic Patterns and Production 21 материалов

Multi-Agent Orchestration and Sub-Workflows

Multi-Agent Architecture Patterns in n8nВидеоSub-Workflows as Agent Tools ВидеоBuilding a Multi-Agent Content PipelineВидеоBuilding a Supervisory Agent Pattern Workflow ВидеоDesigning Coordination Rules for Multi-Agent WorkflowsЧтениеPractice Assignment: Multi-Agent Orchestration and Sub-WorkflowsЗадание

MCP Integration, Webhooks, and External Connectivity

Model Context Protocol (MCP) in n8nВидеоWebhooks, API Triggers, and Event-Driven AI WorkflowsВидеоBuilding an MCP Server in n8nВидеоExecuting a Multi-Tool MCP Workflow in n8nВидеоUsing Webhooks to Trigger an AI Processing WorkflowВидеоSecurity and Safety Considerations in AI AutomationЧтение

Deploying, Monitoring, and Scaling AI Workflows

Production Deployment in n8n ВидеоMonitoring, Error Handling and Workflow ReliabilityВидеоWorkflow Versioning, Templates and Team CollaborationВидеоImplementing Error Handling and Retry Logic in AI WorkflowsВидеоDesigning Cost-Efficient AI Workflows in ProductionЧтениеPractice Assignment: Deploying, Monitoring and Scaling AI WorkflowsЗадание

Module Wrap-Up and Assessment

Module Summary: Advanced Agentic Patterns and ProductionЧтениеKnowledge Check: Advanced Agentic Patterns and ProductionЗадание
04Course Wrap-Up and Assessment4 материалов

Course Conclusion

Practice Project: Build an AI-Powered Business Automation SystemЧтениеAI Workflow Design ChallengeDIALOGUEKnowledge Check: Build AI Agents with n8nЗаданиеCourse SummaryВидео
Practice Assignment: MCP Integration and External ConnectivityЗадание