Tool or Technology
TT0152

Mastering n8n

Advanced Workflow Automation, AI Agents & Enterprise Orchestration

n8n
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in architecting complex workflow automation across business applications, APIs, databases, files, events, and human processes.
  • Build intelligent AI workflows using language models, AI Agents, tools, memory, RAG, structured data, human approval, and systematic evaluation.
  • Design modular and reusable automation architectures using sub-workflows, Data Tables, webhooks, APIs, custom code, and reusable workflow components.
  • Extend n8n through MCP, custom integrations, the n8n API, and self-hosted enterprise architectures.
  • Establish production-grade standards for testing, security, error handling, observability, source control, scalability, governance, and AI-agent reliability.

Technology covered

n8nWorkflow EditorAI Workflow BuilderChat HubAI AgentChat TriggerAI ModelsMemoryVector StoresRAGData Tablesn8n FormsWebhooksHTTP RequestCode NodeExpressionsIfSwitchMergeLoop Over ItemsWaitExecute Sub-workflowError TriggerEvaluationEvaluation TriggerGuardrailsHuman-in-the-LoopMCP ClientMCP Server TriggerInstance-Level n8n MCP Servern8n APISource Control & EnvironmentsQueue ModeExternal SecretsLog Streaming & Security Audit

Who should attend

  • Automation Engineers
  • AI Automation Engineers
  • Business Process Automation Professionals
  • Integration Developers
  • Software & Backend Developers
  • AI / Generative AI Engineers
  • Solution Architects
  • Enterprise Architects
  • Business Analysts
  • Operations & Process Excellence Professionals
  • DevOps & Platform Engineers
  • RevOps & Sales Operations Teams
  • Marketing Operations Professionals
  • IT & Service Operations Teams
  • Digital Transformation & AI Centre of Excellence Teams

Prerequisites & Participant Readiness

  • Basic understanding of workflow automation and business processes
  • Familiarity with triggers, actions, conditions, and data mapping
  • Basic understanding of APIs, HTTP, JSON, and webhooks is recommended
  • Familiarity with Generative AI and Large Language Model concepts is beneficial
  • Basic JavaScript knowledge is useful for advanced Code node activities
  • Basic understanding of databases and authentication concepts is beneficial
  • Familiarity with Docker, infrastructure, or Git is useful for self-hosting and enterprise modules
  • No previous n8n course attendance is required
  • Some enterprise, source-control, governance, MCP, and administration capabilities depend on edition, deployment model, permissions, or feature availability

TOC Modules

Concepts
  • Understanding n8n as a low-code workflow automation and AI orchestration platform
  • Understanding nodes, connections, executions, credentials, items, and workflow lifecycle
  • Understanding scheduled, event-driven, webhook-driven, and interactive automation
  • Differentiating deterministic workflows from AI-driven and agentic workflows
  • Understanding Cloud versus self-hosted deployment approaches
Practical activities
  • Analysing a complex manual enterprise process
  • Identifying systems, triggers, data, decisions, exceptions, and approvals
  • Mapping Business Event → Processing → Systems → Human Decision → Outcome
  • Designing a high-level enterprise n8n architecture

Scenarios

Intelligent Enterprise Lead Intelligence & Sales Orchestration

Lead Source → Webhook / Form → Data Validation → CRM + External APIs → AI Agent → Company Research → Qualification → Human Approval → CRM Update → Personalized Outreach → Data Table Tracking → Monitoring

Participants build an end-to-end sales-operations workflow that combines deterministic automation with AI reasoning to research, enrich, qualify, prioritise, and route leads while maintaining human control over consequential CRM and communication actions.

Enterprise Knowledge & Operations Agent

Employee Request → Chat Hub / Chat Trigger → AI Agent → RAG Knowledge → MCP / Workflow Tools → Enterprise Applications → Human Approval → Business Action → Data Table → Evaluation & Monitoring

Participants design a governed enterprise Agent that answers organisational questions, invokes approved workflows and external systems, pauses for human approval when necessary, and continuously improves through structured testing and operational monitoring.

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