Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

Traditional rule-based automations break down when faced with unstructured emails, documents or multi-step reasoning. This course teaches how to combine deterministic workflow steps with autonomous AI agent nodes safely in n8n, including self-hosted enterprise setups.

Participants practise n8n AI Agent and LangChain nodes, structured JSON outputs, tool calling to internal systems, RAG integration with Qdrant/pgvector, human-in-the-loop approvals via Slack/Teams, and error/retry architecture. Each participant builds a working end-to-end prototype for an internal business process alongside a pre-release security checklist.

Who Should Attend?

  • Business analysts, process improvement and operations specialists
  • No-code/low-code builders and automation engineers
  • Product teams and internal IT application developers
  • Prerequisite: basic workflow logic and familiarity with JSON/API concepts

Key Takeaways

  • Decide which workflow steps should be deterministic nodes and which should be AI agents
  • Connect memory, system prompts and safe tools to n8n AI Agent nodes
  • Format LLM outputs to match CRM, ERP and database schemas using Structured Output Parsers
  • Insert human-in-the-loop approval and timeout steps before high-impact actions
  • Implement error handling, fallback models, rate limiting and cost monitoring

Curriculum

n8n Architecture and Deterministic vs. Agentic Flows
  • Triggers, data transformation, branching and sub-workflows
  • When to use a fixed LLM chain versus a tool-calling agent
AI Agent Nodes, Memory and Structured Output
  • Connecting OpenAI, Claude, Gemini and local (Ollama/vLLM) models
  • Window buffer / database memory and JSON Schema Structured Output
Tool Calling and Enterprise Knowledge Base (RAG)
  • Exposing sub-workflows and HTTP APIs as agent tools
  • Document chunking, embeddings and vector retrieval nodes for corporate RAG
Human-in-the-Loop Approvals and Error Handling
  • Wait nodes, email/Teams/Slack approval buttons and escalation logic
  • Error Triggers, retry policies, fallback models and loop guards
Security, Observability and Going Live
  • Credential management, data masking and prompt injection safeguards
  • Execution logs, workflow evaluations and pre-deployment checklist

Other Courses in This Category

  • AI-Powered Workflows with Microsoft Power Automate

    Building email triage, invoice/document processing (IDP), SharePoint/Teams automation and approval flows in Microsoft 365 using Power Automate and AI Builder. Business teams deliver governance-compliant end-to-end workflows.

    Building No-Code / Low-Code AI Workflows Corporate
    Live Course
    5 modules
    View
  • Building Enterprise Agents with Microsoft Copilot Studio

    Training on building enterprise assistants and autonomous agents with Microsoft Copilot Studio connected to SharePoint and corporate data, triggering Power Automate actions within strict grounding and permission guardrails.

    Building No-Code / Low-Code AI Workflows Corporate
    Live Course
    5 modules
    View
  • Rapid AI Automation Prototyping with Zapier

    Building no-code AI workflows and MVP prototypes across SaaS apps with Zapier Zaps, Tables, Interfaces and Zapier Agents/Chatbots. Business teams deliver working end-to-end automations that validate process ideas fast.

    Building No-Code / Low-Code AI Workflows Corporate
    Live Course
    5 modules
    View
  • API and Webhook Integration for Low-Code AI Workflows

    Connecting custom enterprise systems and LLM services to n8n, Power Automate or Make using REST APIs, JSON, Webhooks, OAuth2/API Keys and resilient error handling. Participants build a working custom-integrated workflow.

    Building No-Code / Low-Code AI Workflows Corporate
    Live Course
    5 modules
    View

Get in touch