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Course title

Orchestrating Intelligent Workflows with n8n

Workflow triggers, system integrations and AI agent nodes

Overview

n8n has become one of the most widely adopted platforms for connecting applications, data, and language models into automated workflows. This two-day programme takes participants from a first trigger to a production-ready AI agent, built around genuine business processes.

Most organisations already hold the components of an automated operation, including web forms, spreadsheets, customer records, and shared inboxes, but connect them manually. n8n unifies these systems on a visual canvas, and its AI nodes allow a language model to read, classify, and act on the information passing between them.

Day one covers workflow fundamentals, including triggers, nodes, data transformation, and integrations. Day two introduces AI capabilities, from document classification and extraction to agents with memory and tools, and concludes with deployment, error handling, and security.

Learning outcomes

By the end of the workshop, you will be able to

  1. 01

    Construct n8n workflows using triggers, integrations, and data transformation logic.

  2. 02

    Integrate language models into workflows for classification, extraction, and drafting tasks.

  3. 03

    Configure AI agent nodes with memory, tools, and human approval checkpoints.

  4. 04

    Deploy, monitor, and secure workflows for reliable production operation.

Programme

What you will learn

Part 1 · 3 modules

Workflow fundamentals

1.1The n8n canvas
  1. (a)Nodes, connections and executions
  2. (b)Cloud and self-hosted deployment
  3. (c)Credentials and connected accounts
1.2Triggers and data
  1. (a)Schedule, webhook and form triggers
  2. (b)Working with JSON, expressions and mapping
  3. (c)Branching, merging and looping
1.3Integrations
  1. (a)Email, spreadsheets and cloud storage
  2. (b)CRMs and messaging platforms
  3. (c)The HTTP Request node for any API

Part 2 · 2 modules

Adding AI to workflows

2.1Language model nodes
  1. (a)Choosing a model provider
  2. (b)Summarising, classifying and extracting
  3. (c)Structured output for reliable downstream steps
2.2AI agents in n8n
  1. (a)The AI Agent node, memory and tools
  2. (b)Connecting tools through MCP
  3. (c)Human approval before an agent acts

Part 3 · 2 modules

Running in production

3.1Reliability
  1. (a)Error workflows and retries
  2. (b)Logging and execution history
  3. (c)Testing with sample data
3.2Security and data
  1. (a)Managing credentials and access
  2. (b)Personal data under the PDPA
  3. (c)Costs, rate limits and model usage

Who should attend

  • Operations and administration leads
  • Business analysts and process owners
  • Technical staff who maintain internal tools
  • Founders who want to automate without a development team

In-house delivery

Tailored for your organisation.

Delivered at your offices or conducted virtually, each run is customised around your active course portfolio and internal operating procedures.

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