n8n Workflow Automation

This advanced course teaches builders to create sophisticated AI automations and agents in n8n. Learners work with nodes and workflows, AI agent nodes, APIs and webhooks, self-hosting, and debugging. They leave able to ship reliable, production-grade automations.

What this course covers

The course runs across 10 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Advanced n8n Architecture and Self-Hosting — Setting up n8n via Docker, configuring environment variables for production, and understanding the scaling architecture (execution modes, queue mode, and Redis).
Mastering Advanced Node Configurations and Data Merging — Working with complex data structures using the Merge node, Code node (JavaScript/Python), and advanced expressions to manipulate JSON arrays.
Designing Resilient Webhooks and API Integrations — Creating custom Webhook triggers, handling multi-part form data, managing authentication (OAuth2, Custom Headers), and implementing custom HTTP Request nodes.
Building AI Agents with LangChain Nodes in n8n — Introduction to the AI Agent node. Configuring agent types (Conversational, Tool Agent), system prompts, and memory management (Buffer, Window, Redis).
Integrating LLMs, Embeddings, and Vector Stores — Connecting OpenAI/Anthropic model nodes, generating vector embeddings, and upserting/retrieving data from vector databases like Pinecone, Qdrant, or Supabase.
Equipping AI Agents with Custom Tools and Workflows — Turning standard n8n sub-workflows and external APIs into executable tools that AI agents can intelligently call based on user intent.
Advanced Error Handling, Retries, and Debugging — Implementing global error-trigger workflows, node-level retry policies, conditional routing on failure, and using the execution history for remote debugging.
Sub-workflows, State Management, and Variables — Structuring complex automation systems using the Execute Workflow node, passing state variables dynamically, and managing global workflow variables.
Securing n8n Workflows and Credential Management — Best practices for securing sensitive data, utilizing external credential vaults (HashiCorp Vault), and managing environments (Development, Staging, Production).
Capstone: Shipping a Production-Grade AI Customer Support Agent — End-to-end lab building a live AI agent that intercepts webhooks, queries a vector database, uses tools to update a simulated CRM, and responds autonomously.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Webhooks, AI Agent Development, API Integration, Workflow Automation, Working with AI Tools.

Webhooks
AI Agent Development
API Integration
Workflow Automation
Working with AI Tools

Who it is for

Technical ops, builders. The material is pitched at advanced level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: Automation track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, code lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

All AI Agents training courses →
Computer-Use & Browser Agents — This course covers agents that operate software the way people do - clicking, typing, browsing. Learners build a supervised computer-use workflow and learn where the reliability boundary really sits.
AI Agents & Agentic Workflows — Learners understand and design agentic systems that take multi-step actions with tools. The course covers what an agent is, tools and function calling, multi-step and multi-agent designs, MCP and orchestration, and guardrails. Participants finish able to design agents that are useful and safe.
Agent Memory & State — A design course on giving AI systems usable memory: architectures for persistence, what to store versus retrieve, and handling privacy and staleness. Learners add durable memory to a working agent.
Orchestration Frameworks — A judgment-heavy course on orchestration tooling (LangChain/LlamaIndex-class): what it solves, what it obscures, and when plain code is better. Learners build the same workflow twice and compare.
Zapier & Make: Advanced — An advanced automation course for Zapier and Make: multi-step workflows with AI reasoning steps, branching logic, and robust error handling. Learners ship an automation reliable enough to run unattended.
AI Automation Assessment — AI Automation Assessment: designing and running a reliable workflow.
AI Automation Specialist — Connect AI into real workflows and systems

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code TUL-N8N-101.