Which teams get the most out of this?

Any team running repetitive, multi-step work: operations, marketing-ops, revenue-ops, finance, HR, support, and the internal champions who want to build automations for their colleagues. No engineering background is assumed. The only prerequisite is knowing your own workflows.

Is any coding involved?

No, n8n is a no-code, low-code tool built entirely around visual workflows, so if you can read a spreadsheet formula, you can follow every exercise here.

Where does it run, and over how long?

Thirteen hours of instruction, spread across two days onsite or live online. Most teams break it into half-day blocks so day-to-day work isn't disrupted, and every session runs inside a live n8n instance.

Why does the training focus on n8n instead of Zapier or Make?

n8n is open-source, free to practice on, and can be self-hosted, which makes it a good fit for a workshop and for teams with strict data rules. The thinking transfers directly to Make and Zapier, and one module covers choosing the right tool for a given job.

Will the exercises use our actual tools and workflows?

That's the plan from the start. A short discovery call before the training, plus a few sample workflows, is enough to build the exercises around your processes and the systems you already run: CRM, sheets, helpdesk, and the rest.

What shapes the quote?

Group size, delivery format, customization depth, and location set the number. Each one moves independently, so two programs that share three of the four factors can still land at different prices. Tell us what you want automated and how you want the training delivered. Add your team size, and we'll scope the proposal to your situation.

What's left once the sessions wrap up?

You keep the workflow templates, prompt library, and a short adoption plan built during the sessions, plus the automations your team built during the week. We stay reachable for follow-up questions, and optional advanced or refresher sessions can be scheduled as your practice matures.

What happens to our data during the sessions?

By default the data is synthetic or anonymized, and one module covers what changes once live data is involved. If KVKK or data residency applies to you, we work through self-hosting n8n so sensitive records never leave your own systems.

AI Training · AI Automation

AI Automation Training with n8n

Most teams buy an automation tool, build one workflow, and never get much further — the license was rarely the problem. This training teaches your ops and marketing teams to build, test, and govern real workflows in n8n instead.

AI steps go in where they actually help, and people stay in the loop wherever a mistake would matter. Every exercise stays grounded in the workflows your team actually needs fixed, not a generic template.

modules: 6
hours: 13

Some of the 500+ brands we've worked with

Selected brands we’ve worked with across industries.

See all references

Why did we buy n8n six months ago and still do half of this by hand? This training answers that directly. It teaches your ops and marketing teams to build, test, and govern n8n workflows, add an AI step wherever messy input breaks a rigid rule, and hand the result to someone who can maintain it after the trainer leaves.

Most teams already own an automation tool and still run everything by hand — the blocker was never the license, it's knowing how to design, build, and trust a workflow end to end once an AI step does some of the thinking. Over two days you map what's worth automating, build and test in n8n, add AI steps for classification and summarization, and connect your apps via APIs and webhooks. Automation here means deterministic, trigger-based pipelines; a workflow that reasons toward a goal has crossed into agent territory, covered separately, with the remaining tracks indexed under AI training.

The glue work never ends

Copy-paste, weekly reports, and chasing approvals repeat the same steps every time — exactly what a workflow can carry instead.

The tools are already there

Teams already pay for n8n, Make, or Zapier and still work by hand; the license was never the blocker, trusting a workflow is.

Why does one bad email break a rigid workflow?

A free-text email in the wrong format stalls a rigid workflow; an LLM step classifies or extracts the fields anyway.

Stop waiting on someone else to build it

Every small change meaning a ticket to IT stalls automation; teams that adjust their own workflows move faster.

One shared login is often the whole security model

A workflow living in one person's personal login is a liability; credentials, monitoring, and KVKK-aware choices belong from day one.

01
Automation thinking: spotting work worth automating
90 minBeginner
Before touching a tool, teams learn to see their own work as processes. They also learn which ones automation genuinely fits. This module builds the judgment that keeps you from automating the wrong thing well.
Mapping a process step by step, from trigger to outcome
Spotting the repetitive, rule-bound work automation fits
Effort-versus-payoff triage: what to automate first
What an AI step adds beyond classic if-this-then-that
Where automation ends
02
Workflow fundamentals with n8n
150 minBeginner
The core building blocks of a no-code workflow, learned by building one. Participants leave able to read, run, and fix a workflow in n8n, the primary tool for the hands-on sessions.
What n8n is, and how it compares to Make and Zapier
Triggers and nodes for your first connected workflow
Credentials and account connections, stored and handled safely
Testing a workflow and reading its execution log
Errors and retries, handled so a workflow doesn't fail silently
Cloud versus self-hosted n8n: what changes for your data
03
Adding AI steps to your workflows
150 minIntermediate
Where automation stops being rigid. Participants add language-model steps to a workflow and learn to get structured, checkable output instead of a wall of prose. That's the difference between a demo and a pipeline you can actually rely on.
Calling an LLM as a step inside a workflow
Classification, summarization, extraction, and routing tasks
Prompt patterns that return structured, machine-readable output
AI output, checked first
Controlling cost and quality on high-volume runs
When a plain rule is more reliable than a model
04
Connecting your apps and keeping humans in the loop
120 minIntermediate
Real workflows span systems: a form, a sheet, a CRM, an inbox. This module connects them cleanly and puts a person back in the loop wherever a mistake would be expensive.
Working with APIs and webhooks without writing much code
Spreadsheets, CRM, helpdesk, and email, integrated into one flow
Passing data cleanly between steps and systems
Human-in-the-loop checkpoints where a mistake would be costly
Approvals, notifications, fallbacks
05
Automating a workflow from your own work
150 minIntermediate
At the heart of the program, each team picks one of its own processes and builds it end to end so participants leave with a working automation.
One of your team's own processes, chosen to automate live
Building it end to end, from trigger to result
Marketing-ops examples, from reporting to content ops to lead enrichment
Back-office examples, from intake to data entry to document handling
Testing with everyday cases and handing it to the team
A documented workflow that others can maintain
06
Governance for trusted automation within data boundaries
120 minAdvanced
What separates a clever workflow from one an organization can still run five years from now. Security, data handling, monitoring, and the habits that keep automation from sprawling out of anyone's control.
Credentials, access, and security, managed across every workflow
Keeping data KVKK-compliant, including when to self-host
Monitoring running automations and catching failures early
Workflows that get versioned and maintained as they grow
No shadow-automation sprawl
Measuring hours saved and planning what to automate next

What you will learn

A working n8n workflow you built and tested. You can debug it yourself
Judge fast whether a process is worth automating
Add an LLM step for classification, extraction, summarization, or routing, with output someone checks
Connect apps through APIs and webhooks, or use a shared sheet
A human catches costly mistakes
Tell workflows from agents
Keep workflow data KVKK-compliant, self-hosting n8n where needed
Monitor automations and measure the hours they save

Who should attend

Operations and business-operations managers
Marketing-ops and revenue-ops teams
Finance and HR, including back-office teams with repetitive workflows
Citizen developers and internal automation champions
Team leads who bought an automation tool and want it finally adopted
Analysts and coordinators who live in spreadsheets and manual handoffs

Automation work fills two days, usually split into half-day sessions. Onsite and live-online formats cover the same syllabus, and every participant builds workflows in a live n8n instance.

Format: Onsite or live online
Duration: 2 days (about 13 hours, can be split into half-day sessions)
Group size: Up to 16 participants per group
Language: English or Turkish
Materials: n8n workflow templates, a prompt library, and an exercise workbook
Certificate: Certificate of completion

Make & Zapier6 modules · 13 hoursTraining to build, test, and govern AI-enabled automations in Make and Zapier: connectors, AI steps, data mapping, and no-code governance that doesn't fall apart in month three.View training

AI Agents6 modules · 13 hoursNo-code AI agents training for business and operations teams: what an agent really is, when to use one, and how to build and govern one on your own workflows, from Copilot Studio to custom GPTs.View training

OpenClaw6 modules · 12 hoursInstructor-led OpenClaw training for business teams piloting a fast-moving, self-hosted personal AI assistant: a contained setup, scoped business workflows, review discipline before anything ships, and a governed call on whether to roll it out.View training

Using AI in Business Operations6 modules · 12 hoursAI training for business operations and shared-services teams, built around the SOPs, exception queues, and status reports that already fill their week, with sign-off and escalation staying exactly where they are today.View training

What does your team repeat every week, and which tools do you already use? We'll pick the workflow and tools first. The session depth follows from that.

A learner fitting a shape into a practice bench beside a completed sequence

Which teams get the most out of this?
Any team running repetitive, multi-step work: operations, marketing-ops, revenue-ops, finance, HR, support, and the internal champions who want to build automations for their colleagues. No engineering background is assumed. The only prerequisite is knowing your own workflows.
Is any coding involved?
No, n8n is a no-code, low-code tool built entirely around visual workflows, so if you can read a spreadsheet formula, you can follow every exercise here.
Where does it run, and over how long?
Thirteen hours of instruction, spread across two days onsite or live online. Most teams break it into half-day blocks so day-to-day work isn't disrupted, and every session runs inside a live n8n instance.
Why does the training focus on n8n instead of Zapier or Make?
n8n is open-source, free to practice on, and can be self-hosted, which makes it a good fit for a workshop and for teams with strict data rules. The thinking transfers directly to Make and Zapier, and one module covers choosing the right tool for a given job.
Will the exercises use our actual tools and workflows?
That's the plan from the start. A short discovery call before the training, plus a few sample workflows, is enough to build the exercises around your processes and the systems you already run: CRM, sheets, helpdesk, and the rest.
What shapes the quote?
Group size, delivery format, customization depth, and location set the number. Each one moves independently, so two programs that share three of the four factors can still land at different prices. Tell us what you want automated and how you want the training delivered. Add your team size, and we'll scope the proposal to your situation.
What's left once the sessions wrap up?
You keep the workflow templates, prompt library, and a short adoption plan built during the sessions, plus the automations your team built during the week. We stay reachable for follow-up questions, and optional advanced or refresher sessions can be scheduled as your practice matures.
What happens to our data during the sessions?
By default the data is synthetic or anonymized, and one module covers what changes once live data is involved. If KVKK or data residency applies to you, we work through self-hosting n8n so sensitive records never leave your own systems.

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AI Automation Training with n8n