AI Automation Training with Make & Zapier

Most teams that adopt Make or Zapier build one connected workflow and stop there. This hands-on training teaches your team to design, build, test, and govern working scenarios and zaps, adding AI steps where messy input needs judgment and keeping a human in the loop wherever a mistake would be costly. The program runs inside the platform your team already chose, so participants leave with automations built on their own stack. Exercises use your team's real connectors and forms wherever possible, including the approval steps.

modules
6
hours
13
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Why this training

Why train on this tool?

Most teams think buying Make or Zapier is the automation project. It's the starting gun. The actual project is designing a scenario or zap that keeps working once messy business data hits it, and knowing when an AI step earns its place instead of just looking clever.

Across six modules, participants compare Make's branching canvas against Zapier's linear zap builder and connect apps through native integrations and fallback webhooks. They add AI steps for classification, extraction, and first-draft text, with output they can check before it moves on. The detailed module rebuilds one of your team's own scenarios or zaps end to end, so the group leaves with a working automation.

Governance runs alongside the build work. The team names who owns each connection and what data may enter a hosted no-code tool. It also learns how to keep a growing library of scenarios and zaps from sliding into unmanaged sprawl. This program is deliberately platform-specific. Teams weighing a broader, tool-neutral strategy, or already standardized on n8n, should start with our AI automation training, which covers deterministic workflow design and self-hosting in depth.

None of the six modules above ship as a fixed script. We adjust the connectors, approval steps, and compliance rules to match what your team already runs, here and across the rest of our AI training programs.

The seat that only moves one spreadsheet

Many operations and marketing teams already pay for Make or Zapier, and use it to connect exactly one form to one spreadsheet. The subscription was never the blocker. Knowing how to design a multi-step scenario or zap and test it, then hand it off.

What happens when a zap meets messy input?

Classic triggers and filters need clean, predictable input, while a native AI step can read a messy email, classify a support ticket, or draft a first-pass reply so the automation keeps working.

No-code still needs governance

Because Make and Zapier remove the coding barrier, teams add connections and automations faster than anyone tracks them. A scenario that touches customer data, runs unmonitored, or lives in one person's login is a liability no matter how easy it was to build.

Make and Zapier are not interchangeable

The two platforms model work differently: Make's visual, branching canvas favors complex data shaping, while Zapier's linear zaps favor speed and simplicity. Pick the wrong one for a given job and you end up fighting the tool instead of the process.

Sprawl happens fast on a shared account

A handful of builders working in the same workspace can produce dozens of overlapping scenarios and zaps within months. Naming conventions, folders, and ownership need deciding early, or nobody can tell which automation still matters.

Syllabus

Training syllabus

  1. Where Make and Zapier are each the stronger choice

    90 minBeginner

    Before building anything, teams learn the shared trigger-and-action model behind both platforms. They compare where each one wins the job. That judgment keeps the rest of the program grounded in the work at hand.

    • Scenarios and zaps, and where each one fits
    • The shared trigger-and-action model behind both
    • Picking a first automation from your own repetitive work
    • Where a no-code platform tops out
    • Reading the release notes before you commit

  2. Building your first scenario or zap

    150 minBeginner

    The core mechanics of a no-code automation, learned by building one in whichever platform your team runs. Participants leave able to connect apps and branch logic, then read a run's history without guessing.

    • Connecting apps: OAuth and API keys, with account permissions
    • Make's canvas versus Zapier's linear builder
    • Filters and routers, with paths for branching logic
    • Reading a run's history instead of guessing
    • Handling errors and retries, including silent failures

  3. Adding AI steps inside Make and Zapier

    150 minIntermediate

    Where a fixed scenario stops being fixed. Participants add a native AI step and learn to get structured, checkable output instead of a wall of prose, which is the difference between a demo and an automation you can trust.

    • Native AI modules inside Make and Zapier
    • Using an AI step for classification or first-draft text
    • Prompting inside a no-code step for consistent output
    • Passing AI output cleanly to the next step
    • Guardrails against a silently corrupted downstream field

  4. Data mapping and connecting your stack

    120 minIntermediate

    Because scenarios span a form, a sheet, a CRM, and a helpdesk, this module maps data between them cleanly and adds a fallback for apps without a native connector.

    • Mapping fields across CRM, sheets, forms, and helpdesk
    • Make's data structures versus Zapier's field-by-field mapping
    • Webhooks and API calls when no connector exists
    • Cleaning messy data mid-run
    • A human approval step before live records change

  5. Rebuilding one of your own scenarios end to end

    150 minIntermediate

    The center of the program. Each team picks one of its own scenarios or zaps and rebuilds it end to end, so participants leave with a working automation.

    • Picking one of your team's own scenarios to rebuild
    • End to end, in the platform you use
    • Marketing and ops examples: lead routing and reporting, including content handoffs
    • Back-office examples: intake forms and approvals, including document workflows
    • Testing with live cases
    • A build-doc a non-builder can follow

  6. Governance of no-code automations

    120 minAdvanced

    What separates a clever automation from one an organization can run for years. Access control and monitoring sit beside the habits that keep a shared Make or Zapier workspace from sliding into unmanaged sprawl.

    • Connections and credentials, with permissions in one place
    • What should never enter a hosted no-code tool
    • Catching silent failures early
    • Version history and change control as automations multiply
    • Shadow-automation sprawl on a shared account
    • What graduates to n8n or custom code

Outcomes

Outcomes & audience

What you will learn

  • Choose the platform on purpose
  • Build one scenario, start to finish
  • Add an AI step with output you can check
  • Map data cleanly, with a fallback when a connector is missing
  • Put a human in the loop before it touches live data
  • Know what never belongs here
  • Catch a silent failure before it costs a week
  • The line between Make, Zapier, and custom code

Who should attend

  • Marketing-ops and revenue-ops teams already living in Make or Zapier
  • Operations and back-office staff still running approvals by hand
  • Agencies maintaining automations for client accounts
  • Growing SMB teams standardized on one platform
  • Citizen developers and internal automation champions
  • Whoever bought the Make or Zapier plan and wants it actually used

Format

Training format

This runs two days, usually split into half-day working sessions. Onsite and live online cover the same syllabus, and every participant builds scenarios or zaps in a live Make or Zapier workspace.

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
Make and Zapier build templates, a prompt library, and an exercise workbook
Certificate
Certificate of completion

About Zeo

Why Zeo

Zeo started in 2011 and now works out of San Francisco, Istanbul, Ankara, and Lisbon. We run Copilot Academy and organize Digitalzone, an international digital marketing conference. This program draws on the 10+ years of consulting and training work behind that, applied to corporate AI adoption.

  • 2011founded in Istanbul
  • 10+years of consulting and training experience
  • 3offices: San Francisco, Istanbul, Ankara, Lisbon

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Next step

Put your Make or Zapier seat to work

Name your platform and one process the team repeats every week. That process becomes the working thread for a program ending in a Make scenario or zap your team can keep.
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Questions

Frequently asked questions