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Class 09

AI Automation Lab

Move beyond prompting into AI-powered workflows: triggers, actions, connected apps, and human-in-the-loop approval.

8 hours 14 lessons Hands-on lab — build a working automation

Level: Intermediate → Advanced
Duration: 8 hours
Lessons: 14 lessons
Format: Hands-on lab — build a working automation
Tracks: Work, Business, Nonprofit

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Course overview

The step where AI stops waiting for you. You will learn how automated workflows are actually structured — triggers, actions, data, conditions, approvals — and build at least one real automation that runs without you. No coding required; everything is built with no-code tools, with an optional look at APIs for the curious.

Who this is for

People who have hit the ceiling of manual prompting
Operators with obvious repetitive processes
Graduates of Chief of Staff or Small Business & Nonprofits

What you’ll learn

How automations are structured
Triggers: time, event, and manual
Actions and multi-step chains
Connecting the apps you already use
Where AI fits inside a workflow

Working with data sources
Conditions and branching
Approval steps and human-in-the-loop design
Testing, error handling, and monitoring
A responsible look at APIs

Curriculum

7 modules · 14 lessons

Trigger, action, condition, output
Picking a first automation that will not break
No-code platform tour

Scheduled versus event triggers
Multi-step action chains
Passing data between steps

AI steps inside a workflow
Prompting for machine-readable output
Handling unpredictable AI responses

Spreadsheets and databases as sources
Email, calendar, forms, and storage
A gentle introduction to APIs and webhooks

Branching logic
Human-in-the-loop approval steps
Deciding what must never be automatic

Testing before you trust it
Error handling and notifications
Monitoring and maintenance

Scoping your automation
Building it live
Testing with real data
Documenting and handing it off

Hands-on exercises

Build and ship one working automation with an approval step

Document the workflow so someone else could maintain it

Break your own automation on purpose and fix the error handling

Paired labs

Intermediate 2 hours

Automate a Repetitive Office Task

Pick one genuinely tedious recurring task, map it, and automate it end to end — including error handling and a notification when something goes wrong.

You leave with
One automation running in production.

Zapier or MakeSheetsChatGPT

Paired with 09 — AI Automation Lab

Expected outcomes

One automation running in production
A documented workflow diagram
The judgment to know what should stay manual

Tools used

Zapier or Make Google Sheets or Airtable ChatGPT or Claude API-connected step Gmail or Outlook

Skills you build

Workflow automationNo-code integrationHuman-in-the-loop designError handling

Instructor

Instructor Placeholder

LifeQuest AI Automation Faculty

Instructor details for this class are being finalized.

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