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AI Workflow Owner

AI Workflow Owner

Build a small automation someone else's work now depends on, document it well enough to survive your own absence, and be the person colleagues bring a misbehaving AI tool to.
1.5 hrs taught · 6 to 10 hrs applied 7 modules 16 lessons 4 portfolio artifacts Completion certificate Updated September 2026
Created by the CertClue team
What you'll build

Real portfolio pieces built during the course, not a certificate for its own sake. Each one is work you can show.

  • Workflow owner decision logEvery real decision from the eight days on one page: what was raised and by whom, what was decided and under which tier of authority, the reasoning in terms somebody could disagree with, and one line saying what would change the answer. Carries the request declined with reasoning, the diagnosis that told a real limitation apart from a changed condition, and the Monday report held against pressure to round the truth up.
  • Automation reliability specA new automation's failure modes designed for before it shipped: what happens with a malformed input, an unexpected output shape, and a temporarily unavailable downstream system, each with a specific, defined behaviour rather than a silent failure.
  • Documentation and diagnosis notesDocumentation written for a colleague picking up an automation with no builder in the room, and a diagnosis of a colleague's broken tool that told a genuine model limitation apart from a changed underlying condition, precisely rather than as a general impression.
  • Human-in-the-loop memoTwo automation calls from the same week: whether a new complaint-reply workflow drafts for review or sends autonomously, and whether a colleague's own refund-approval build is actually ready to ship unattended, given what its rules table does not cover.

What you'll learn

Fundamentals, kept short
The role decoded
A day in the role
The recurring calendar
Live simulation - a worked week as an AI Workflow Owner
Artifacts: four records of judgement
Handoff

Course content · 7 modules, 16 lessons

Sign up to unlock every lesson - the titles below show exactly what is inside.

Three things that change the moment an automation stops being a prompt you check yourself and starts being something a team depends on: designing for the unattended case, drawing the assistive line on work you did not build, and reading whether the evidence in front of you covers the risk at all.

Building for the unattended case, not the happy path
The assistive call on somebody else's build
What the evidence actually covers

Requirements

  • Comfortable with the fundamentals this course's own Module 1 covers, or equivalent experience.
  • No prior experience in this field is required to start.
  • A computer with a reliable internet connection.
  • Comfortable using a web browser - no software to install.

Description

Every CertClue course follows the same seven-part shape: fundamentals, the role translated out of job-posting language, a real working day, the job's recurring rhythms, a multi-day simulation, the portfolio you build along the way, and a handoff into your next move. Here is what that looks like for ai workflow owner.

Who this course is for

Anyone aiming to become a ai workflow owner, including career changers with no background in it yet. This is the entry rung of a realistic ladder:

entry
AI-Fluent Team Member

Uses AI tools confidently on daily tasks: drafting, summarizing, and checking output before it goes out.

Prompt basicsOutput verificationTime-saving workflows
mid
AI Workflow Owner

Builds and documents small automations for their team, and is the person others ask when an AI tool isn't behaving.

Automation buildingDocumentationPeer support
senior
AI Champion

Drives AI adoption across a department, evaluates new tools, and sets guardrails for safe, effective use.

Tool evaluationGuardrailsCross-team rollout
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