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AI Champion

AI Champion

Lead AI adoption across a department: bring shadow AI into the open, write a use policy people follow, evaluate a vendor's data terms, pilot against a baseline, and handle the day an AI draft promises a customer something that is not true.
1.5 hrs taught · 6 to 10 hrs applied 7 modules 18 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.

  • Department AI use policyA short AI use policy that decides real cases: which kinds of data may go into which approved tools, who approves a new tool, what a person checks before output is used, what happens when something goes wrong, and what is still undecided.
  • Vendor evaluation recordA customer-service AI tool evaluated on its terms rather than its demo: training use of the department's data, where it is processed, retention, access control and exit, with what must be settled in writing before any customer data goes in.
  • AI drafting pilot designA pilot that tests a claimed 40% time saving properly: a baseline from recent data, time and quality measured together, a neutral pilot team against a comparison team, a failure line agreed in advance, and the decision the result feeds.
  • AI literacy and training planTraining planned by role against the amended EU AI Act literacy rule and the department's own policy: what each group does with AI, the rules that apply to it, what training covers, and how it is recorded, without claiming certification the rule does not require.

What you'll learn

From building automations to leading adoption
The job, decoded
A day in the seat
The rhythm of the job
Into the simulation: eight days at Meridian
Building the portfolio
What comes next

Course content · 7 modules, 18 lessons

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

What changes when the job is a department's use of AI rather than your own automations.

From workflow owner to champion
Frameworks you can borrow

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 champion.

Who this course is for

Anyone aiming to become a ai champion, 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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