Independent AI skills certification
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Level 2 of 3

VeriLevel Practitioner

Get dependable results from AI every day

Practitioner certifies that you can rely on AI for real deliverables. It tests how you structure complex requests, ground answers in your documents, verify results, work with data and run repeatable AI-assisted processes.

Get Practitioner, $59See exam content
Questions
35
Time limit
50 min
Pass mark
70%
Attempts
4
Price
$59

Who it is for

  • Analysts, consultants and researchers who use AI for client or management work
  • Marketers, writers and communications teams producing content at volume
  • Operations, finance and project staff working with documents and spreadsheets
  • Customer support leads who review AI-drafted replies
  • Team members who set AI practices that others follow

No prior certification is required. Daily experience with AI tools is strongly recommended.

What you will demonstrate

  1. Structure long, multi-part requests with clear separation of instructions and source material
  2. Ground answers in provided documents and check quotes against the source
  3. Detect sycophancy, missed details in long inputs and unreliable arithmetic
  4. Use AI for research, meetings, spreadsheets and customer communication with the right checks
  5. Minimize and de-identify data and respond correctly to accidental sharing
  6. Supervise simple agents with scoped access and approval for consequential actions

Exam content outline

The Practitioner exam covers 6 domains. Each attempt draws questions from every domain in the proportions below, so you see a balanced exam every time.

1

Instructions and context

20%about 7 questions
  • Define goal, audience and success criteria, not only the topic
  • Separate and label multiple documents; place the task after long inputs
  • Use varied examples so the AI learns the pattern, not the surface
  • Allow "not stated" answers and ask for clarifying questions
  • Iterate one change at a time and keep templates that work
2

Evaluating output

20%about 7 questions
  • Verify citations, case names, statistics and quotes in primary sources
  • Ask for supporting quotes from the document before conclusions
  • Avoid leading prompts and test answers against the strongest counterargument
  • Check summaries for dropped limits, exceptions and caveats
  • Recompute numbers with a spreadsheet or calculation tool
  • Match the depth of review to the stakes
3

Everyday workflows

20%about 7 questions
  • Pick tasks where AI adds value and avoid those needing current facts without sources
  • Turn meetings into decisions and action items with owners and dates, checked against the transcript
  • Use AI to scope research and find leads, then confirm in primary sources
  • Test AI-written formulas on known rows and edge cases
  • Review AI-drafted customer replies against policy before they go out
  • Build checklists and sample-based spot checks into repeated work
4

Data and privacy

15%about 5 questions
  • Apply your organization’s acceptable use policy and approved tools
  • Keep regulated, financial and client-confidential data out of unapproved tools
  • Remove quasi-identifiers, not just names, before sharing
  • Check retention and training settings instead of assuming
  • Report accidental sharing promptly
5

Responsible use

15%about 5 questions
  • Own the final work product when AI assisted
  • Understand how human selection and editing affect ownership of AI-assisted content
  • Disclose AI use to clients and audiences who expect to know
  • Require human review and bias monitoring in decisions about people
  • Verify identity through an independent channel for unusual requests
6

AI agents

10%about 4 questions
  • Recognize autonomy levels from suggest-only to fully autonomous
  • Require approval for sending, deleting, paying and publishing
  • Grant least privilege, read-only where possible
  • Treat instructions inside processed content as untrusted data
  • Start agents on small, reversible tasks and review their logs

Sample questions

These examples show the style and difficulty of Practitioner questions. They are not part of the exam question bank.

Sample question 1

You ask an AI assistant to summarize a 60-page vendor contract. The summary looks complete, but you know contracts often hide exceptions in the middle. What is the most reliable next step?

  1. AAsk the assistant to quote the exact clauses on termination, liability and exceptions, then check them in the contractCorrect answer
  2. BAsk for a shorter summary so there is less to check
  3. CRun the same summary request again and compare the two versions
  4. DAccept the summary, because the document was provided in full

Why it is correct. Long inputs raise the risk of missed details. Asking for exact quotes on the clauses that matter and checking them against the source grounds the summary in the document.

Sample question 2

You tell an AI assistant that its revenue estimate seems too low. It immediately agrees and raises the number without new information. How should you treat the new estimate?

  1. AAs more accurate, because the assistant corrected itself
  2. BAs final, because two versions are now available to compare
  3. CAs accurate, as long as you ask the assistant to explain the change
  4. DAs unverified, since the change may simply follow your pushback, so recalculate from the dataCorrect answer

Why it is correct. AI tools can change answers to agree with the user. A change without new information is not evidence, so the figure should be recalculated from the underlying data.

Exam format and rules

Everything runs online. There is no account to create, no appointment and no camera monitoring.

Delivery
Online in your browser, from any computer
Questions
35 multiple-choice questions, mostly workplace scenarios
Time limit
50 minutes, the timer cannot be paused
Pass mark
70%, scored automatically against a fixed answer key
Attempts
4 per purchase: your first attempt and 3 free retakes within 12 months
Results
Right after each attempt, with a breakdown by domain
Certificate
PDF by email when you pass, with a public verification page
Validity
24 months from the issue date
Accommodations
Extra time and other adjustments at no extra cost
Refunds
Full refund any time before your first attempt

Read the full Exam Policy

How to prepare

You do not need a course. These steps use your own work to close the gaps the exam looks for.

  1. 1

    Map your gaps

    Go through the objectives below and note the ones you have not practiced on real work.

  2. 2

    Ground your work

    For two weeks, ask for supporting quotes on every document-based answer and check them.

  3. 3

    Test with numbers

    Recompute every AI-produced total or percentage with a spreadsheet and note how often they differ.

  4. 4

    Write a team checklist

    Draft a one-page checklist for one recurring AI-assisted task, including what a reviewer must check.

Practitioner questions

More answers about exams and certificates are on the main FAQ.

How is Practitioner different from Foundation?

Almost every Practitioner question is a workplace scenario with realistic distractors. It goes deeper into grounding, verification, data handling and repeatable processes, and adds basic agent supervision.

Do I need Foundation first?

No. You can start at Practitioner if you already use AI every day for real deliverables.

Is there coding on the exam?

No. Questions about spreadsheets and data test judgment and checks, not programming.

Get VeriLevel Practitioner

Pay once, receive your exam link by email and start whenever you are ready. Your certificate arrives the moment you pass.

  • No account needed
  • 4 attempts included
  • Full refund before you start

$59USD, one-time payment

Get PractitionerCompare all levels

Other levels

For people who design AI workflows and agents for a team, a department or clients.

Questions
40 advanced scenarios
Time limit
60 minutes
Pass mark
70%
Attempts
1 + 3 free retakes
$99USD, one-time payment
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