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Final Assessment and Certificate

Know exactly what the exam asks, rehearse the timed practical, test yourself with a twenty-question mock, and claim your certificate.

Module 14 of 14 · Day 7 · Session 14 · AI Administrator: Agentic Workflows & Automation

Module 14 ~60 min read + lab No code

What you will learn

Prerequisites: Module 13: Capstone submitted, and every earlier module marked complete.

1. How the exam works

The final assessment has two parts, taken in one sitting of about two hours and twenty minutes including a break.

PartFormatTimeWeight
Theory40 multiple-choice questions covering all modules, one correct answer each, no negative marking60 minutes60%
PracticalA live, timed exercise: map a given process and build it as a no-code automation with a human approval step60 minutes40%

The theory questions are in the same style as the knowledge checks at the end of each module. Roughly: workflow mapping 6 questions, agents and prompting 8, automation and AI steps 8, connectors and MCP 4, human-in-the-loop 6, security and governance 4, monitoring 4.

2. The practical exercise brief

You will receive a one-paragraph process description you have not seen before. It will always have the same shape: a trigger, a piece of text a person currently reads, a decision, a record to update, and a message to send. Here is a sample of the kind you will get:

Sample brief

Facilities receives maintenance requests by email. A coordinator reads each one, decides whether it is urgent (safety or outage) or routine, adds a row to the maintenance tracker with the location and category, and replies to the requester with an expected response time (same day for urgent, five working days for routine). Urgent requests are also forwarded to the on-call engineer.

In 60 minutes you must produce:

  1. A future-state map (a quick swimlane sketch is fine) with each step tagged rule-based / AI / human, and each tool tiered.
  2. A working flow with: the trigger, one AI step (here, urgency and category extraction), the tracker row, and the reply.
  3. An approval gate on the external action (the reply, and the forward to the engineer) showing the full content, with a safe timeout.
  4. An audit-log row written for the gated action.
  5. A five-line note: the data classes involved, the highest tier, what happens on failure, the kill switch, and one risk you would watch.

Marking criteria (40 marks)

CriterionMarks
Map is readable, steps tagged, tools tiered8
Flow runs end to end on the examiner's test input10
AI step produces the needed fields reliably (structured output, category and urgency)6
Approval gate shows the full action; timeout is safe; reject path works10
Audit-log row and the five-line note are complete6

A flow that sends the external message without a gate scores zero on the gate criterion and cannot exceed 25 of 40. Partial builds earn partial marks: a map plus a working AI step with no reply yet is worth more than a complete flow with no map.

3. Exam-day checklist

Most lost marks in the practical are lost in the first ten minutes to logins and missing templates. Do this the day before.

Accounts [ ] n8n workspace open, logged in, one blank workflow created [ ] Email connection (Gmail/Outlook) authorised with the dedicated exam credential [ ] Google Sheets or Airtable connection authorised; a blank "Tracker" and "Audit log" sheet created [ ] Slack/Teams connection authorised if you use it for approvals [ ] Model credential (OpenAI/Anthropic/other) added and tested with one call Templates ready to copy [ ] Classification/extraction prompt from Module 6 (with "return JSON with fields ...") [ ] Approval-gate pattern from Module 10 (send-and-wait or Wait node + IF) [ ] Audit-log column headers from Module 10 [ ] Five-line note headings from Module 11/12 Mapping [ ] draw.io or paper and pen; swimlane template open [ ] Tier table from Module 10 within reach Environment [ ] Camera and screen share tested; second screen or split view arranged [ ] Phone silenced; 60-minute timer ready [ ] Water, and a plan: 10 min map, 30 min build, 15 min gate and log, 5 min note

4. The certificate

In the instructor-led track, the certificate is issued jointly by IEEE Computer Society Region 8 and the AI Caravan programme once you have met the attendance requirement, passed the exam and presented the capstone. It states the track name, the 28 hours, and the three competency areas: workflow mapping, agents and automation, and controls with human-in-the-loop design.

On this site, your progress is tracked in your browser. When every module is marked complete, the certificate page unlocks a self-study completion certificate you can download. It is not the IEEE certificate, but it records that you finished the material and the labs.

After the certificate

The best next step is to run your capstone for real for a month, with the dashboard and the changelog, and then present the numbers to whoever owns the process. That first month of evidence is worth more than any further course. When you are ready for the developer side of the same ideas, the LangGraph tutorial and the MCP guide on this site pick up exactly where this course stops.

Practical lab

A mock practical under exam conditions. Use the sample brief in Section 2, or ask a colleague to write you a fresh one-paragraph process in the same shape. Set a 60-minute timer and do not pause it.

1

Prepare (the day before)

Work through the exam-day checklist above until every box is ticked. Open the templates in tabs.

2

Map (10 minutes)

Sketch the future-state swimlane for the brief. Tag each step and tier each tool. Stop at ten minutes even if it is rough.

3

Build the happy path (30 minutes)

Trigger, AI extraction step with structured output, tracker row, drafted reply. Test with one input until it runs.

4

Gate and log (15 minutes)

Approval on the reply and any forward, full content visible, 24-hour safe timeout, reject path to a "needs human" label, one audit-log row.

5

Note (5 minutes)

Write the five lines: data classes, highest tier, failure behaviour, kill switch, one risk to watch.

6

Mark yourself

Score your work against the 40-mark criteria honestly. Anything under 28 tells you which module to revisit before the real exam. Then take the mock exam below and aim for 14 of 20 or better.

Deliverable

Your mock practical (map, workflow export, approval screenshot, audit row, note) with your self-assessed score, and your mock exam score. Save as M14-mock.

Knowledge check

Pick one answer per question, then check your score. These mirror the style of the final exam.

1. What is the main difference between an automation and an agent?

Why: Module 1: automations follow a fixed recipe; agents choose their own tool calls and stopping point.

2. Which four things make up every agent?

Why: Module 1: the four building blocks are the model, the tools it may call, its memory, and its instructions.

3. In a swimlane map, what does each lane represent?

Why: Module 3: lanes show who or what performs each step, which makes hand-offs visible.

4. A step is tagged "AI" in a future-state map when...

Why: Module 4: rule-based steps have fixed logic, AI steps handle variable text with clear intent, human steps involve judgement with real consequences.

5. In n8n, what starts a workflow?

Why: Module 5: every workflow begins with a trigger; the rest are actions and conditions.

6. Why ask an AI classification step to return structured output such as JSON fields?

Why: Module 6: structured fields make the model's answer usable by the rest of the workflow and by the logs.

7. What is the Model Context Protocol (MCP), in one line?

Why: Module 7: MCP is a universal plug between models and the systems they need to read from or act on.

8. Retrieval-augmented generation (RAG) helps an assistant by...

Why: Module 7: RAG retrieves relevant knowledge at run time; the model is not changed.

9. What is the purpose of an iteration limit on an agent?

Why: Modules 1 and 8: agents loop until done; a ceiling on loops is a basic control.

10. Which multi-agent pattern has one agent assigning tasks to specialised agents and collecting results?

Why: Module 9: the supervisor (or orchestrator) pattern routes work to workers; a critic loop is reviewer-and-revise.

11. Why are always-on personal agents such as OpenClaw or Hermes demonstrated rather than used in the labs?

Why: Module 9 and 11: the concepts (memory, skills, always-on) matter; the install and the security posture do not suit a no-code lab.

12. Sending a customer an email is which risk tier?

Why: Module 10: anything that leaves the organisation is Tier 4 and needs approve-before or edit-then-approve.

13. Which HITL pattern lets the workflow run alone on easy cases and involve a person only on hard ones?

Why: Module 10: escalation depends on the AI step reporting confidence or an "unsure" category.

14. What must an approval message contain?

Why: Module 10: people cannot approve what they cannot see; an empty gate becomes a rubber stamp.

15. What is the safe default when an approval times out?

Why: Module 10: acting on silence turns the gate into a delay.

16. Least privilege for a triage agent means...

Why: Module 11: allowlist tools, one limited credential per workflow, permission mode by tier.

17. Which is the most reliable defence against prompt injection?

Why: Module 11: wording is one layer; permissions and gates decide what an injected agent can actually do.

18. Before sending HR complaint emails to a cloud model you should...

Why: Module 11: personal data is minimised and redacted, and processed where the policy allows.

19. What is a golden set?

Why: Module 12: 20 or more representative items, labelled by more than one person, kept out of the prompt.

20. You change a prompt and want to know if it is safe to keep. What do you do?

Why: Module 12: one change at a time, per-item comparison, keep only if nothing important broke.

Self-check

Answer in your own words first, then open the model answer.

1. Describe the exam in three sentences: parts, timing, pass rules.

Forty multiple-choice questions in 60 minutes worth 60%, then a 60-minute practical worth 40%. Pass is 70% overall. Attendance of 80% and a presented capstone are also required.

2. What is the fastest way to lose ten marks in the practical, and how do you avoid it?

Sending the external message without an approval gate, or with a gate that shows no content. Use the Module 10 send-and-wait pattern with the full draft in the message and a safe timeout.

3. Plan your 60 minutes.

Ten minutes to map and tier, thirty to build the happy path with a structured AI step, fifteen for the gate and audit row, five for the note. Stop each phase on time.

Summary

Key takeaways

  • Theory: 40 MCQs in 60 minutes (60%). Practical: map and build a given process with an approval step in 60 minutes (40%). Pass 70%, attendance 80%, capstone presented.
  • The practical always has the same shape: trigger, text to read, decision, record, message. The gate on the message is worth a quarter of the marks.
  • Do the checklist the day before; ten minutes of logins can cost more than any single criterion.
  • Score at least 14 of 20 on the mock before the real exam, then claim the certificate and run your capstone for real.

Further reading: Your course certificate · LangGraph tutorial · MCP guide