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Why This Matters

You've covered the foundations: what AI actually is, how it works mechanically, how to prompt effectively, where it's strong and where it fails, how to build daily habits, and how to use it responsibly. Now it's time to test how well you've integrated it. This isn't a multiple-choice quiz — it's a practical demonstration of what you can actually do.

The Concept

What the Foundations Assessment Measures

This assessment covers three types of competency that Foundations has built:

Conceptual Understanding

Can you accurately explain what AI is, how it works, and why it behaves the way it does? This includes: the prediction engine model, context windows and memory, hallucination and its causes, training data bias, and the distinction between AI's strengths and limitations.

Practical Prompting Skill

Can you construct prompts that reliably produce useful output? This includes: applying the RTF pattern, using role specification, providing appropriate context, specifying output format, and iterating effectively when the first response isn't right.

Critical Evaluation

Can you evaluate AI outputs accurately and responsibly? This includes: identifying hallucination risks, applying the verification habit, making disclosure decisions, and maintaining accountability for AI-assisted work.

Assessment Format

The assessment has four parts:

  1. Concept check (5 questions) — Short answer questions testing your understanding of core concepts. Write your answers before looking anything up.
  2. Prompt critique (3 examples) — Review three prompts and identify what's missing and how you'd improve each one.
  3. Real task — Complete a real task using AI with the approach you'd use in your actual work. Document your prompt, the output, any follow-ups, and your evaluation of whether the output was ready to use.
  4. Reflection — A 200-word reflection on the biggest shift in how you think about or use AI since starting Foundations.

After the Assessment

Once you've completed Foundations, you're ready for AI~Workflows — the Tier 4-6 track focused on consistent excellence, workflow integration, and critical evaluation. You'll move from competent use to systematic productivity.

What "passing" looks like

There's no numerical pass/fail in this assessment. The standard is: can you demonstrate the core competencies through your actual work?

The concept check requires accurate, specific answers — not perfect recall of phrasing, but genuine understanding of the ideas.

The prompt critique requires identifying specific, actionable improvements — not just "this prompt could be better" but "this prompt needs a role because without it the AI will default to generic phrasing, and it needs a format spec because a bullet list would be more usable than a paragraph here."

The real task requires showing your work — the prompt, the output, and your assessment of whether it was good enough to use.

The reflection requires honesty — what actually changed for you, not what sounds like the right answer.

Hands-On Exercise

Foundations Assessment

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Complete all four parts: **Part 1 — Concept Check (write answers before looking back at the lessons):** 1. In one sentence, what is a Large Language Model actually doing when it generates text? 2. Why does AI sometimes state false information with complete confidence? 3. What is a context window and why does it matter for how you use AI? 4. Name two types of AI output you should always verify before using professionally. Explain why for each. 5. What is the difference between augmenting your work with AI versus replacing your judgment with AI? **Part 2 — Prompt Critique (improve each of these prompts):** - "Write a summary." - "Help me with my presentation." - "What should I do?" For each: identify what's missing and write an improved version for a real use case from your own work. **Part 3 — Real Task:** Choose a real task from your work. Use AI to complete it, documenting: your initial prompt, the output, any follow-up prompts, and your assessment of whether the output was ready to use or needed more work. **Part 4 — Reflection:** In 200 words: what is the single biggest shift in how you think about or use AI since starting this course?
Take the time this deserves. The reflection especially — write what's actually true for you, not what sounds like the right answer.
Active Recall

Before moving on — close this lesson and answer these from memory. Then come back and check. Testing yourself (not re-reading) is how this sticks.

1 Looking back across all 12 modules: what is the single most important idea in Foundations? Why that one?
2 If you had to teach the most important concept from Foundations to a colleague who has never used AI — in three minutes, without jargon — what would you say?
Reflection

Foundations complete. You now have the mental model, the prompting fundamentals, and the critical evaluation habits to use AI effectively and responsibly. What do you want to do with it? What problem will you solve first that you couldn't have solved as well before?

Key Takeaway

Foundations gives you the model, the fundamentals, and the judgment. The next step — AI~Workflows — builds on this to develop consistent excellence, workflow integration, and critical evaluation at the intermediate level.