The AI Fundamentals Quiz (Level 1) is the entry point to your AI Skills Portfolio. It tests conceptual understanding — not coding or tool proficiency. Candidates who pass on their first attempt tend to share one habit: they study the *why* behind AI, not just the *what*.
What the quiz covers
Level 1 tests five core areas:
1. AI model types — Know the difference between generative AI, discriminative models, and reinforcement learning. You don't need to explain the math, but you do need to know which type of model you'd reach for in a given scenario (e.g., "a model that generates product descriptions" vs. "a model that classifies customer sentiment").
2. Foundational concepts — Tokens, context windows, temperature, hallucination, embeddings, vector search. These terms come up in almost every question. If you see "context window" and your first thought is "the browser window," spend 30 minutes on this before attempting the quiz.
3. Use cases by industry — The quiz presents real business scenarios and asks which AI approach fits. Marketing, HR, legal, finance — knowing one or two concrete examples per sector puts you in a strong position.
4. Limitations and risks — Hallucination, bias, data privacy, and the importance of human oversight. Questions often ask you to identify what could go wrong with a proposed AI solution.
5. Prompt basics — Not full prompt engineering (that's Level 3), but you should understand what a system prompt is, why specificity matters, and what "zero-shot" means.
How scoring works
Each quiz has 20 questions. You need 70% or higher to pass. The score is calculated immediately when you submit. Each question is weighted equally — there's no partial credit.
One important note: the questions are AI-generated for each attempt, so the exact wording changes between sessions. Memorising specific answers won't help. Understanding the concepts will.
Study plan (3–5 hours total)
Hour 1: Read Anthropic's model card for Claude and OpenAI's GPT-4 technical report introduction. Both are free and written for non-engineers.
Hour 2: Watch one "AI for business" explainer on YouTube (search "AI fundamentals for non-technical"). The goal is hearing these concepts explained in plain language before you read technical definitions.
Hour 3: Go through the Anthropic Prompt Library (anthropic.com/prompts). Don't copy the prompts — read them and ask yourself *why* each prompt is structured the way it is.
Hour 4–5: Practice explaining each concept out loud as if you're teaching it. If you can explain it simply, you understand it well enough to answer a multiple-choice question about it.
Common mistakes
- **Overthinking "trick" questions** — most questions have one clearly correct answer. If you find yourself debating between two options, the safer choice is usually the one that mentions human oversight or acknowledges a limitation.
- **Skipping the limitations section** — candidates who study use cases but skip risks tend to lose 3–4 points on this section alone.
- **Rushing** — you have no time limit, so don't create one. Read every option before selecting.
After you pass
Level 1 unlocks Level 2 (AI Tools & Platforms). Most candidates find Level 2 more practical and therefore easier — you're evaluating tools you may already use. Aim to complete Levels 1–3 within your first two weeks on the platform.