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Tokenline

Learning hub

Three lines. One destination.

Each line is a module and each station is a short, interactive lesson. Ride them in any order — about 2.1 hours of learning in total.

Your route map

Filled stations are lessons you've completed. The yellow ring marks your next stop.

AI ScholarFinal Challenge
  • Line 1: AI Fundamentals
  • Line 2: AI Tools & Techniques
  • Line 3: Ethical & Responsible AI

Start here · Line 1

What Is Artificial Intelligence?

Sort out what AI, machine learning, deep learning and generative AI actually mean — and what AI is not.

Line 1

AI Fundamentals

Find out what AI actually is, how machine learning turns examples into predictions, and why large language models sound so fluent — and still make mistakes.

6 lessons · about 41 min

6 lessons
  1. 01What Is Artificial Intelligence?Sort out what AI, machine learning, deep learning and generative AI actually mean — and what AI is not.Not started
  2. 02Machine Learning BasicsSee how computers learn from labeled examples, and how a trained model makes predictions about things it has never seen.Not started
  3. 03Training Data: You Are What You Learn FromDiscover why the amount, quality and variety of training data decide how well — and how fairly — a model works.Not started
  4. 04Neural Networks, ConceptuallyBuild intuition for how artificial neurons weigh inputs, stack into layers, and learn by adjusting their weights.Not started
  5. 05Generative AI & Large Language ModelsLook inside chatbots: how text becomes tokens, how models predict the next token, and why fluent doesn't mean correct.Not started
  6. 06Strengths & Limits of AILearn where AI shines, where it breaks, and why people stay responsible for how it's used.Not started

Line 2

AI Tools & Techniques

Learn how AI assistants handle your requests, write prompts that get useful results, and use AI to study, brainstorm, research and code — then check the output.

6 lessons · about 42 min

6 lessons
  1. 01How AI Assistants WorkFollow a message from your keyboard through the model and back — and learn why the same question can get different answers.Not started
  2. 02Prompt Design: Goal, Context, Format, LimitsTurn vague requests into clear prompts using a four-part checklist, then improve results by iterating.Not started
  3. 03Breaking Down Complex TasksSplit big assignments into small, checkable steps — and keep your own thinking in the driver's seat.Not started
  4. 04AI for Studying & BrainstormingUse AI as a practice partner and idea generator — without letting it do your thinking for you.Not started
  5. 05AI for Research & CodingUse AI as a starting point for research and a helper for code — while finding real sources and testing everything.Not started
  6. 06Verifying AI OutputCheck AI answers claim by claim using lateral reading and the SIFT moves.Not started

Line 3

Ethical & Responsible AI

Spot hallucinations and bias, protect your privacy, cite AI honestly, recognize deepfakes, and decide when a human — not a model — should make the call.

6 lessons · about 43 min

6 lessons
  1. 01Hallucinations: When AI Sounds Sure and Is WrongWhy AI tools sometimes invent facts, sources and quotes — and how to catch it before it ends up in your work.Not started
  2. 02Bias & Fairness: Whose Patterns Does AI Learn?How unfair patterns get into AI systems, why they matter when AI makes decisions about people, and what fairness checks look like.Not started
  3. 03Privacy: What Not to Tell a ChatbotWhat can happen to what you type into AI tools, and a simple rule for deciding what to share and what to shield.Not started
  4. 04Academic Integrity: Using AI Without Cheating YourselfHow to tell helpful AI use from dishonest use, follow your teacher's policy, and disclose and cite AI when you use it.Not started
  5. 05Deepfakes, Copyright & MisinformationHow AI-generated images, audio and video can mislead, how to check before you share, and the open questions around AI and creators' rights.Not started
  6. 06Human Oversight: Knowing When Not to Use AIWhy people must stay accountable for important decisions, what "human in the loop" means, and situations where AI is the wrong tool.Not started

Terminal station

The AI Scholar Final Challenge

Twelve questions that pull ideas from all three lines. Pass it after completing every lesson to earn the AI Scholar badge.

View the challenge