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Level 3 of 11 · AI Basics lab

Data and labels: what we see and what we want to say

Level 3 of 11 in the AI Basics lab: a free AI basics exercise at Foundation level, which takes about 12 minutes. Choose the label and the features from a table of parts, and catch the column that gives the answer away.

12 minFoundationNot started

Goal

Choose the label and the features from a table of parts, and catch the column that gives the answer away.

Done when

The acceptance test marks the skills this level practises.

  • Labels and features
  • Data leakage
  • Choosing columns

Skills

  • Labels and features
  • Data leakage
  • Choosing columns

Before you start

Level 2, Teach a camera to spot a dented part, comes first. Do it first if the ideas are new to you.

Start Data and labels: what we see and what we want to saySee all 11 levels

Free, in your browser, nothing to install. Your work is saved on this device. Updated 1 Nov 2026.

11 levels

Levels in the AI Basics lab

Learn what AI is by playing with it: teach a camera, watch a model learn, test it and check it is fair.

  1. Start What is AI? Rules or learning from examples
  2. Start Teach a camera to spot a dented part
  3. Start Data and labels: what we see and what we want to say
  4. Start Watch a model learn, then watch it memorise
  5. Start Is it any good? Catches, false alarms and the threshold
  6. Start Is it fair? Check a CV screen for a hidden proxy
  7. Start Words become numbers: tokens and a meaning map
  8. Start How a chatbot picks its next word
  9. Start Answer from a manual: retrieval with sources
  10. Start An AI agent at work: tools and guardrails
  11. Start Ship it and watch it: drift and a model card
Previous level 2Teach a camera to spot a dented partNext level 4Watch a model learn, then watch it memorise

Part of the AI Basics lab

Learn what AI is by playing with it: teach a camera, watch a model learn, test it and check it is fair.

Feeds these internships (training, not employment): AI and Machine Learning, Data Science and Analytics, Generative AI and Prompt Engineering, AI Agents and Automation, Computer Vision, AI for Finance and Accounting, AI for HR and Recruitment, AI for Digital Marketing and Content, AI in Healthcare and Pharma, AI for Project Management.

About the AI Basics lab

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