اقْرَأْAmanahVale
Class 8
The Class 8 book

Building With AI

6 units · 26 lessons · a project to end every unit, and one for the year

Open any lesson to read it the way a student does — one step at a time. Nothing you do here is saved; students work in their own accounts, where their missions, guesses and Checks are kept.

0
Unit 0

Refresher

1 lesson
  1. 0.1Back at the laptopBilal wants to train a model that tells you what's in his bag. Hiba asks one question: who needs that?40 minVideoLaptop missionPictureDebateCheck · 5 questions
1
Unit 1

The AI project lifecycle

5 lessons
  1. 1.1What problem are we solving?Bilal wants a face-recognition camera at the gate. Hiba points at the bin behind the science block. “That's a problem. Yours was a machine.”40 minVideo2 laptop missionsPictureDebateCheck · 6 questions
  2. 1.2Collecting the right data“More data is better, right?” says Bilal, pointing the phone at everyone at the bin. Hiba covers the lens.40 minVideo2 laptop missionsPictureDebateCheck · 7 questions
  3. 1.3Training the model120 photos, all labelled. “Train it on all of them,” says Bilal. “Then how will we ever know if it works?” says Hiba.40 minVideo3 laptop missionsPictureDebateCheck · 5 questions
  4. 1.4How good is it? Evaluating and refining“Ninety-five per cent!” On the photos it studied. On twenty it had never seen: thirteen right.40 minVideo3 laptop missionsPictureDebateCheck · 5 questions
  5. 1.5Putting it to work, and keeping it working85% in October. Then December: gloves, dark photos, foil wrappers. “It's broken!” “No — the bin changed, and nobody told the model.”40 minVideo3 laptop missionsPictureDebateCheck · 5 questions
  6. Unit projectOne problem, all six stages
2
Unit 2

Building with no-code AI

5 lessons
  1. 2.1AI for the environmentWeed presses against the shikara. Bottles, a chips packet, a slipper caught in it. “Somebody should count all this.” A machine could.40 minVideoLaptop missionPictureDebateCheck · 7 questions
  2. 2.2AI in healthcare and education“The computer said the doctor should see me,” says Nani. “So it decided you're ill?” “No. It said look at this one. The doctor decides.”40 minVideoLaptop missionPictureDebateCheck · 7 questions
  3. 2.3Building a classifier that worksHiba holds a leaf up to the window. “Hazardous, 96%.” Twenty-eight photos, one desk, four minutes — the model learned the desk.40 minVideo2 laptop missionsPictureDebateCheck · 6 questions
  4. 2.4How good is it, really?“Ours is 96%!” “On what?” One bottle, one moment. On fifteen held-back items: 80% — and it missed every battery.40 minVideo2 laptop missionsPictureDebateCheck · 5 questions
  5. 2.5Automation around usThe bell rings at 10:30 even when eleven children made it through the snow. “It should know.” “It's a timer. It has one job.”40 minVideo2 laptop missionsPictureDebateCheck · 5 questions
  6. Unit projectA sorter the school could use
3
Unit 3

Generative AI

5 lessons
  1. 3.1What "generative" means“I will come…” and the phone offers: home · tomorrow · later. “It knows what I want to say!” Does it?40 minVideoLaptop missionPictureDebateCheck · 5 questions
  2. 3.2Writing with AI, honestlyThe notice is beautifully written. The date is wrong, the school has no auditorium, and nobody promised refreshments.40 minVideoLaptop missionPictureDebateCheck · 5 questions
  3. 3.3Images that were never photographedSnow on the peaks, the chinar at its reddest, lotus on the water — three different months in one “photograph”.40 minVideoLaptop missionPictureDebateCheck · 5 questions
  4. 3.4Deepfakes and misinformationIt's the head teacher's voice: “School will remain closed tomorrow.” He never recorded it.40 minVideoLaptop missionPictureDebateCheck · 5 questions
  5. 3.5Hallucination: confident and wrongThe king is right. The architect never existed. The arches belong to someone else's bridge. Not one “perhaps”.40 minVideoLaptop missionPictureDebateCheck · 5 questions
  6. Unit projectThe fact-check desk
4
Unit 4

Data and fairness

5 lessons
  1. 4.1Where AI gets its data2.4 million plant photos trained the app. Nobody says who took them. Somewhere in there might be your chinar.40 minVideoLaptop missionPictureDebateCheck · 5 questions
  2. 4.2Finding bias in a dataset“I knew it was unfair,” says Bilal. “Knowing isn't showing,” says Hiba. One formula later: Delicious 214, Ambri 9.40 minVideoLaptop missionPictureDebateCheck · 5 questions
  3. 4.3Fixing what we can“So we send them more Ambri photos. Problem solved.” “Maybe. Let's find out.”40 minVideoLaptop missionPictureDebateCheck · 5 questions
  4. 4.4Inclusivity: who is left out?She draws a kangri. “Bucket? Basket? Purse? Lantern?” It never gets there. It has never seen one.40 minVideoLaptop missionPictureDebateCheck · 5 questions
  5. 4.5Accountability: who answers for it?The app said healthy — in green, with a tick. It wasn't. The company, the shop and the officer all have an answer ready.40 minVideoLaptop missionPictureDebateCheck · 5 questions
  6. Unit projectAudit a tool for fairness
5
Unit 5

Responsible AI

5 lessons
  1. 5.1Privacy in an AI worldDanish pasted his whole essay into a free app — name, birthday, village and all. "It even remembered it from last week." Remembered it where?40 minVideo2 laptop missionsPictureDebateCheck · 5 questions
  2. 5.2Check before you shareFive messages in the family group before breakfast. A ₹10,000 scholarship, a collapsed bridge, a miracle cure, a school notice, a teacher's voice. Uncle has forwarded four.40 minVideo2 laptop missionsPictureDebateCheck · 5 questions
  3. 5.3AI and workFour months to embroider one shawl. In the bazaar: one that looks the same, at a fifth of the price, labelled "Kashmiri handmade". So the machine wins?40 minVideo2 laptop missionsPictureDebateCheck · 5 questions
  4. 5.4The environment costs somethingThe lab's power is off again. "At least the AI still works — it doesn't use our electricity." Then whose does it use?40 minVideo2 laptop missionsPictureDebateCheck · 5 questions
  5. 5.5Our class AI charterThe head teacher has a problem: teachers and parents are asking about AI, and she has no rules. "You've studied it all year. Write me rules I can put on a wall — and actually follow."40 minVideo2 laptop missionsPictureDebateCheck · 5 questions
  6. Unit projectShould our school say yes?
Year projectAn AI for our communityChoose a problem you can see. Photograph it, train a model, test it on photos it has never seen — then stand up and say exactly where it fails.