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AI
What artificial intelligence is, how it works, and how to use it wisely.
62 lessons
๐งธ Early Years
Ages 4-6
๐ AI in Our HomesA warm early-years lesson on AI at home: smart speakers, photo helpers, video suggestions and floor robots, how they lis๐คRobots That Help at HomeA warm early-years lesson about robots that help at home: what they do, how they sense the room, follow steps, and why a๐คSmart Machines Around UsA warm early-years intro to smart machines: what they are, where to spot them at home, and how grown-ups stay in charge ๐Teaching a Robot to DanceA playful early-years lesson on teaching a robot to dance: how we give clear steps, repeat moves, fix mistakes, and why ๐บWhat Is a Pattern?A fun early-years lesson on patterns: how things repeat in order, how to spot and finish them, and why patterns help sma๐คWhat Is a Robot?A warm early-years intro to robots: what a robot is, the parts it has, how it follows instructions, and how robots are d๐กWhat Makes Something Smart?A gentle early-years lesson on what 'smart' means: people, animals and machines compared, how smart machines follow step
๐ Primary
Ages 7-10
๐พAI in FarmingHow AI helps farmers grow food: smart cameras that spot weeds, sensors that check soil and water, and robots that help, ๐บ๏ธAI in Maps and TransportHow AI helps maps and transport: finding the fastest route, guessing traffic, predicting arrival times for buses and tra๐ฎAI in Video GamesHow AI works in video games: enemies that chase you, pathfinding, difficulty that changes, and what game AI can and cann๐คAI That Helps PeopleA primary lesson on how AI helps real people: reading text aloud, captions, translation, maps, weather and spam filters,๐Algorithms in AIA friendly primary lesson on algorithms in AI: what a step-by-step recipe is, how computers follow rules, and how AI leaโAsking AI Good QuestionsLearn how to ask AI good questions: be clear and specific, give context, ask for steps, and always check the answer becaโค๏ธCan Machines Have Feelings?A thoughtful primary lesson on whether machines can feel: how AI imitates emotion words, why that is not real feeling, tโ๏ธGames Computers Can PlayLearn how computers play games like chess and Go: searching ahead through moves, scoring positions, learning from practi๐กHow AI Sensors WorkHow AI sensors work: cameras, microphones and other sensors turn the world into numbers so a computer can spot patterns ๐ผ๏ธHow Computers See PicturesDiscover how computers see pictures: tiny pixels, colour numbers, and how AI spots patterns to guess what is in a photo,๐ฌHow Computers Understand LanguageLearn how computers understand language: breaking sentences into tokens, turning words into numbers, spotting patterns, ๐How Does a Self-Driving Car Work?Learn how a self-driving car works: sensors that sense the road, AI that spots cars and signs, planning a safe path, and๐How Does AI Learn?A primary lesson on how AI learns: training data, examples, practice and feedback, getting better over time, and why bad๐ฃ๏ธHow Voice Assistants WorkLearn how voice assistants work: hearing sound, turning speech into words, finding an answer, and talking back, plus pri๐ง Meet Artificial IntelligenceA clear primary-school intro to artificial intelligence: what AI is, where you already see it, how it differs from regul๐คRobots vs AI: What's the Difference?A clear primary lesson on robots versus AI: a robot is a machine body, AI is smart software, how they overlap, real exam๐๏ธTeaching a Computer to SortA hands-on primary lesson on teaching a computer to sort: labels, training examples, features and why good data makes be๐งโ๐ซTeaching Machines with ExamplesHow we teach machines with examples instead of rules: labels, practice, testing and why good examples matter so much for๐What Is Data?A clear primary lesson on what data is: facts and numbers computers store, kinds of data, how AI learns from data, and k
๐ฌ Middle
Ages 11-13
โฟAI and Accessibility: Helping EveryoneHow AI improves accessibility: screen readers, live captions, image descriptions, speech tools and navigation help for p๐AI and the Jobs of the FutureA friendly, balanced look for middle-schoolers at AI and future jobs: which work changes, which new jobs appear, and the๐จAI in Art and MusicHow AI makes art and music: learning patterns from examples, generating new pieces, and honest questions about copying, ๐AI in Everyday LifeA grounded middle-school guide to AI in everyday life: where it really helps, how it works, its real limits and risks, a๐ฆ๏ธAI in Weather ForecastingHow AI helps forecast the weather: a middle-school guide to physics models, machine-learning forecasts like nowcasting, ๐Classification vs PredictionUnderstand the two main jobs of supervised AI: classification sorts things into categories, regression predicts a number๐๏ธComputer Vision and Face RecognitionHow computer vision and face recognition work: from pixels to features to matching faces, plus real limits, errors, bias๐ณDecision Trees ExplainedA clear guide to decision trees in machine learning: how a model learns yes/no questions to sort data, why they are easy๐ฉบHow AI Helps DoctorsA middle-school lesson on how AI supports doctors: reading medical scans, sorting records, predicting risk and speeding ๐๏ธHow AI Recognizes SpeechHow AI recognizes speech, step by step: from sound waves to digital numbers, to phonemes and words, plus why it mishears๐ฏHow Recommendation Systems WorkA middle-school guide to recommendation systems: how YouTube, Netflix and Spotify suggest content using collaborative fi๐How Search Engines WorkA clear middle-school lesson on how search engines work: crawling, indexing, ranking with signals, and how AI shapes res๐งHow Spam Filters WorkHow email spam filters work: a middle-school guide to the rules, machine learning and probability that sort junk mail fr๐How Translation Apps WorkHow translation apps work: from old word-by-word systems to neural machine translation that learns from millions of exam๐คMaking AI Fair for EveryoneA clear middle-school lesson on making AI fair: why AI can be unfair, how biased data causes it, real examples, and what๐ง Neural Networks ExplainedA middle-school guide to neural networks: neurons, weights, layers, activation, and how training with backpropagation le๐ท๏ธSupervised vs Unsupervised LearningA clear guide to supervised vs unsupervised learning: how labelled examples train a model to predict, how unlabelled dat๐ฏTraining, Testing and AccuracyLearn how AI is built: how a model trains on examples, why it must be tested on data it never saw, and what accuracy reaโ๏ธWhat Is Machine Learning?A middle-school guide to machine learning: training data, features, models, neural networks, supervised vs unsupervised
๐ Teen
Ages 14-18
๐A Short History of Artificial IntelligenceA teen timeline of AI history: from Turing and the 1956 Dartmouth workshop through expert systems, AI winters, deep lear๐ผAI and the Future of WorkA balanced, de-hyped look at AI and the future of work: which tasks get automated, what jobs change rather than vanish, โ๏ธAI Ethics and FairnessA grounded teen guide to AI ethics and fairness: bias, transparency, accountability, privacy and power, with real cases ๐AI, Privacy and Your DataHow AI uses your personal data: collection, training, profiling and inference, plus your real rights, the trade-offs, an๐ ๏ธBuilding Your First AI ModelA practical, honest walkthrough of building your first AI model: framing a problem, gathering and splitting data, traini๐ผCareers in AIA teen guide to careers in AI: roles like ML engineer, data scientist, prompt designer, AI ethicist and researcher, plus๐ญDeepfakes and Fake MediaA clear teen guide to deepfakes and fake media: how AI fakes faces, voices and video, why they spread, the real harms, a๐จGenerative AI: Images and TextA teen guide to generative AI: how large language models and diffusion image models work, what prompts do, plus hallucin๐ฌHow Chatbots and Language Models WorkA teen guide to how chatbots and large language models work: tokens, next-word prediction, training, fine-tuning, contex๐How Large Language Models Are TrainedA clear, de-hyped guide to how large language models are trained: tokens, pretraining on next-word prediction, fine-tuni๐Overfitting ExplainedA deep, honest look at overfitting in machine learning: why a model that aces its training data can fail on new data, ho๐ฎReinforcement Learning (Learning by Reward)A clear, honest guide to reinforcement learning: how an AI agent learns from rewards through trial and error, with real ๐งโโ๏ธWho Is Responsible When AI Goes Wrong?A teen guide to AI accountability: when an AI system causes harm, who is responsible? Explore the chain from data to dep๐ฎThe Future of AI and HumansA grounded teen guide to the future of AI and humans: realistic scenarios, the difference between narrow and general AI,๐งThe Limits of AIThe real limits of AI: no understanding, dependence on data, brittleness, hallucination, bias and the things AI genuinelโ๏ธTraining Data and Bias in AIA teen guide to training data and bias in AI: where datasets come from, how sampling, labelling and feedback loops creat๐ก๏ธUsing AI Safely and ResponsiblyA teen guide to using AI safely: privacy, verifying facts, bias, deepfakes, academic honesty, avoiding over-reliance, an