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IA
What artificial intelligence is, how it works, and how to use it wisely.
62 lecciones
🧸 Primeros años
Ages 4-6
🏠AI in Our HomesA warm early-years lesson on AI at home: smart speakers, photo helpers, video suggestions and floor robots, how they lis🤖Robots 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 a🤖Smart 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 💃Teaching 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 🔺What 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 sma🤖What 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 d💡What Makes Something Smart?A gentle early-years lesson on what 'smart' means: people, animals and machines compared, how smart machines follow step
🚀 Primaria
Ages 7-10
🌾AI in FarmingHow AI helps farmers grow food: smart cameras that spot weeds, sensors that check soil and water, and robots that help, 🗺️AI in Maps and TransportHow AI helps maps and transport: finding the fastest route, guessing traffic, predicting arrival times for buses and tra🎮AI in Video GamesHow AI works in video games: enemies that chase you, pathfinding, difficulty that changes, and what game AI can and cann🤝AI That Helps PeopleA primary lesson on how AI helps real people: reading text aloud, captions, translation, maps, weather and spam filters,📋Algorithms in AIA friendly primary lesson on algorithms in AI: what a step-by-step recipe is, how computers follow rules, and how AI lea❓Asking AI Good QuestionsLearn how to ask AI good questions: be clear and specific, give context, ask for steps, and always check the answer beca❤️Can Machines Have Feelings?A thoughtful primary lesson on whether machines can feel: how AI imitates emotion words, why that is not real feeling, t♟️Games Computers Can PlayLearn how computers play games like chess and Go: searching ahead through moves, scoring positions, learning from practi📡How AI Sensors WorkHow AI sensors work: cameras, microphones and other sensors turn the world into numbers so a computer can spot patterns 🖼️How Computers See PicturesDiscover how computers see pictures: tiny pixels, colour numbers, and how AI spots patterns to guess what is in a photo,💬How Computers Understand LanguageLearn how computers understand language: breaking sentences into tokens, turning words into numbers, spotting patterns, 🚗How 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, and📚How Does AI Learn?A primary lesson on how AI learns: training data, examples, practice and feedback, getting better over time, and why bad🗣️How Voice Assistants WorkLearn how voice assistants work: hearing sound, turning speech into words, finding an answer, and talking back, plus pri🧠Meet Artificial IntelligenceA clear primary-school intro to artificial intelligence: what AI is, where you already see it, how it differs from regul🤖Robots 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 exam🗂️Teaching a Computer to SortA hands-on primary lesson on teaching a computer to sort: labels, training examples, features and why good data makes be🧑🏫Teaching Machines with ExamplesHow we teach machines with examples instead of rules: labels, practice, testing and why good examples matter so much for📊What 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
🔬 Secundaria
Ages 11-13
♿AI and Accessibility: Helping EveryoneHow AI improves accessibility: screen readers, live captions, image descriptions, speech tools and navigation help for p🚀AI 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 the🎨AI in Art and MusicHow AI makes art and music: learning patterns from examples, generating new pieces, and honest questions about copying, 🌍AI in Everyday LifeA grounded middle-school guide to AI in everyday life: where it really helps, how it works, its real limits and risks, a🌦️AI in Weather ForecastingHow AI helps forecast the weather: a middle-school guide to physics models, machine-learning forecasts like nowcasting, 🔀Classification vs PredictionUnderstand the two main jobs of supervised AI: classification sorts things into categories, regression predicts a number👁️Computer Vision and Face RecognitionHow computer vision and face recognition work: from pixels to features to matching faces, plus real limits, errors, bias🌳Decision Trees ExplainedA clear guide to decision trees in machine learning: how a model learns yes/no questions to sort data, why they are easy🩺How AI Helps DoctorsA middle-school lesson on how AI supports doctors: reading medical scans, sorting records, predicting risk and speeding 🎙️How AI Recognizes SpeechHow AI recognizes speech, step by step: from sound waves to digital numbers, to phonemes and words, plus why it mishears🎯How Recommendation Systems WorkA middle-school guide to recommendation systems: how YouTube, Netflix and Spotify suggest content using collaborative fi🔎How Search Engines WorkA clear middle-school lesson on how search engines work: crawling, indexing, ranking with signals, and how AI shapes res📧How Spam Filters WorkHow email spam filters work: a middle-school guide to the rules, machine learning and probability that sort junk mail fr🌍How Translation Apps WorkHow translation apps work: from old word-by-word systems to neural machine translation that learns from millions of exam🤝Making 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 what🧠Neural Networks ExplainedA middle-school guide to neural networks: neurons, weights, layers, activation, and how training with backpropagation le🏷️Supervised vs Unsupervised LearningA clear guide to supervised vs unsupervised learning: how labelled examples train a model to predict, how unlabelled dat🎯Training, 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 rea⚙️What Is Machine Learning?A middle-school guide to machine learning: training data, features, models, neural networks, supervised vs unsupervised
🎓 Adolescentes
Ages 14-18
📜A Short History of Artificial IntelligenceA teen timeline of AI history: from Turing and the 1956 Dartmouth workshop through expert systems, AI winters, deep lear💼AI 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, ⚖️AI Ethics and FairnessA grounded teen guide to AI ethics and fairness: bias, transparency, accountability, privacy and power, with real cases 🔒AI, Privacy and Your DataHow AI uses your personal data: collection, training, profiling and inference, plus your real rights, the trade-offs, an🛠️Building Your First AI ModelA practical, honest walkthrough of building your first AI model: framing a problem, gathering and splitting data, traini💼Careers in AIA teen guide to careers in AI: roles like ML engineer, data scientist, prompt designer, AI ethicist and researcher, plus🎭Deepfakes and Fake MediaA clear teen guide to deepfakes and fake media: how AI fakes faces, voices and video, why they spread, the real harms, a🎨Generative AI: Images and TextA teen guide to generative AI: how large language models and diffusion image models work, what prompts do, plus hallucin💬How Chatbots and Language Models WorkA teen guide to how chatbots and large language models work: tokens, next-word prediction, training, fine-tuning, contex📚How Large Language Models Are TrainedA clear, de-hyped guide to how large language models are trained: tokens, pretraining on next-word prediction, fine-tuni📉Overfitting ExplainedA deep, honest look at overfitting in machine learning: why a model that aces its training data can fail on new data, ho🎮Reinforcement Learning (Learning by Reward)A clear, honest guide to reinforcement learning: how an AI agent learns from rewards through trial and error, with real 🧑⚖️Who 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 dep🔮The Future of AI and HumansA grounded teen guide to the future of AI and humans: realistic scenarios, the difference between narrow and general AI,🚧The Limits of AIThe real limits of AI: no understanding, dependence on data, brittleness, hallucination, bias and the things AI genuinel⚖️Training Data and Bias in AIA teen guide to training data and bias in AI: where datasets come from, how sampling, labelling and feedback loops creat🛡️Using AI Safely and ResponsiblyA teen guide to using AI safely: privacy, verifying facts, bias, deepfakes, academic honesty, avoiding over-reliance, an