--- title: "AI Classes for Kids in Canada: What Children Learn and Build" description: "AI classes for Canadian kids aged 8 to 12: the age rules in OpenAI, Anthropic and Google's own terms, what children build, and a Victoria tree project tested fairly." canonical: https://learn.modernagecoders.com/ai-classes-for-kids-in-canada source: src/pages/ai-classes-for-kids-in-canada.html --- > AI classes for Canadian kids aged 8 to 12: the age rules in OpenAI, Anthropic and Google's own terms, what children build, and a Victoria tree project tested fairly. In short AI classes for kids in Canada show 8 to 12 year olds how a machine learns from examples, how to test it, and why it can be confidently wrong, through small projects they build themselves, without adult chatbot accounts. Modern Age Coders offers this live online, as a group class or one to one, in AI Literacy for Kids. Courses for curious children ## Three AI courses for Canadian children One built entirely around understanding AI, one that teaches typed Python with AI projects at the end, and one long coding course in which children train their own small models. [![AI Literacy for Kids (Ages 8 to 14) course thumbnail](/images/ai-literacy-for-kids.webp) AKC / 01 AI Literacy for Kids Ages 8 to 14, no coding needed. Sixteen weeks in three phases: how a machine learns, where AI goes wrong, then a project the child builds and presents. Open the syllabus →](/courses/ai-literacy-for-kids-course)[![Python and AI for Kids course thumbnail](/images/python-kids.webp) AKC / 02 Python and AI for Kids For 9 to 12 year olds. Python typed from the first lesson, turtle art and games, and a final phase of kid-safe AI projects. Open the syllabus →](/courses/python-ai-kids-masterclass)[![Coding for Kids course thumbnail](/images/kids-coding.webp) AKC / 03 Coding for Kids From age 6 up to 12. Scratch and games first; later, children train image and sound models with Machine Learning for Kids and Teachable Machine and use them in their own games. Open the syllabus →](/courses/kids-coding-blocks-masterclass) What the companies allow ## AI tool age rules, in the companies' own words Parents are often told that a child "can use" a chatbot. The companies' terms are more specific. These lines are copied from each company's current terms or help pages, read on 22 October 2026. Where a page gave no clear age, we say nothing. | Tool | What the company says | What it means for a child under 13 | | --- | --- | --- | | ChatGPT (OpenAI) | "ChatGPT is not meant for children under 13, and we require that children ages 13 to 18 obtain parental consent before using ChatGPT." | Not for them. In a classroom for under-13s, OpenAI says "the actual interaction with ChatGPT must be conducted by an adult." | | OpenAI services generally | "You must be at least 13 years old"; "If you are under 18 you must have your parent or legal guardian's permission to use the Services." (terms effective January 1, 2026) | No account of their own | | Claude (Anthropic) | "You must be at least 18 years old or the minimum age required to consent to use the Services in your location, whichever is higher." (effective Oct 8, 2025) | Not for children or teenagers at all | | Google Account | "If you're under the age required to manage your own Google Account, you must have your parent or legal guardian's permission to use a Google Account." (effective July 30, 2026) | A parent decides, and supervises | | Gemini Apps with a Google AI plan | "To use Gemini Apps with a Google AI plan in most countries, you must be 13 (or the applicable age in your country)" | The paid plan is not for under-13s | ### What we do with these rules We follow them, and our courses are written around them. The AI Literacy for Kids syllabus says it never asks a child to create an account on a service that does not permit their age. Younger children see adult chatbots only when the teacher runs them on screen, which is exactly the arrangement OpenAI describes for classrooms with children under 13. We never recommend Claude; that is our rule as much as Anthropic's. It is an 18-and-over product, and no page or class of ours for children or teens suggests it. ### Why the rules help, not hinder A child who cannot open a chatbot is not missing the important part. The important part of AI, for a ten year old, is the idea that a machine learns a pattern from examples, and that the pattern can be wrong. That idea can be taught with a spreadsheet, a few photos and some patience. Children who understand it are better protected later, when they are old enough for the tools: they know to ask where an answer came from and how it was checked. Sources: [OpenAI help centre](https://help.openai.com/en/articles/8313401-is-chatgpt-safe-for-all-ages); [OpenAI Terms of Use](https://openai.com/policies/terms-of-use/); [Anthropic Consumer Terms](https://www.anthropic.com/legal/consumer-terms); [Google Terms of Service](https://policies.google.com/terms); [Gemini Apps Help](https://support.google.com/gemini/answer/14517446). All read 22 October 2026. Terms change; check each page before a child signs up for anything. AI in Canadian schools ## Where AI already appears in Canadian school documents No province we read has a separate AI subject for elementary children, but AI is starting to appear inside existing courses. These are the lines we found in the provincial documents on 22 October 2026. | Province and grade | Document | What it asks | | --- | --- | --- | | Ontario, Grade 6 | Science and Technology (2022), A2 | "use coding in investigations and to model concepts, and assess the impact of coding and of emerging technologies on everyday life" | | Alberta, Grades 7 to 9 (draft) | Renewed curriculum | Topics "like artificial intelligence, computer science and money management", "ahead of mandatory implementation in September 2027" | | Ontario, Grade 10 | ICD2O (2023) | "investigate current and emerging innovations in digital technology, including automation and artificial intelligence, and assess their benefits and limitations" | | New Brunswick, high school | Computer Science 110 | Coding with "AI-assisted debugging tools" | | Every province | The Canadian Computing Competition rules | Generative AI is forbidden during the contest | ### The thread running through them Read together, the lines ask the same thing at rising levels: understand the technology, then judge it. Ontario's Grade 6 science wants children to "assess the impact" of emerging technologies; Ontario's Grade 10 course wants students to weigh AI's "benefits and limitations". Neither asks a child to be a skilled chatbot user. That is why our AI classes for children spend as much time on where AI goes wrong as on what it can do. ### For families outside Ontario and Alberta We could not read primary elementary documents for the other provinces that day, so we describe none. In practice, children in every province meet the same ideas through news, games and siblings, and the questions they ask are the same in Halifax as in Kelowna. Our classes are not tied to any province's curriculum and do not replace school. They give children the understanding the school documents point towards. Sources: Ontario curriculum [Science and Technology, Grade 6](https://ws.api.dcp.edu.gov.on.ca/content/api/items/e___sci___tech___grade_6___strands?depth=4) and [ICD2O](https://ws.api.dcp.edu.gov.on.ca/content/api/items?system.type=l2___course&elements.code=ICD2O&depth=0) data; [Alberta curriculum](https://www.alberta.ca/curriculum-how-we-got-here); [New Brunswick Computer Science 110](https://curriculum.nbed.ca/learning-areas/high-school-block/career-connected-learning/digital-and-information-technology/computer-science-110/); [CCC rules](https://cccgrader.com/rules.pdf). Read 22 October 2026. Modern Age Coders has no link to any ministry or to CEMC. What children build ## What a child of 8 to 12 actually builds in an AI class A good AI class for children is mostly making, testing and arguing about results. The projects below come from our own course syllabuses; the age bands are our guidance. | Age | Project | The idea underneath | | --- | --- | --- | | 8 to 9 | An "AI spotting hunt": find five AI systems used this week and say what each one decides | AI is everywhere, and each system makes a specific decision | | 8 to 10 | Sorting everyday examples into rule-following or learning-from-examples | The difference between a rule a person writes and a pattern a machine finds | | 9 to 11 | Training a small image or sound model, then using it inside a block-coded game | A model is only as good as the examples it was shown | | 9 to 12 | Training a model on lopsided data on purpose, then showing the class how it fails | Bias comes from the data, not from the machine being unkind | | 10 to 12 | Typed Python that learns from a real table of examples, tested on new ones | Test on examples the model has never seen, and compare it with a simple rule | ### Learn How a machine turns examples into a pattern, taught with cards, drawings and tiny datasets before any screen. ### Doubt Why an AI can be confident and wrong: missing examples, lopsided examples, and questions it was never trained on. ### Explain Every child presents a project and answers two questions: how did you test it, and when does it fail? A real project ## Garry oak or Douglas fir? A tree guesser on Victoria's data The City of Victoria publishes a database of its trees under a licence that allows commercial reuse, with each tree's species, height and crown width. With 10 to 12 year olds we turn it into the simplest kind of machine learning there is: look at examples, find the closest one, copy its answer. Then we test it fairly. We wrote the program; each result comes from running it on the city's copy fetched 22 October 2026. **The question:** given only a tree's height and width in metres, can the computer tell a Garry oak from a Douglas fir? The file has 5,200 Garry oaks and 1,300 Douglas firs, all with both measurements. A typical Garry oak in the file is 9 metres tall; a typical Douglas fir, 16. ***Our program · tree_guesser.py**python* ``` # Our tree guesser: Garry oak or Douglas fir? (Modern Age Coders, written for this page) import csv oaks, firs = [], [] with open("victoria-trees.csv", encoding="utf-8-sig") as f: for row in csv.DictReader(f): try: tree = (float(row["Height"]), float(row["Width"])) except ValueError: continue # skip trees with a missing measurement if row["CommonName"] == "Garry oak": oaks.append(tree) elif row["CommonName"] == "Douglas fir": firs.append(tree) # Examples to learn from, and different trees to test on. Same number of each kind. train = [(t, "oak") for t in oaks[:600]] + [(t, "fir") for t in firs[:600]] test = [(t, "oak") for t in oaks[600:900]] + [(t, "fir") for t in firs[600:900]] def guess(tree): # Find the training tree whose height and width are closest, and copy its answer. closest = min(train, key=lambda ex: (ex[0][0] - tree[0]) ** 2 + (ex[0][1] - tree[1]) ** 2) return closest[1] def my_rule(tree): return "fir" if tree[0] > 12 else "oak" # a rule a child writes by hand for name, method in [("nearest neighbour", guess), ("hand rule", my_rule)]: right = sum(1 for tree, answer in test if method(tree) == answer) print(name, right, "of", len(test), "right") print("test on the training trees:", sum(1 for t, a in train if guess(t) == a), "of", len(train)) ``` ***Output, Victoria tree file**text* ``` nearest neighbour 351 of 600 right hand rule 394 of 600 right test on the training trees: 930 of 1200 ``` The learned guesser gets 351 of 600 new trees right. The child's one-line rule gets 394. On trees it has already seen, the guesser looks far better: 930 of 1200. | Method | Right out of 600 | What it teaches | | --- | --- | --- | | Always guess "oak" | 300 | The test set is half oaks and half firs, so guessing one answer gets exactly half right | | Nearest neighbour, oaks listed first | 351 | It guessed oak 537 times, because many trees share the same measurements and ties went to whichever tree came first | | Nearest neighbour, firs listed first | 373 | Same method, different order, different score: a sign the method is fragile | | Vote of the 31 nearest trees | 383 | Asking many neighbours smooths out the ties | | Hand rule: taller than 12 m means fir | 394 | A child who looked at the data and thought about it beat every learned version | ### Why the computer lost, and why that is good Heights and widths in the file are recorded in whole metres, so the 1,200 training trees have only 242 different pairs of measurements. Lots of oaks and firs look identical to the program. When two examples are equally close, our first version simply took the one it met first, and the oaks were listed first. Children usually expect the "AI" to win. Watching it lose to their own rule, and then finding the reason, teaches more about machine learning than any winning demo: a model only knows what its examples can show, and a fair test is the only way to find out. ### The trap every adult falls into too Tested on its own training trees, the guesser scores 930 of 1200, which looks impressive. On new trees it drops to 351 of 600. That gap is why the program keeps the test trees separate, and why we ask children, "would you trust a spelling test where you saw the answers first?" The same lesson sits behind every serious AI system: report the score on examples the model has never seen, next to a simple rule it has to beat. Data: [City of Victoria open data](https://hub.arcgis.com/datasets/36e90771770542baaa89afddce69195a_15), Tree Species (parks trees database). Contains information licensed under the Open Government Licence, City of Victoria. Reuse is permitted "including for commercial purposes". The guesser and its scores are ours; the City of Victoria does not endorse this page. Try it at home ## A learn-from-examples game for the kitchen table No screen needed. This is our own activity, and it contains the whole idea of the Victoria project in twenty minutes. 1. **Collect examples.** Cut out or draw 20 pictures of animals. On the back of each, write one fact: "lives in water" or "lives on land". 2. **Split them.** Put 12 pictures in a "learning" pile and 8 in a "test" pile. Do not peek at the test pile. 3. **Learn a pattern.** The child studies the learning pile, front and back, and writes one rule, for example "if it has fins, it lives in water". 4. **Test fairly.** Turn over the test pictures one at a time. The child applies the rule to the front only, then checks the back. Count how many were right out of 8. 5. **Find the failure.** Which test picture fooled the rule? A penguin, a frog, a whale? Change the rule and test again on new pictures, not the same ones. 6. **Cheat on purpose.** Now test the rule on the learning pile. It scores higher. Ask why that score should not be trusted. Step 6 is the most important. It is the kitchen-table version of the 930 against 351 in the Victoria project, and children who have done it once rarely forget it. Thinking, not copying ## Children who understand AI, rather than children who copy from it Our promise to families in Canada and everywhere else is that children learn to reason their own way to an answer; copying one, from a person or from an AI, is not the goal. For an AI class that means three things. ### The child does the reasoning In every project, the child decides what the examples are, what the rule should be and how to test it. A tool can help with the counting; it never makes those choices. ### Every result is questioned A score is never accepted on its own. "Compared to what? Tested on which examples?" are questions children learn to ask about their own models first. ### Mistakes are the material A model that fails is the most useful thing in the room. Children are asked to make one fail on purpose and explain it. ### What we tell parents about chatbots Under 13, the companies we checked say no account, and OpenAI says an adult must run the interaction in a classroom. Between 13 and 17, OpenAI requires a parent's consent; Claude remains closed until 18. These are the companies' rules, not ours, and they are the minimum. If your child is curious, sit with them, ask the chatbot something you both know the answer to, and look for the mistake together. That is an AI lesson in itself. ### Why this protects a child later A child who has trained a guesser and watched it fail understands, years before anyone else in their class, that an AI answer is a guess built from examples. That child asks better questions when they are finally old enough to use the tools. Our teachers report each class to parents in a few plain lines: what the child built, what failed, and what the child concluded. Every time zone ## Fitting AI classes into a Canadian child's week Children join from every province. We book each class in the family's own time and recheck it when Eastern and Atlantic clocks change; much of the West no longer changes at all. | Families in | Clock on 1 November 2026 | Clock on 14 March 2027 | | --- | --- | --- | | Victoria, Vancouver, Whitehorse | Stays at UTC-7 | Stays at UTC-7 | | Calgary, Edmonton, Regina | Stays at UTC-6 | Stays at UTC-6 | | Winnipeg | Stays at UTC-5 (no change this year) | Stays at UTC-5 | | Toronto, Montreal, Ottawa | Goes back to UTC-5 | Goes forward to UTC-4 | | Halifax, Moncton, Charlottetown | Goes back to UTC-4 | Goes forward to UTC-3 | | St. John's | Goes back to UTC-3:30 | Goes forward to UTC-2:30 | For children aged 8 to 12 we suggest a weekend morning or the first hour after school. A child in Victoria and a child in Calgary are one hour apart all year now, since both provinces keep one clock. Four ideas ## Four ideas a child should own by 12 Our milestones for an AI class, used to place a child and to report progress. | Idea | The child can say | | --- | --- | | 1. Rules or examples | "This program follows a rule a person wrote; that one learned from examples." | | 2. Examples decide | "It got this wrong because it never saw one like it." | | 3. Test fairly | "You have to test on examples it has not seen." | | 4. Beat a simple rule | "It is only good if it does better than an easy guess." | ### For parents Idea 3 is the one most adults never learn. A child who owns it will read every AI headline more carefully. Progress is measured in what the child can explain, not in how many tools they have tried. ### For children When your model gets something wrong, do not fix it straight away. First say why it went wrong. Always keep some examples hidden for testing. If you peek, the test is spoiled. More for children ## Nine more courses for Canadian children All live with one regular teacher, in a batch or one to one, for children in any province or territory. I ### Thinking skills Ages 6 to 12 AKC / THINK / 01 #### Computational thinking Breaking problems down, from age 7. [Open the syllabus](/courses/problem-solving-and-computational-thinking-for-kids) AKC / THINK / 02 #### Scratch coding Three to four months of block games. [Open the syllabus](/courses/scratch-programming-complete-course) AKC / THINK / 03 #### Math with Python Numbers and patterns in code, 10 to 15. [Open the syllabus](/courses/maths-through-coding)II ### Make things Ages 7 to 12 AKC / MAKE / 01 #### Making games Logic in Scratch, then 3D worlds, 8 to 12. [Open the syllabus](/courses/game-development-masterclass-for-kids) AKC / MAKE / 02 #### Phone apps with blocks Real apps without typing, 8 to 12. [Open the syllabus](/courses/block-coding-app-development-masterclass) AKC / MAKE / 03 #### Coding in Minecraft A world children already know, 7 to 12. [Open the syllabus](/courses/minecraft-coding-for-kids-course)III ### Typed code Ages 9 to 14 AKC / CODE / 01 #### Websites for kids A first site of their own, 9 to 12. [Open the syllabus](/courses/kids-ai-web-development-course) AKC / CODE / 02 #### C++ for young coders Puzzles and games in C++, 9 to 12. [Open the syllabus](/courses/cpp-programming-for-kids-course) AKC / CODE / 03 #### Roblox scripting Luau scripts for real games, 8 to 14. [Open the syllabus](/courses/roblox-game-coding-for-kids-lua-course) How classes run ## Live AI classes built for children Weekdays or weekends, flexible: choose your batch, or for a very personalised plan choose 1-on-1 at your convenience, weekend mornings or weekdays. Weekdays The hour after school, in your own zone. Weekends Mornings, when children concentrate well. 1-on-1 For a child who wants their own project and pace. ### No adult accounts Nothing a child's age does not allow. ### Teacher-run demos Chatbots appear only on the teacher's screen. ### Models they train Small image, sound and table models of their own. ### Fair tests Hidden test examples, every time. ### Parent notes What was built, what failed, what the child concluded. ### Group or solo Fifteen to twenty children, or one child alone. Student work ## Projects from our students Older students take these ideas much further. Some of their projects are below, and the [student labs](/student-labs) page holds more. ![NutriLife AI nutrition coach project screenshot](/images/projects/nutrilife.webp) AI and ML #### NutriLife An AI nutrition coach that reads what you eat and works you toward a target. by Bhavya · [Open it](https://nutrilife-bhavya.lovable.app) ![Misti AI chatbot for maths and coding screenshot](/images/projects/misti.webp) AI and ML #### Misti A chatbot that answers mathematics and programming questions, built and deployed by a student. by Harshit · [Open it](https://misti.modernagecoders.com) ![GuardianX AI internet safety assistant screenshot](/images/projects/guardianx.webp) AI and ML #### GuardianX An assistant that helps a young person recognise unsafe situations online. by Vivaan · [Open it](https://guardianx-cybersaver.lovable.app) ![SkyCast weather forecast application screenshot](/images/projects/skycast.webp) Web app #### SkyCast A weather forecasting site with live conditions for any location. by Krish Fees ## Fees The fee is monthly and covers eight live classes. AI Literacy for Kids runs sixteen weeks, and families pay month by month rather than for the whole course at once. Free first class Free no card required - A free first class - A sorting game that shows how machines learn - No card needed Book it Group batch $140 CAD a month, eight live classes - Fifteen to twenty children of a similar age - A regular teacher - A fixed weekly time - Paid monthly Start here One to one $210 CAD a month, eight live classes - One child, one teacher - A project of the child's choosing - Times that suit your family Enquire What families say ## Rated 4.9 across 547 Google reviews Parents' and students' Google reviews, with nothing changed. ★★★★★ "The one step solution for my son. Modern Age Coders make learning coding so simple that kids love it. The teachers explain complex concepts clearly with practical exercises and interactive content." Ria Mukherjee Parent ★★★★★ "Modern Age Coders has been a game-changer for me. I struggled to grasp IT concepts and coding before joining, but their classes transformed everything. I can now confidently write complex programs with ease." Samriddha Mondal Student ★★★★★ "One of the most wonderful education centres out there. Education is not limited to school syllabus but focuses on skill development." Vansh Agarwal Student ★★★★★ "My child Dhairya is really enjoying the Modern Age Coders classes. This is his first online class and he eagerly looks forward to it. I can already see his improvement, and the teachers are very cooperative." Sonam Oswal Parent of Dhairya ★★★★★ "Modern Age Coders have wonderful teachers who teach in a clear, easy and practical way. The teacher boosts students' confidence and inspires them to learn without hesitation." Sonu Goyal Parent ★★★★★ "I highly recommend this computer coding class! The teachers are incredibly knowledgeable and passionate about coding." Ritu Kedia Parent Parents in Canada ask ## AI classes for kids in Canada: common questions ### What age can a child start learning about AI? Our AI Literacy for Kids course takes children from 8 and needs no coding. Children from about 10 can also build simple AI programs in typed Python in our Python and AI for Kids course. ### Can my child use ChatGPT? Not on their own if they are under 13. OpenAI says ChatGPT is not meant for children under 13 and that children aged 13 to 18 need parental consent. For under-13s in a classroom, OpenAI says an adult must conduct the interaction. ### Is Claude suitable for children? No. Anthropic's terms say users must be at least 18 years old, or older where local law requires. We never recommend Claude to anyone under 18. ### What do children actually build in an AI class? Small models and programs of their own: sorting examples into rule-following or learning, training an image or sound model for a game, and for older children, a Python program that learns from real data and is tested on new examples. ### Will my child need to create accounts on AI websites? No. Our AI Literacy for Kids course never asks a child to create an account on a service that does not permit their age. Younger children see adult tools only in teacher-run demonstrations. ### Is AI part of the school curriculum in Canada? It is starting to be. Ontario's Grade 6 science asks students to assess the impact of emerging technologies, Ontario's Grade 10 ICD2O course investigates artificial intelligence, and Alberta's draft Grades 7 to 9 curriculum includes it. ### Does my child need to know how to code first? Not for AI Literacy for Kids, which uses hands-on activities and block coding. The Python course teaches coding from the beginning, so children aged 9 to 12 can start there too. ### How do you keep AI lessons safe for children? By following each company's age rules, using tools and demonstrations chosen for children, and keeping chatbots on the teacher's screen. Children spend most of the class building and testing their own small models. ### What times are classes for Canadian families? Weekdays or weekends, flexible: choose your batch, or for a very personalised plan choose 1-on-1 at your convenience, weekend mornings or weekdays. Every time is confirmed in your own province's zone. ### How will I know my child is learning? After classes the teacher sends a short note: what your child built, where it failed and what they concluded. By the end, a child should be able to explain why a model must be tested on examples it has never seen. Elsewhere on this site ## Related pages More for Canadian families thinking about children and AI. ### [Coding classes in Canada](/coding-classes-in-canada) All our Canadian pages. ### [AI and machine learning in Canada](/ai-and-machine-learning-classes-in-canada) For teens and adults. ### [AI tools age guide](/ai-tools-age-guide) Age rules for many more tools. ### [AI literacy for elementary students](/ai-literacy-for-elementary-students) How we teach AI to young children. ### [Should my child learn AI?](/should-my-child-learn-ai) A parent's question, answered. ### [AI projects for kids](/ai-projects-for-kids) More project ideas by age. ### [How AI actually works](/how-ai-actually-works) The idea behind the guesser. ### [Python for 10 year olds](/python-for-10-year-olds) Typed code at ten. ### [Scratch classes for kids](/scratch-coding-classes-for-kids) Where many children begin. Start here ## Book a free first class We begin with a short sorting game: the child learns a rule from some examples, then tests it on others. The teacher sees how the child reasons and suggests the course that fits. Before you book, [how we teach](/how-we-teach) explains our live classes, and [all courses](/courses) lists every syllabus. [WhatsApp us](https://wa.me/919123366161?text=Hello%20Modern%20Age%20Coders%2C%20my%20child%20in%20Canada%20is%20curious%20about%20AI.%20Could%20we%20book%20a%20free%20first%20class%3F) · [+91 91233 66161](tel:+919123366161) · [connect@modernagecoders.com](mailto:connect@modernagecoders.com) Classes are live online with teachers in India, so families in every province take part from home. WhatsApp is the fastest way to ask us anything. ### Want a class sooner? Book a priority demo A priority demo is a full class of about 45 to 60 minutes. 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[Book a priority demo](/book-demo) ## Keep exploring Modern Age Coders ### Related courses and guides - [AI Classes for Kids in the UK](/ai-classes-for-kids-uk) - [AI Classes for Kids (Ages 6-12)](/ai-classes-for-kids) - [AI Classes for Middle School Students: Grades 6 to 8](/ai-classes-for-middle-school-students) - [AI Classes for Beginners](/ai-classes-for-beginners) - [AI Classes for Teenagers (13-18)](/ai-classes-for-teenagers) - [AI Classes for Adults](/ai-classes-for-adults) - [Coding and AI Classes in St Helens](/best-coding-and-ai-classes-in-st-helens) - [Coding and AI Classes in Bournemouth](/best-coding-and-ai-classes-in-bournemouth) - [Best Coding and AI Classes in Sunbury, Melbourne](/best-coding-and-ai-classes-in-sunbury-melbourne) ### Learn more - [Coding and AI Classes in Victoria, BC](/coding-and-ai-classes-in-victoria-bc) - [Hackathon for Kids: Free Event + 12-Week Prep (Ages 8-12)](/courses/hackathon-prep-for-kids-coding-innovation-ai-projects-course) - [AI and Python Classes for Teens in Richmond Hill, ON](/ai-and-python-classes-for-teens-in-richmond-hill) - [Vibe Coding and AI Agents Classes in Canada: Teens and Adults](/vibe-coding-and-ai-agents-classes-in-canada) ### Free resources - [AI & Machine Learning Tutorial: Basics to Deep Learning](/resources/ai-and-machine-learning) - [Unsupervised Learning](/resources/ai-and-machine-learning/unsupervised-learning-clustering) - [Decision Trees and Random Forests](/resources/ai-and-machine-learning/decision-trees-and-random-forests) - [Feature Engineering and Feature Selection](/resources/ai-and-machine-learning/feature-engineering) ### From the blog - [AI & Machine Learning Guides](/blog/topic/ai) - [How to Teach Kids AI at Home: A Safe 2026 Parent Guide](/blog/how-to-teach-kids-ai-at-home) - [Do AI Detectors Work? 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