--- title: "AI Courses for High School Students: School, Free and Live" description: "AI courses for high school students in the US: the AI Foundations school course, free CS50 AI and Google's ML crash course, and live classes, with real Python code." canonical: https://learn.modernagecoders.com/ai-courses-for-high-school-students source: src/pages/ai-courses-for-high-school-students.html --- > AI courses for high school students in the US: the AI Foundations school course, free CS50 AI and Google's ML crash course, and live classes, with real Python code. The short answer High school students in the US can take AI at school through CodeAI's AI Foundations (up to 180 class periods, builds toward AP CSP or AP CSA), free online through Harvard's CS50 AI (seven weeks, needs about a year of Python) or Google's Machine Learning Crash Course, or live with a teacher. Modern Age Coders teaches AI and Python live online for teenagers 13 to 18, in a group batch or one to one. Learn it live ## Teen courses that run from a first line of code to a trained model These are the three we usually suggest first to a high schooler. A regular teacher runs each one live. [![Python for Teens course thumbnail](/images/python-teens.webp) ACHS / 01 Python first, then everything else Ages 13 to 18. The year of Python that free university AI courses assume. Open the syllabus →](/courses/python-complete-masterclass-teens)[![AI and Machine Learning for Teens course thumbnail](/images/ai-ml-teens.webp) ACHS / 02 Machine learning, built from scratch Ages 13 to 18. Models trained and evaluated, not just called. Open the syllabus →](/courses/ai-ml-masterclass-teens)[![AI Tools Course for Teens (13+) course thumbnail](/images/ai-tools-kids.webp) ACHS / 03 AI tools, used with judgment (13+) For teens who want to use AI well before they build it. Open the syllabus →](/courses/teens-ai-tools-mastery-course) The course map ## Four kinds of AI course a high schooler can take These are categories, not a ranking. Each row names one real example and describes it from the provider's own page, read on 17 October 2026. | Kind | Example | Length | Needs first | Live teacher? | | --- | --- | --- | --- | --- | | School course | CodeAI Artificial Intelligence Foundations | 90 class periods per semester, 180 for the year | No prior experience | Your school's teacher | | Free university course | CS50's Introduction to AI with Python | Seven weeks of material | CS50x or a year of Python | No; recorded lectures | | Free industry course | Google Machine Learning Crash Course | 12 self-contained modules | Algebra helps (our view) | No; self-paced | | Live classes | Teen AI and Python courses, like ours | Months, one class at a time | Nothing, for a Python start | Yes, every class | ### How the four fit together They are not rivals. A student might take AI Foundations at school in grade 9, learn Python properly in grade 10, and work through CS50 AI the summer after. Each kind covers ground the others assume. The gap to plan for is the year of Python between a school course and a university one. Harvard's course page asks for CS50x or at least one year of experience with Python before starting. ### Where a live teacher earns its place Free courses are excellent and we recommend them. What they cannot do is notice that a student copied a solution without understanding it, or explain the same idea a third way. A live class is worth paying for when a student has stalled, needs a pace set for them, or wants feedback on their own project. If none of those is true, start free. Sources, read 17 October 2026: [CodeAI AI Foundations](https://code.org/curriculum/artificial-intelligence-foundations); [CS50 AI](https://cs50.harvard.edu/ai/); [Google Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course). We are not connected with CodeAI, Harvard or Google. For a ranked comparison of paid options, see [our 2026 comparison of AI courses for teens](/best-ai-courses-for-teens-2026). At school ## AI Foundations: a free course US high schools can offer The nonprofit long known as Code.org now presents itself as CodeAI; its own footer says "Code.org" is a former trademark of CodeAI. Its high school AI course is free to schools, and a student can ask a teacher or counselor whether it is on the schedule. | Point | What CodeAI says | | --- | --- | | Length | 90 class periods per semester (180 total) for the full year; semester and unit options too | | Prior experience | No prior experience required | | Leads to | Builds toward AP CSP, AP CSA, or workforce readiness | | Standards | Aligned to CSTA 2026 standards and the TeachAI AI Literacy Framework | | Tools | AI Chat Lab, Python Lab, Web Lab, Sketch Lab | | Devices | Chromebook or computer | | A Python unit | Foundations of AI Programming: "Learn Python through hands-on projects" | | State versions | Versions specifically designed to meet Idaho standards and Indiana standards | ### If your school offers it Take it. A full year is 180 periods, which is 180 / 2 = 90 a semester, a lot of structured AI time, and CodeAI lists Chromebooks among its supported devices. Use the second semester well. CodeAI says students learn JavaScript and build web apps with AI as a creative partner. Ask the teacher how much code students write themselves, and write more at home. ### If it does not Ask. Curriculum choices are made by schools and districts, so a request from interested students is a reasonable place to start. In the meantime the same ground can be covered outside school: Python first, then a structured AI course. That is the route the rest of this page describes. Free online ## Two free AI courses worth a high schooler's time Both are free to read and follow, and both are written by people who teach this material for a living. Neither has a teacher who will check in on your teenager, so they work for self-driven students, ideally paired with some feedback. | Week | Topic | In one line (ours) | | --- | --- | --- | | 0 | Search | How a program finds a path, such as the way out of a maze | | 1 | Knowledge | Logic a computer can reason with | | 2 | Uncertainty | Probability, when the answer is not sure | | 3 | Optimization | Picking the strongest option among many | | 4 | Learning | Machine learning from examples | | 5 | Neural Networks | Layers of simple units that learn together | | 6 | Language | How programs process human language | ### CS50 AI, honestly Harvard describes the course as seven weeks of material, each with a lecture and a project, and anyone can take it free through its OpenCourseWare. Its weeks run Search, Knowledge, Uncertainty, Optimization, Learning, Neural Networks and Language, and the projects are Python programs the students write themselves, which is what makes it valuable. It is not a first course. The prerequisite is CS50x or at least one year of experience with Python, and submitting projects for feedback needs an edX account, and the edX terms set a minimum age of 13. ### Google's Machine Learning Crash Course Google says that since 2018, millions of people worldwide have relied on Machine Learning Crash Course. It is organized as 12 self-contained modules in four groups: ML models, Data, Advanced ML models and Real-world ML. The modules include Datasets, generalization, and overfitting, Intro to Large Language Models, and Fairness. Google describes the format as animated videos, interactive visualizations and hands-on practice exercises. Federal policy now points the same way. An executive order signed on April 23, 2025 asks the agencies on its AI education task force to develop online resources focused on teaching K-12 students foundational AI literacy and critical thinking skills, and tells the Secretary of Labor to support the creation of opportunities for high school students to take AI courses and certification programs. Free, serious courses like these two are what that looks like in practice. A first model, in real code ## What lesson one of a real AI course looks like Every serious AI course starts with the same idea: train on some data, test on data the model has not seen. Here it is in 20 lines, using the iris flower dataset that ships with scikit-learn. The script is ours, tested on 17 October 2026 under scikit-learn 1.7.2 and Python 3.13. ***Choosing k for a nearest-neighbor model**python* ``` # Lesson 1 of an AI course, in code (ours) from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split from sklearn.neighbors import KNeighborsClassifier from sklearn.metrics import accuracy_score iris = load_iris() X_train, X_test, y_train, y_test = train_test_split( iris.data, iris.target, test_size=0.3, random_state=42, stratify=iris.target) for k in [1, 3, 5, 15, 45]: model = KNeighborsClassifier(n_neighbors=k) model.fit(X_train, y_train) guess = model.predict(X_test) print(k, round(accuracy_score(y_test, guess), 3)) flower = [[5.9, 3.0, 5.1, 1.8]] # cm: sepal, sepal, petal, petal chosen = KNeighborsClassifier(n_neighbors=5).fit(X_train, y_train) print(iris.target_names[chosen.predict(flower)[0]]) ``` Output on our run: k=1 0.933, k=3 0.956, k=5 0.978, k=15 0.956, k=45 0.889, then virginica for the example flower. The dataset has 150 flowers, so test_size=0.3 holds back 150 x 0.3 = 45 of them for testing. ### What the student should notice Accuracy rises from k=1 to k=5 and then falls. With k=45 the model asks 45 neighbors to vote, nearly half the training flowers, and the answer blurs. That rise and fall is the first lesson in model selection. The test flowers were split off before training and stratified, so each species appears in the same proportion. A course that skips this step is teaching a habit that breaks real projects. ### What a good course does next It warns that choosing k by looking at the test score is a quiet form of cheating, and introduces a separate validation set or cross-validation to fix it. Then it moves from flowers to the student's own data. scikit-learn's documentation lists the iris set as 150 samples with 4 features; a student's first real dataset will be messier, which is the point. Choosing ## Five questions that tell you what an AI course really teaches Our checklist for reading any AI course page, free or paid, ours included. Course names are cheap; these questions get to what a student will actually be able to do. 1. **Does the student write the code?** Look for projects in Python, not only demonstrations of apps. A course where AI writes everything teaches prompting, which is a different skill. 2. **Is there a test set?** Any syllabus that trains models should mention testing on unseen data, and ideally overfitting by name. 3. **Who checks the work?** Recorded courses rely on automated checks or none. Decide whether your teenager needs a human to read their code. 4. **Are the tools allowed for their age?** Several popular AI chatbots set adult age limits in their terms. A course for under-18s should use tools whose terms allow teenagers. 5. **What exists at the end?** A finished project the student can explain is the only outcome worth paying for. Ask to see one from a past student. | Question | School course | Free university | Free industry | Live classes | | --- | --- | --- | --- | --- | | Student writes code | In the Python and JavaScript units | Yes, every week | In the exercises | Yes, every class | | Test set taught | Check with the teacher | Yes | Yes, overfitting module | Should be; ask | | Human feedback | Yes, the teacher | No | No | Yes | | Age-appropriate tools | Built for students | edX account at 13 or older | Open web pages | Ask which tools | | Something to show | Class projects | A project each week | Exercises | A project of their own | On the age question, our [AI tool age guide](/ai-tools-age-guide) lists what each popular tool's terms say about teenagers. For studying with AI without crossing a line, see [how to use AI to study without cheating](/blog/how-to-use-chatgpt-to-study-without-cheating). Grade by grade ## A four-year AI path through high school Our suggested sequence for a student who starts with no code in grade 9. It mixes school, free and live courses; swap in whatever your school offers. | Grade | Course | By the end of the year | | --- | --- | --- | | 9 | AI Foundations at school, or Python live | Writes small Python programs; knows what training data is | | 10 | Python properly, plus a first machine learning course | Has trained and tested a model like the one above | | 11 | CS50 AI or Google's crash course, with feedback | Can explain search, probability and neural networks simply | | 12 | A project of their own, with a teacher reviewing | Has one finished project with an honest write-up | ### Starting late A junior with no code can compress grades 9 and 10 into one year of Python and machine learning. It is a busy year, not an impossible one. ### Starting early A middle schooler who already codes can begin at grade 10 of this path. Depth matters more than finishing early. ### AP alongside AI Foundations says it builds toward AP CSP or AP CSA. Our pages on [AP CSP](/ap-computer-science-principles-online-coaching) and [AP CSA](/ap-computer-science-a-online-classes) cover those exams. From user to builder ## Four stages of a high schooler learning AI Where a teenager might start, and which kind of course moves them on. | Stage | Sign of it | | --- | --- | | 1. User | Uses AI apps every day; cannot say how they work | | 2. Coder | Writes Python; has not yet trained a model | | 3. Trainer | Trains and tests models; reads accuracy honestly | | 4. Builder | Chooses a problem, a model and a test, and explains all three | ### For parents The jump from stage 1 to 2 is the one to check a course does not skip. A course that goes straight to AI apps leaves a teenager at stage 1 with better vocabulary. Ask your teenager to show you a test score and explain it. That conversation tells you their stage. ### For students Learn Python before you learn AI. Every course at stage 3 assumes it. Change one setting at a time and write down what happened. That habit is most of machine learning. The course catalog ## Nine courses for high schoolers learning AI Live and online, with the same teacher each week, in a batch or one to one. I ### Code first Ages 13 to 18 ACHS / COD / 01 #### Python for teens From print to programs worth testing. [Open the syllabus](/courses/python-complete-masterclass-teens) ACHS / COD / 02 #### JavaScript for teens The web side of AI apps. [Open the syllabus](/courses/javascript-course-for-teens-beginners-interactive-web) ACHS / COD / 03 #### Problem solving Logic and algorithms under the models. [Open the syllabus](/courses/problem-solving-dsa-masterclass-teens)II ### AI and data Ages 13 to 18 ACHS / AID / 01 #### AI and ML for teens Ten months from Python to neural networks. [Open the syllabus](/courses/ai-ml-masterclass-teens) ACHS / AID / 02 #### Data science for teens Ages 14 to 18, with basic Python. [Open the syllabus](/courses/data-science-course-for-teens-python-data) ACHS / AID / 03 #### Orange data mining Machine learning without code, then with it. [Open the syllabus](/courses/orange-data-mining-visual-machine-learning-course-for-teens)III ### Using and shipping AI Teens ACHS / USE / 01 #### AI tools for teens (13+) Prompting and checking, the honest way. [Open the syllabus](/courses/teens-ai-tools-mastery-course) ACHS / USE / 02 #### Vibe coding for teens Building with AI, then reading every line. [Open the syllabus](/courses/vibe-coding-for-teens-python-web-ai-projects-course) ACHS / USE / 03 #### App development for teens Put a trained model inside a phone app. [Open the syllabus](/courses/complete-app-development-masterclass-for-teens) How lessons run ## Live classes that fit a high school week 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 After school, in your own US time zone. Weekends Weekend mornings for students with packed weeks. 1-on-1 Around sports seasons and exams. ### Same teacher Who knows what your teenager built last week. ### Python underneath No AI topic before the code it needs. ### Tested models Every model meets a test set. ### Their own project By the end, a problem they chose. ### At home Live video, in any state. ### Group or private Fifteen to twenty students, or one to one. Student work ## What our teenage students have built Finished work from students who started with the courses above. The [student labs](/student-labs) page shows 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 School and free courses cost nothing, and we say so above. Our live classes are billed monthly in US dollars, with no semester commitment, and you can stop after any month. Free first class USD 0 no card required - A free first class - Tell us the course they tried - No card details Book it Group batch USD 100 a month, billed in US dollars - Fifteen to twenty students - One regular teacher - Choose your batch - Monthly Start here One to one USD 150 a month, billed in US dollars - A teacher to yourself - Your own project - Times at your convenience Enquire What families say ## Rated 4.9 across 547 Google reviews Google reviews from parents, quoted exactly. ★★★★★ "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 Questions from families ## AI courses for high schoolers: common questions ### What AI courses can high school students take? Four kinds: a school course such as CodeAI's Artificial Intelligence Foundations, a free university course such as Harvard's CS50 AI, a free industry course such as Google's Machine Learning Crash Course, and live classes with a teacher. ### Are there free AI courses for high school students? Yes. CS50 AI can be followed free through Harvard's OpenCourseWare, Google's Machine Learning Crash Course is free to read online, and CodeAI offers AI Foundations to schools at no cost. ### Is CS50 AI good for a beginner? Not as a first course. Harvard lists the prerequisite as CS50x or at least one year of experience with Python. Learn Python first, then take it. ### How long is the AI Foundations course? CodeAI lists 90 class periods per semester, 180 for the full year, with shorter semester and unit options. It needs no prior experience. ### Does AI Foundations count toward AP? CodeAI says it builds toward AP CSP, AP CSA, or workforce readiness. It is not itself an AP course; AP exams are run by the College Board. ### What age do you need to be for CS50 AI? Following the free materials needs no account. Submitting projects for feedback needs an edX account, and edX's terms say you must be at least 13 years old to use its service. ### Should a high schooler learn Python before AI? Yes, for anything beyond using AI apps. The university and industry courses on this page assume Python, and real machine learning projects are written in it. ### Do your AI courses use ChatGPT? For under-18 students we choose tools whose terms allow teenagers, and we teach students to check those terms themselves. The core of every course is Python code the student writes. ### When are classes for US high schoolers? Weekdays or weekends, flexible: choose your batch, or for a very personalised plan choose 1-on-1 at your convenience, weekend mornings or weekdays. ### How much do your AI classes cost? The first class is free. After that, families pay monthly for live teaching, and the fees section of this page shows the figure in US dollars. Elsewhere on this site ## Related pages More for US teenagers getting started with AI. ### [Coding classes in the USA](/coding-classes-in-united-states) Every page we have for American families. ### [AI courses for teens, ranked](/best-ai-courses-for-teens-2026) Our criteria-led comparison of paid options. ### [AI classes for teenagers](/ai-classes-for-teenagers) Our live AI track, ages 13 to 18. ### [AI and ML course for teens](/ai-ml-course-for-teens) The full syllabus and projects. ### [AI projects for high schoolers](/ai-projects-for-high-school-students) What to build after a first course. ### [How AI actually works](/how-ai-actually-works) The ideas under the apps, explained. ### [AI classes for middle school students](/ai-classes-for-middle-school-students) AI classes for US middle schoolers: what school covers, what a good class adds, and a first model in Python. ### [AI projects for middle school students](/ai-projects-for-middle-school-students) Ten AI projects for US middle schoolers, two in real Python, and how to take one to a science fair. ### [AI research programs for high school students](/ai-research-programs-for-high-school-students) AI research programs for US high schoolers, from the 2026 to 2027 rules, with a fair-test experiment. Start here ## Book a free first class Tell us what your teenager has tried, school course or free course or nothing yet. The first class finds where they are and what to learn next. Want to see the teaching? [How we teach](/how-we-teach) walks through a class, and [the courses page](/courses) has every syllabus. [WhatsApp us](https://wa.me/919123366161?text=Hello%20Modern%20Age%20Coders%2C%20my%20high%20schooler%20in%20the%20US%20wants%20to%20take%20an%20AI%20course.%20Could%20we%20book%20a%20free%20first%20class%3F) · [+91 91233 66161](tel:+919123366161) · [connect@modernagecoders.com](mailto:connect@modernagecoders.com) We teach from India on live video, which is why there is no local center to visit and why any US time zone works. WhatsApp reaches us fastest. ### Want a class sooner? Book a priority demo A priority demo is a full class of about 45 to 60 minutes. After the class the mentor sends a written skill report and a personal learning roadmap on WhatsApp. If you enrol, the demo fee is adjusted against your first month's fee. Share your demo Order ID with us on WhatsApp and we take it off. [Book a priority demo](/book-demo) ## Keep exploring Modern Age Coders ### Related courses and guides - [AI Courses for Kids in Australia](/ai-courses-for-kids-australia) - [AI Course for Beginners](/ai-course-for-beginners) - [AI Development Company](/ai-development-services) - [AI Coding Course](/ai-coding-course) - [The AI Engineer Roadmap 2026: From Python Day One to Shipping AI](/ai-engineer-roadmap-2026) - [AI Classes for Teens in Australia](/ai-classes-for-teens-australia) - [Coding and AI Classes in Harlow](/best-coding-and-ai-classes-in-harlow) - [Coding and AI Classes in Clifton, Bristol](/best-coding-and-ai-classes-in-clifton-bristol) - [Coding and AI Classes in South Shields](/best-coding-and-ai-classes-in-south-shields) ### Learn more - [Machine Learning Competitions for High School Students](/machine-learning-competitions-for-high-school-students) - [Codex & Claude Code for Teens: AI Coding Agents Course](/courses/codex-and-claude-code-ai-coding-agents-course-for-teens) - [Coding for Class 11: CS Stream, Python/Pandas, MERN, AI/ML & DSA in C++](/coding-for-class-11) - [Python for Class 6: CBSE Code 166 Python, Turtle, First AI (Age 11)](/python-for-class-6) ### Free resources - [AI & Machine Learning Tutorial: Basics to Deep Learning](/resources/ai-and-machine-learning) - [Mathematics for Machine Learning](/resources/ai-and-machine-learning/mathematics-for-ml) - [Python for AI](/resources/ai-and-machine-learning/python-for-ai-essentials) - [Transformers and Attention Mechanism](/resources/ai-and-machine-learning/transformers-and-attention) ### From the blog - [AI & Machine Learning Guides](/blog/topic/ai) - [What Type of Data is Generative AI Most Suitable For? A Complete Guide](/blog/what-type-of-data-is-generative-ai-most-suitable-for) - [How to Teach Kids AI at Home: A Safe 2026 Parent Guide](/blog/how-to-teach-kids-ai-at-home) - [Top Emerging Tech Skills to Learn in 2025 (AI, Low-Code, Cloud)](/blog/top-emerging-tech-skills-learn-2025-ai-low-code-cloud) ### Start here - [Book a free demo class with Modern Age Coders](/book-demo) - [Real projects built by Modern Age Coders students](/student-labs) Free class[Priority demo](/book-demo)[Call us](tel:+919123366161) --- *Canonical: https://learn.modernagecoders.com/ai-courses-for-high-school-students*