Grades 3-12 · Summer 2026 Summer 50% off

You're going to build with AI this summer.

A live, daily 1-hour class on Zoom for ages 8-18. Two age-appropriate tracks under one program. By the end, you'll have shipped a real project — not just watched a tutorial.

6weeks
30hours
M–Fdaily
2tracks
Reserve a Seat — June 22 See Curriculum
📹 Live on Zoom · ♾ Lifetime recordings · 🎓 Certificate
From $399 was $799 summer offer
Complete Course Structure & Table of Contents
📡
Live instructor-led delivery · classes run 3 days a week. The topics below are covered in live sessions; recorded versions will be available after class delivery.

Elementary Track

Grades 3-5 (ages 8-10) · 30 hours total · Visual / block-based — Teachable Machine, Scratch ML extensions, Google's Magic Sketchpad. Designed for confident readers; no typing-heavy code.

Goal: "I taught a computer how to do something — and I can explain how."

Module 1 · 5 hours
What is data?
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Data is just organized examples — sorting toys, snacks, songs
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Categories and patterns: the building blocks of every AI
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Spotting AI in your day (YouTube picks, voice assistants, photo filters)
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Class data project: collect 20 examples of something you care about
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"Sort and label" activity — turn a messy pile into a clean dataset
Worksheet + Google Sheets
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Build your own mini-dataset (favorite foods, pets, sports cards) you'll use later in the course
Google Sheets + photos
Module 2 · 5 hours
How do computers learn?
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Rules vs examples — two very different ways to be smart
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Why teaching by example is what makes AI special
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Live demo: how a model "guesses" and gets better
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Underfitting and overfitting in plain language ("not enough practice" vs "memorized the wrong thing")
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Train Teachable Machine to recognize 3 of your own things (toys, hand signs, drawings)
Teachable Machine (browser)
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"Be the AI" card game — deduce the rule from labeled examples and explain your reasoning
Printable card game
Module 3 · 5 hours
AI has senses
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Eyes: how image classifiers turn pixels into predictions
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Ears: how voice models hear commands
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Words: how text classifiers tell happy from sad sentences
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When AI gets it wrong — and why that's normal
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Train a voice model for "open / close / happy / sad" and hook it into a Scratch sprite
Teachable Machine + Scratch
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Train a text-sentiment helper that reacts to a sentence you type
Scratch ML extension
Module 4 · 5 hours
AI gets things wrong — and that matters
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Bias through stories: real cases where AI was unfair
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Privacy basics: what stays on your device, what goes online
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Asking the right questions before you trust an AI answer
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"AI helpers should..." class charter — the rules we want our AI to follow
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Spot the bias — review 3 sample models and explain what could go wrong
Guided notebook + discussion
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Write your own AI Helper Code of Honor (3 rules + why each one matters)
Worksheet
Module 5 · 5 hours
AI can create new things
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How "generative" AI is different from "guessing" AI
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Drawing with AI — co-create with Magic Sketchpad / Quick, Draw!
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Writing with AI — short story collaboration using kid-safe LLM prompts
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Prompt basics: clear instructions, examples, and "be specific"
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Co-illustrate a 1-page picture book with AI (you sketch, the model completes)
Magic Sketchpad / Autodraw
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Write a 5-line story with an AI co-author — then critique what it got wrong
Kid-safe LLM prompt sheet
Module 6 · 5 hours
Capstone: build your smart helper
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Pitching your project idea to the cohort (1 minute, 1 slide)
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Building it end-to-end with instructor support
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Recording a 60-second demo video
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Parent show-and-tell preparation
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Build your capstone — pick one: drawing classifier, "what mood is the room" voice helper, sorting game, or homework buddy
Teachable Machine + Scratch
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Demo Day: present to your cohort and your parents — short, proud, and recorded
Live Zoom + recording

Middle & High School Track

Grades 6-12 (ages 11-18) · 30 hours total · Python in Google Colab + Jupyter notebooks. Public GitHub portfolio piece by the end.

Goal: "I shipped a real AI project to my own GitHub repo."

Module 1 · 5 hours
Python + data foundations
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Python in Google Colab — zero to first notebook
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Variables, lists, loops the way ML engineers use them
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Visualizing data with matplotlib
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Set up Colab + collect 50 things you care about into a dataset
Jupyter Notebook Lab
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Build your first chart of your own data
Jupyter Notebook Lab
Module 2 · 5 hours
First ML models
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📘
What machine learning actually is
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k-Nearest Neighbors hands-on
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Decision trees: AI that explains itself
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Classify hand-drawn shapes using k-NN
Jupyter Notebook Lab
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Build a "Should I bring an umbrella?" decision tree from weather data
Jupyter Notebook Lab
Module 3 · 5 hours
Neural networks intuition
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What is inside a neural network (no calculus required)
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Training intuition: loss, gradients, learning rate
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Live training on MNIST handwritten digits
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Train a tiny neural network on MNIST live in class
Jupyter Notebook Lab
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Experiment with hidden layer size and watch accuracy change
Jupyter Notebook Lab
Module 4 · 5 hours
Modern AI — vision and language
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Computer vision basics: how images become predictions
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Natural language basics: words as numbers
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Pick your path: vision or language project
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Image classifier on your hobby (Pokémon, plants, sneakers, sports cards) — vision path
Jupyter Notebook Lab
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Sentiment analysis on your own messages or tweets — language path
Jupyter Notebook Lab
Module 5 · 5 hours
Generative AI + prompt engineering
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How LLMs (Claude, GPT) actually work — high level
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Prompt patterns that work: role, context, examples, output format
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Building a homework helper that explains things at the right grade level
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Build a study-buddy chatbot with the Anthropic API (free tier)
Jupyter Notebook Lab
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Compare a basic prompt vs an engineered prompt on the same task
Jupyter Notebook Lab
Module 6 · 5 hours
Capstone + ethics + career prep
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Capstone scoping: define, plan, ship
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AI ethics through real case studies (privacy, fairness, deepfakes)
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AI in college and careers — what to take in high school, what internships look like
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Capstone build: a portfolio-grade project on your own GitHub
Jupyter Notebook Lab
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Demo Day: 60-second screen-recorded video + README walkthrough
Jupyter Notebook Lab
Pick Your Cohort & Time Slot

All sessions live on Zoom · M-F daily · lifetime access to recordings.
30 students per cohort (we accept overflow on request - no hard cap)

upcoming Cohort A - Morning
Starts: Mon, Jun 22, 2026
Ends: Fri, Jul 31, 2026
Live class time: 11:00 AM CST
Cadence: 1 hour / day · Mon-Fri
📹 Zoom live + recorded for lifetime access
Elementary Track $399 $799
Middle & High School Track $499 $999
Reserve — 11:00 AM CST
upcoming Cohort A - Evening
Starts: Mon, Jun 22, 2026
Ends: Fri, Jul 31, 2026
Live class time: 6:00 PM CST
Cadence: 1 hour / day · Mon-Fri
📹 Zoom live + recorded for lifetime access
Elementary Track $399 $799
Middle & High School Track $499 $999
Reserve — 6:00 PM CST
upcoming Cohort B - Morning
Starts: Mon, Aug 3, 2026
Ends: Fri, Sep 11, 2026
Live class time: 11:00 AM CST
Cadence: 1 hour / day · Mon-Fri
📹 Zoom live + recorded for lifetime access
Elementary Track $399 $799
Middle & High School Track $499 $999
Reserve — 11:00 AM CST
upcoming Cohort B - Evening
Starts: Mon, Aug 3, 2026
Ends: Fri, Sep 11, 2026
Live class time: 6:00 PM CST
Cadence: 1 hour / day · Mon-Fri
📹 Zoom live + recorded for lifetime access
Elementary Track $399 $799
Middle & High School Track $499 $999
Reserve — 6:00 PM CST
Two tracks. Pick the cohort + the one that fits.
50% off this summer
Step 1 · Pick your cohort + time slot
Step 2 · Pick your track
Elementary Track
Grades 3-5 (ages 8-10)
$399 $799
30 hours total · live on Zoom + lifetime recordings
Middle & High School Track
Grades 6-12 (ages 11-18)
$499 $999
30 hours total · live on Zoom + lifetime recordings

Live on Zoom, 1 hour/day Mon-Fri across 6 weeks (30 sessions). All sessions recorded with lifetime access. Cohort B observes Labor Day (Mon Sep 7) off with a Sat Sep 12 makeup session.

Frequently asked questions about this program

What level is the AI for Schools (Grades 3-12) program? +
All Levels. Total program length is 6 Weeks (30 Hours of combined live instruction and lab time).
What prerequisites do I need? +
No prior coding experience needed; Elementary track is Grades 3-5 (ages 8-10) — readers and writers who can follow on-screen steps; Middle/High track: comfort with reading at grade level
Does this course include hands-on lab work? +
Yes. This program includes hands-on lab time in 1 cloud lab environment provisioned by AI Labs. Every student gets a personal cloud workspace plus on-prem workstation access at our Houston Training Center.
Is this delivered online or in person? +
Both. The default delivery is Live on Zoom, 1 hour/day Mon-Fri across 6 weeks (30 sessions). All sessions recorded with lifetime access. Cohort B observes Labor Day (Mon Sep 7) off with a Sat Sep 12 makeup session.. In-person sessions are available at our Houston Training Center for any student who prefers on-site delivery.
What roles does this program prepare me for? +
AI literacy foundation, Portfolio piece for high-school college applications, Computational thinking, Pathway into the Python & AI Essentials cohort after graduation.
Do I receive a certificate at the end? +
Yes. Every program ends with a capstone project and a verifiable AI Labs completion certificate. Certificates are issued via our LMS and include the capstone work as a portfolio link.
How much does the program cost and are payment plans available? +
Program tuition is $399. Most students use our 2-installment plan (50% at enrollment, 50% midway through). Enterprise + nonprofit pricing is available — contact us for a quote.

Labs used in this course

Hands-on environments you'll spin up during the program.

Jupyter Notebook Lab

Standard Python development environment for data exploration, visualization, and introductory ML. Pre-configured with Python 3.11, NumPy, Pa…

Explore lab →

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