Spark.AI
Teaching the
What, How & Wow
of Artificial Intelligence
A new program from Brain Eating Machines: helping middle and high school students genuinely understand AI, think critically about it, and build something real with it.
Get Early AccessWhy Spark.AI
A name with a reason behind it
The name Spark.AI is intentional. A spark is how every great idea begins: a moment of curiosity, a flash of understanding, a question that changes the way you see the world.
Most students today use AI every single day without knowing how it works. They take recommendations, filters, autocomplete, and generated text for granted because nobody has ever pulled back the curtain for them. Spark.AI changes that. We believe that the moment a student truly understands how a machine learns from data, how a model makes a decision, or how bias can quietly shape an outcome, something clicks. That click is the spark.
This program is not about training future engineers (though some will become them). It is about creating a generation of students who are genuinely informed about the technology shaping their lives: curious enough to ask hard questions, confident enough to build something new, and thoughtful enough to consider the impact. Spark.AI exists to light that fire.
Our philosophy
Three questions every student deserves an answer to
The WHAT
What is AI, really? Students build a clear, accurate mental model of artificial intelligence — separating the science from the hype, the possible from the impossible.
The HOW
How does AI see, hear, and understand? Students go behind the scenes to explore how machines learn from data and make decisions — through hands-on experimentation.
The WOW
How do we use this to change the world? Students experience jaw-dropping real-world demos and finish the program with an AI project they built themselves.
Program structure
Five days. Fifteen hours. One complete picture of AI.
Each day builds on the last — moving from foundational concepts to hands-on model training to real-world impact and ethics.
What AI Actually Is
Students build a clear mental model of how machines learn from data rather than following hand-written rules. They discover that AI is fundamentally pattern recognition and see exactly where it shows up in their daily lives — from autocomplete to recommendation feeds to facial recognition.
How Machines See
An exploration of computer vision: how an AI perceives images as grids of numbers, learns to distinguish objects, and extracts meaning from visual data. Students examine how this capability is already being applied in medicine, safety, and science in ways that matter right now.
How AI Understands Language
From counting words to predicting meaning: students explore how machines process and generate text, how tone and sentiment are detected, and what is actually happening inside a large language model when it responds to a prompt.
Training a Model End-to-End
Students walk through the complete supervised learning cycle: collecting data, training a model, measuring error, and improving it. They see first-hand why the quality and diversity of data shapes the quality of outcomes, and what it feels like when a model actually learns something.
Ethics, Bias & Demo Day
The week closes with the hardest questions: where AI fails, who it harms, and how to think about responsibility. Students then present their own AI project — something they designed and built themselves around a problem they genuinely care about solving.
The curriculum
A journey through the landscape of AI
Students move through six major areas — each one building on the last, each one grounded in how AI is actually changing the world right now.
What AI Actually Is
Demystifying the magic. Students discover how machines learn patterns from data — and why that's both more powerful and more limited than the movies suggest.
How Machines Learn
From training data to decisions: students explore supervised learning, error, and improvement — and discover why the data behind a model matters as much as the model itself.
How AI Sees the World
Exploring computer vision: how a machine translates pixels into meaning, and how this capability is being used in medicine, safety, science, and beyond.
How AI Understands Language
From words to meaning to generation: students explore how large language models work, why they feel human, and how to use them as powerful creative and reasoning tools.
Ethics, Bias & Responsibility
Not an afterthought — woven throughout. Students examine real failures, debate hard cases, and develop their own framework for thinking about AI's impact on people and society.
Build Something That Matters
Every student finishes with a working AI project tackling a real-world problem they care about — and presents it in a final demo day.
Differentiated learning
One curriculum. Three depths.
Every student explores the same five themes — but the depth, complexity, and activities adapt to match their grade level and mathematical background. No one is held back, and no one is left behind.
Explorer
Grades 6–7
Core AI ideas are taught through analogies, visual activities, and interactive experiments. Students build a strong conceptual foundation and develop an accurate mental model of how AI works — grounded in the math they already know from pre-algebra.
Builder
Grades 8–9
Students move from understanding to doing: guided hands-on sessions with immediate visual feedback. They train models, adjust parameters, and see in real time how changes affect outcomes — connecting their knowledge of functions and linear graphs to how AI actually learns.
Innovator
Grades 10–12
End-to-end project work grounded in the real mathematics behind AI. Students design, train, evaluate, and present complete applications — going deep on why models work, where they break, and what it takes to build something that holds up in the real world.
What students walk away with
Real skills for an AI-shaped world
This isn't a survey course. Students leave with the ability to reason about AI confidently — as informed citizens, future builders, and critical thinkers.
Get notified when registration opensNo jargon, no hand-waving. Students can accurately describe what machine learning is, what it can and can't do, and why it matters.
From the apps on their phone to the decisions being made in healthcare and courts — students see AI clearly where others see a black box.
Students can reason about bias, fairness, and risk — asking the right questions before accepting AI at face value.
Not just use AI — create with it. Students design, train, and demo a project built around a real problem they care about solving.
Curiosity, ethical reasoning, and comfort with uncertainty — the skills that matter most for whatever path they choose.
Who this is for
Built for curious minds, not coding experts.
Any student in grades 6–10 who has ever wondered how Netflix knows what to recommend, how self-driving cars see, or what ChatGPT is actually doing under the hood. No prior coding experience required — just genuine curiosity about the technology shaping their world.
Coming Soon
Be the first to know when registration opens.
We're finalizing locations and session details. Join the list and we'll notify you as soon as registration is available.
Join the Notification ListNo spam, ever. Just one email when spots open.