Founding Summer Cohort
COLLEGE-LEVEL ENGINEERING TAUGHT TO KIDS
We're building the next generation of engineers in robotics, finance, and AI. Our online curriculum guides students (12–18) from a blank screen to fully functional projects professionals would recognize as real technical work.
Games are the entry point. Students build games, but underneath the experience, they’re developing professional workflows, technical foundations, and career-ready skills. No toy projects.
JOIN THE WAITLIST
Registration closed. Waitlist open.
A.I. IS CHANGING WHAT IT MEANS TO BE SKILLED.
Students who can build real things stand out—and that positions them ahead of the competition. But finding a path that takes a beginner from a first project to advanced, respected work is incredibly difficult—especially in an AI-driven world.
A real learning path needs to:
- Focus on skills the modern market actually values
- Teach students how to use AI as a professional tool
- Evolve alongside modern tools, industry shifts, and market needs
- Short timeline to visible results — no waiting until college
- Prioritize building real projects and a portfolio of proof
Our Solution
An accelerated, guided path that teaches modern technical work through real projects, structured progression, and hands-on learning.
- It starts with something they already care about — games.
- They learn by building, not by watching or memorizing.
- Each step is designed for focused, accelerated progress.
- They’re guided as they work, not left to figure it out alone.
- They gradually move into the same tools and workflows used in professional development.
- Their projects become increasingly sophisticated and portfolio-ready.
- Progress is measured by what they can build and improve.
The Professors
The Content
Students meet serious ideas inside projects they can see, change, test, and explain.
Finance Brownian Motion
Model the random, continuous fluctuations of stock prices over time.
Game Dev Matrices
Use transformations, coordinates, and vectors to control motion.
Robotics Kinematics
Spatial control systems for positioning and moving robotic arms.
Finance Monte Carlo
Run many possible futures and reason about risk, uncertainty, and decisions.
AI Engineering Embeddings
Turn meaning into geometry and build systems that compare, retrieve, and classify.
And More New Systems
Each project opens the door to harder tools, deeper math, and stronger proof.
The Progression
Game Development 01
Learned
Programming fundamentals, coordinate systems, collision, loops, state, and debugging.
Outcome
A playable project and the confidence to change how it works.
Game Development 02
Learned
Vectors, matrices, rotation, kinematics, geometry, linear transformations, and more.
Outcome
Foundations to build games in standard game engines.
Robotics
Learned
Sensors, feedback loops, control logic, motion planning, and physical-system thinking.
Outcome
Functional robotic systems.
Finance
Learned
Probability, simulation, risk, time series, optimization, and data-driven decisions.
Outcome
Understand, model, predict, and reason about risk and uncertainty.
AI Engineering
Learned
Embeddings, model workflows, evaluation, retrieval systems, and AI-assisted engineering.
Outcome
Build useful AI systems and judge whether they work.
45 DAY SUMMER BUILD
Build the technical foundations needed to progress into more advanced work across AI, robotics, finance, and beyond.
- Develop foundational engineering, coding, math, and problem-solving skills through game development
- Build a fully functional game from scratch
- Modify and extend the project into something uniquely their own
- Solve real problems using professional tools and workflows
- Transfer skills into robotics, finance, and AI
Join our Founding Summer Cohort
LIMITED SPOTS AVAILABLE
This is the start of something bigger. We’re building an experience that runs longer than one summer, with more domains, more complexity, and more advanced work. We’re keeping the first cohort small so we can work closely with every student and really understand what helps them learn best.
- 45-day guided experience
- 100% Online
- Designed for ages 12–18
- No prior coding experience required
- Free for early participants — no credit card required
- Priority access to future tracks and content
Step 01
Learn
Use games to teach foundational engineering, coding, and math concepts.
Waitlist
GIVE YOUR CHILD AN EARLY ADVANTAGE IN AN AI-DRIVEN WORLD.
Join the waitlist to get notified when new spots open up.
Status
Waitlist Only
Waitlist members receive:
- Priority access to the platform
- Founding member pricing when we go live
- Updates on how students can stay ahead in an AI-driven world
For parents or guardians of students (12–18)
System Documentation
FAQ
How does the program progress?
Students begin with a foundational track, building core programming and system design skills through hands-on development. Once those fundamentals are established, they move into specialized tracks—such as quantitative finance, AI systems, or game engineering—where they apply those skills to more complex systems and projects.
Why teach coding if AI can write it?
Coding is not just about writing syntax—it’s about understanding how systems work. Even as AI generates code, someone still needs to design, direct, and debug those systems. We teach coding as a way to build that underlying intuition and control.
What tracks are currently available?
The foundational track is fully available. Quantitative finance and robotics are actively being developed, with new systems released as they are completed.
What are the requirements to start?
The program is designed for students ages 12–18. The only requirement is a solid grasp of basic arithmetic and the ability to read and type comfortably. Everything else is taught from the ground up.
Does my child need prior experience?
No. Students start from the fundamentals and progress step by step. The system is designed to take students from zero to the ability to build independently.
How much time should students spend on this?
Most students make strong progress with 30–60 minutes per session, a few times per week. The system is self-paced, so students can move faster or slower depending on their schedule.
Is the program self-paced or instructor-led?
The program is self-paced and structured. Students move through guided builds with instruction, prompts, and reinforcement built into the system.
What kind of support is available?
Students have access to guidance and support throughout the program to help them stay on track and move past challenges.
What does a typical student actually build?
Students build fully functional systems—including games with custom mechanics, financial models, robotics systems, and AI-driven applications.
Is there a guarantee?
Students can start with free access to the first 30 lessons before committing to full access. This allows families to evaluate the system and ensure it’s the right fit.
How can I get help or ask questions?
For additional questions or support, contact: support@cenestro.com