Introduction to Engineering — Foundation
Home Programs Level 1
01 Foundation

Introduction to Engineering

Ages 5 — 11

Where the journey begins. We transform children's natural wonder and curiosity into real, measurable engineering fundamentals — using professional-grade tools, not toys. Every child leaves each session having built something that works.

We Don't Hand Them Answers.
We Teach Them How to Find Answers.

At Legit Robotics, Level 1 is about much more than following instructions. When students encounter a problem, the answer is never simply given to them. Instead, they learn to research online, use generative AI tools like Gemini and ChatGPT to understand concepts, and debug their own issues through trial and error.

This builds autonomy, resilience, and creative problem-solving skills from the earliest age — skills that will serve them for life, not just in robotics.

Logical Thinking

Understanding cause and effect. Learning to decompose complex problems into simple, solvable steps.

Independent Research

Using search engines and AI assistants to find solutions — not relying solely on the instructor.

Trial & Error

Embracing failure as part of engineering. Every broken circuit is a lesson learned.

Collaborative Building

Working in small groups of 10: sharing ideas, debugging together, and presenting results.

A Complete Engineering Foundation

Five interconnected disciplines that together build a real understanding of how machines think, move, and learn.

01

Mechanics & Robotics

LEGO Spike Prime · Physical Construction · Sensor Integration

Students learn the anatomy of a robot through hands-on construction with LEGO Spike Prime kits. They understand that every robot has three core systems: sensors (input), controllers (processing), and actuators (output) — and how information flows between them. This isn't just building with blocks; it's learning how real machines are designed.

Gear trains & mechanisms
Sensor types & uses
Motor control basics
Structural integrity
Input-Process-Output logic
Robot component anatomy
02

Logical Programming

Scratch · Block-Based Coding · Project-Driven Logic

Before writing a single line of text code, students master the logic of programming through Scratch's visual block system. Every concept — loops, conditionals, variables, events — is learned through building real, interactive projects: games, animations, and robot control programs.

Sequencing & algorithms
Loops & conditionals
Variables & data
Event-driven programming
Debugging skills
Interactive projects
03

3D Design & Spatial Thinking

Tinkercad · 3D Modeling · Custom Part Creation

Students develop spatial reasoning and mechanical design skills through Tinkercad's intuitive 3D modeling environment. They learn to design custom robot parts, chassis, and enclosures — understanding that an engineer must visualize and create the physical components their project needs.

3D spatial reasoning
Geometric primitives
Boolean operations
Measurement & scale
Custom part design
From digital to physical
04

Artificial Intelligence Basics

Machine Learning · Dataset Creation

Even at this age, our students don't just use AI — they create their own AI models. They build and test custom datasets for four key areas: image classification, object detection, pose estimation, and audio classification. They see firsthand how machines learn from data.

Image classification
Object detection
Pose estimation
Audio classification
Dataset creation
Training & testing
05

Applied Sciences

Mathematics · Physics · Foundation for Electronics

We don't teach math and physics in a vacuum. Instead, these concepts are woven directly into every project. When a robot needs to turn at a specific angle — that's geometry. When a motor needs to spin faster — that's understanding ratios. Students learn to see science not as a subject, but as a tool for building real things.

Basic geometry
Ratios & proportions
Force & motion
Energy concepts
Measurement units
Scientific reasoning

Every Session is a Mission, Not a Lecture

Our teaching methodology is engineered to develop autonomous, resilient young thinkers.

Project-Based Learning

Every session has a clear engineering goal. Students don't practice exercises — they build real, functional things that solve real problems.

AI-Assisted Debugging

Students learn to use Gemini and ChatGPT as research tools — asking questions, pasting errors, and iterating on solutions like real developers.

Engineer Instructors

Our teachers are engineers and PhD researchers — they bring real-world experience, not textbook theory, to every session.

Small Groups of 10

Maximum 10 students per session ensures personalized mentoring. Every child gets hands-on time with equipment and direct instructor feedback.

Updated in Real Time

Our curriculum is continuously updated with the latest tech. We don't wait for universities — we create the courses that universities will teach in 5 years.

Build → Test → Iterate

The real engineering cycle: design it, build it, test it, fix it, improve it. Failure is never punished — it's celebrated as a learning step.

Professional Tools, Scaled for Young Minds

LEGO Education

Industry-recognized robotics construction system with integrated sensors, motors, and programmable hubs

Scratch

MIT's visual programming environment — the global standard for introducing children to coding logic

Tinkercad

Autodesk's intuitive 3D design tool for modeling custom robot parts and mechanical components

Claude Code

Generative AI assistants used as research and debugging tools — teaching prompt engineering from day one

Custom Educational Kit

Our proprietary kit — currently in development and testing by our R&D team. Designed to solve the limitations of existing branded educational kits. Coming soon.

After Level 1, Your Child Can...

Build a Functional Robot

Design and assemble a working robot with sensors, motors, and logic — understanding every component's purpose.

Write Programs

Create their own programs with loops, conditionals, and variables — and debug them independently.

Design in 3D

Model custom 3D parts that can be 3D printed — turning ideas from imagination into physical objects.

Train an AI Model

Create their own machine learning datasets and train models for image recognition and audio classification.

Research Independently

Use AI tools and online resources to find answers, debug problems, and explore new concepts on their own.

Think Like an Engineer

Approach problems systematically: define it, research it, design a solution, build it, test it, improve it.

Ready to Build Their Future?

Book a visit to see how our Level 1 students are already building robots, training AI models, and thinking like engineers — from age 5.