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✦ Robotics Designer - Ages 10–14

Flyer Robotics & Python Innovators

Flyer Robotics & Python Innovators is an advanced STEM program where students go beyond basic coding into real programming, embedded systems, electronics, and robotics. They learn Python and apply it to microcontrollers, sensors, automation systems, and smart devices through hands-on projects and engineering challenges that connect software with hardware, building computational thinking and innovation
⏱ 48 Hours of learning
🔴 Online - Personalized Live Classes
🤖Python & STEM Robotics
🎖 Certificate On Completion
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**Alt Text:** Smiling young student building and programming a robotics vehicle in a modern STEM learning lab, surrounded by electronics, sensors, and robotics components. The student is engaged in hands-on engineering and Python-based robotics learning in a bright, technology-focused environment.

Robotics Designer

Ages 10–14
Curriculum Designed By Educators And Technologists Who Worked For Tech Leaders
About Course

What Is This Course About?

Flyer Robotics & Python Innovators is designed for students who are ready to move beyond beginner coding and explore how real-world intelligent systems are built.
Students first develop a strong foundation in Python programming, learning how software solves problems, processes information, stores data, and automates tasks.
Once those foundations are established, students transition into embedded systems programming using MicroPython and the mPython development board, where they begin controlling real hardware through code.

Throughout the course, students build and program:
Python applications using variables, loops, functions, and file handling
Interactive LED lighting systems
OLED displays and graphical interfaces
Electronic music and audio projects
Touch-based smart systems
Motion-controlled applications using accelerometers
Sensor-driven intelligent devices
Autonomous robotic systems
Book a Free Trial Class
Every lesson combines programming, engineering, science, and mathematics through practical projects that encourage experimentation, creativity, and problem-solving.

Transparent Pricing

Pay monthly.
Stay because you love it.

Most coding academies ask you to pay upfront for months - before your child has even had a single class. At ItsMyBot, we think that's backwards. You pay month to month, and you're always in control.

What you get
Other Academies
ItsMyBot
Monthly billing
✗
✔ Yes
Full upfront payment required
✗ Often yes
✔ Never
Freedom to pause anytime
✗ Rarely
✔ Always
Pricing based on your needs
— Fixed plans
✔ Personalised
📅

Month-to-Month Enrolment

Enrol and pay one month at a time. No annual lock-ins, no large upfront amounts. Your investment stays proportional to the value your child receives.

🎯

Pricing Built Around You

Pricing varies based on the teacher, teaching style, and course chosen - because every learner is different. We'll tell you the exact cost after your free trial class, when you know what fits best.

🔓

Full Flexibility, Always

Life happens. If your needs change after any month, you have complete freedom to adjust. We'd love for you to stay - but we'll never make you feel stuck.

Why don't we show fixed prices? Because we don't believe in one-size-fits-all. Different teachers bring different expertise, teaching methods, and experience - and that's reflected in how we price. The best way to find your fit is to take the free trial lesson first, meet your instructor, and then decide. Pricing is shared after the trial - transparently, with no pressure.

Start for free - no card required

Book Your Free Trial Lesson

No commitment. No pressure. Pricing shared after the trial lesson.

Why This Course

What Your Child Actually Gains

Programming Foundations That Matter
  • Builds strong Python programming skills used in Robotics, Artificial Intelligence, Data Science, Cybersecurity, and Software Development
  • Learns professional programming concepts including variables, conditions, loops, functions, data structures, exception handling, and file management
  • Develops computational thinking and structured problem-solving abilities
  • Understands how software systems process, store, and manage information
STEM Learning Beyond Textbooks
  • Applies Science concepts including light, sound, waves, motion, sensors, electricity, and communication systems
  • Uses Mathematics through coordinates, logic, patterns, measurements, probability, calculations, and data analysis
  • Explores Engineering through prototyping, testing, debugging, and system design
  • Understands Technology through programming, automation, electronics, embedded systems, and robotics
Experiential & Hands-On Learning
  • Learns by building real projects rather than memorizing theory
  • Programs hardware using industry-relevant tools and technologies
  • Creates intelligent systems that respond to real-world inputs
  • Gains practical experience with sensors, displays, and microcontrollers
  • Understands how software controls hardware devices
Psychomotor & Cognitive Development
  • Strengthens fine motor skills through electronics and hardware interaction
  • Improves hand-eye coordination through physical computing activities
  • Develops spatial reasoning through robotics navigation and system design
  • Enhances analytical thinking through debugging and optimization
  • Builds perseverance by solving engineering and programming challenges
Future-Ready Skills
  • Python Programming
  • Computational Thinking
  • Embedded Systems Development
  • Robotics Engineering
  • IoT Foundations
  • Engineering Design Thinking
  • Problem Solving & Innovation
  • Data Analysis & Interpretation
  • Technical Communication & Presentation
Personalized Learning Support
  • Live instruction from experienced STEM educators
  • Personalized project guidance and mentorship
  • Regular progress updates and feedback
  • Flexible learning pathways based on student strengths and interests
  • Certificate of Completion recognizing technical achievement
Skills Built

What Will Students Build?

Every project is designed to transform STEM concepts into working technologies.
Here's a glimpse of what students create:
Python Applications using real-world programming concepts
File Processing and Data Management Projects
RGB LED Lighting Systems
OLED Displays with Graphics, Text & Animations
Emoji Designers and Smart Message Boards
Electronic Music Systems using Buzzers
Touch-Controlled Security Systems
Interactive Musical Touch Interfaces
Motion-Controlled Games using Accelerometers
Sensor-Based Data Display Systems
Distance Measurement and Monitoring Devices
Intelligent Embedded Systems
Autonomous Robotic Vehicles
Wireless Communication Projects
Navigation and Obstacle Avoidance Robots
A Complete Integrated Smart Robotics Solution
Note: Projects may vary slightly based on student pace, interests, and prior experience. Instructors personalize projects while ensuring mastery of core STEM and programming concepts.
Course Curriculum

Flyer Robotics & Python Innovators –Curriculum

48 Hrs of live instruction. Each module builds on the last.

Lesson 1 — Welcome to Python Programming

  • What is programming?
  • Why Python is used in AI, Robotics, and STEM
  • Setting up the Python environment
  • Writing your first Python program
  • Understanding program execution

Lesson 2 — Variables and Data Types

  • Variables and memory
  • Numbers, strings, and booleans
  • Naming conventions
  • Input and output functions
  • Interactive coding exercises

Lesson 3 — Operators and Expressions

  • Arithmetic operators
  • Comparison operators
  • Logical operators
  • Building simple calculators
  • Problem-solving activities

Lesson 4 — Decision Making with Python

  • If statements
  • If-Else conditions
  • Nested conditions
  • Real-world decision systems
  • Coding challenges

Lesson 5 — Loops and Repetition

  • For loops
  • While loops
  • Counters and accumulators
  • Building number patterns
  • Automation concepts

Lesson 6 — Working with Strings

  • String operations
  • Concatenation
  • Indexing and slicing
  • String methods
  • Interactive text challenges

Lesson 7 — Lists and Collections

  • Creating lists
  • Accessing elements
  • Updating data
  • List operations
  • Real-world applications

Lesson 8 — Tuples and Dictionaries

  • Understanding data structures
  • Key-value pairs
  • Organizing information
  • Practical coding exercises

Lesson 9 — Functions and Reusable Code

  • Defining functions
  • Parameters and arguments
  • Return values
  • Code modularity
  • Mini project

Lesson 10 — Problem Solving with Functions

  • Breaking down problems
  • Reusable logic
  • Function-based applications
  • Coding challenges

Lesson 11 — Nested Loops and Patterns

  • Pattern generation
  • Coordinate thinking
  • Computational reasoning
  • Logic-building exercises

Lesson 12 — Mini Python Project

  • Combine variables, loops, conditions, and functions
  • Build a complete application
  • Project review and debugging

 

Lesson 13 — Introduction to File Handling

  • Why programs use files
  • Reading data from files
  • Writing data to files
  • Real-world examples

Lesson 14 — Working with Text Files

  • Reading text files
  • Writing and appending content
  • Data storage concepts
  • File-based applications

Lesson 15 — Exception Handling Basics

  • Understanding errors
  • Try and Except blocks
  • Safe programming practices
  • Debugging exercises

Lesson 16 — Data Processing with Python

  • Reading structured data
  • Processing information
  • Building simple reports
  • Real-world examples

Lesson 17 — Python Challenge Lab

  • Logic problems
  • Data handling challenges
  • Coding assessment activities

Lesson 18 — Python Foundations Capstone

  • Build a complete Python application
  • Use functions, loops, conditions, and file handling
  • Showcase project

Lesson 19 — Understanding Microcontrollers

  • What is a microcontroller?
  • Software vs hardware
  • How embedded systems work
  • Introduction to the mPython board

Lesson 20 — Communicating with Hardware

  • REPL mode
  • Testing MicroPython commands
  • Inputs and outputs
  • Interactive hardware programming

Lesson 21 — Your First Embedded Programs

  • Running programs on hardware
  • Debugging techniques
  • Program execution flow
  • Practical activities

Lesson 22 — RGB LEDs and Digital Displays

  • Understanding LEDs
  • Color simulation effects
  • RGB programming
  • Interactive lighting projects

Lesson 23 — OLED Display Fundamentals

  • OLED display concepts
  • Text and graphics
  • Display methods
  • Visual output systems

Lesson 24 — Graphics and Emoji Design

  • Drawing polygons
  • Creating emojis
  • Bitmap displays
  • Creative design challenge

Lesson 25 — Smart Message Boards

  • Scrolling text
  • Text wrapping
  • Display interfaces
  • Mini project

Lesson 26 — Visual Systems Challenge

  • Combine LEDs and OLED displays
  • Build a digital information system
  • Showcase project

Lesson 27 — Science of Sound

  • Sound generation
  • Buzzers and audio systems
  • Music and technology
  • STEM exploration

Lesson 28 — Music Programming Lab

  • Playing tunes
  • Notes and rhythm
  • Interactive melodies
  • Creative coding activities

Lesson 29 — Touch Sensors and Smart Inputs

  • Touchpad sensing
  • Human-machine interaction
  • Interactive controls
  • Hardware experiments

Lesson 30 — Security Systems Challenge

  • Passcode systems
  • Touch-based authentication
  • Logic and decision making
  • Build a security project

 

Lesson 31 — Event-Driven Programming

  • Interrupts and ISR concepts
  • Sensor-triggered events
  • Responsive systems
  • Embedded intelligence

Lesson 32 — Accelerometer Fundamentals

  • Motion sensing
  • Orientation detection
  • Real-world applications
  • STEM activities

Lesson 33 — Motion-Controlled Games

  • Accelerometer game design
  • Interactive controls
  • Physics and movement
  • Project challenge

Lesson 34 — Smart Sensor Systems

  • Combining multiple sensors
  • Intelligent responses
  • Data interpretation
  • Mini project

Lesson 35 — Robotics Hardware Integration

  • Firmware installation
  • Connecting mPython and WeeeBot
  • System architecture
  • Hardware setup

Lesson 36 — Smart Lighting and Displays

  • Robot RGB LEDs
  • OLED border displays
  • Visual feedback systems
  • Interactive robotics

Lesson 37 — Advanced Display Engineering

  • Bitmap scrolling displays
  • Smart information displays
  • Robotics interfaces
  • Creative challenge

Lesson 38 — Ultrasonic Distance Measurement

  • Distance sensing
  • OLED data display
  • Sensor calibration
  • Data interpretation

Lesson 39 — Line Following Technology

  • Black vs white detection
  • Sensor behavior
  • Line-tracking systems
  • Engineering challenge

Lesson 40 — Obstacle Detection and Avoidance

  • Obstacle sensing
  • Autonomous responses
  • Decision-making algorithms
  • Robotics applications

Lesson 41 — Cliff Detection and Safety Systems

  • Safety sensing
  • Autonomous protection systems
  • Real-world engineering concepts
  • Project activity

Lesson 42 — Autonomous Vehicle Engineering

  • Autonomous car behavior
  • Navigation systems
  • Motion control
  • Smart mobility concepts

Lesson 43 — Intelligent Robot Navigation

  • Path following
  • Sensor-guided movement
  • Navigation logic
  • Robotics programming

Lesson 44 — Wireless Communication Systems

  • Bluetooth communication
  • Connected devices
  • Smart technologies
  • Interactive control systems

Lessons 45–48 — Integrated Robotics Challenge

  • Combine displays, sensors, and movement
  • Build a complete robotic solution
  • Engineering teamwork challenge
Download Full Module Breakdown (PDF)
Course Curriculum

Flyer Robotics & Python Innovators –Curriculum

48 Hours of live instruction. Each module builds on the last.

Build strong coding fundamentals using Python before bringing your ideas to life through robotics, automation, and intelligent systems.

Module 1: Python Programming Essentials

Lesson 1 — Welcome to Python Programming

  • What is programming?
  • Why Python is used in AI, Robotics, and STEM
  • Setting up the Python environment
  • Writing your first Python program
  • Understanding program execution

Lesson 2 — Variables and Data Types

  • Variables and memory
  • Numbers, strings, and booleans
  • Naming conventions
  • Input and output functions
  • Interactive coding exercises

Lesson 3 — Operators and Expressions

  • Arithmetic operators
  • Comparison operators
  • Logical operators
  • Building simple calculators
  • Problem-solving activities

Lesson 4 — Decision Making with Python

  • If statements
  • If-Else conditions
  • Nested conditions
  • Real-world decision systems
  • Coding challenges

Lesson 5 — Loops and Repetition

  • For loops
  • While loops
  • Counters and accumulators
  • Building number patterns
  • Automation concepts

Lesson 6 — Working with Strings

  • String operations
  • Concatenation
  • Indexing and slicing
  • String methods
  • Interactive text challenges

Module 2: Computational Thinking with Python

Lesson 7 — Lists and Collections

  • Creating lists
  • Accessing elements
  • Updating data
  • List operations
  • Real-world applications

Lesson 8 — Tuples and Dictionaries

  • Understanding data structures
  • Key-value pairs
  • Organizing information
  • Practical coding exercises

Lesson 9 — Functions and Reusable Code

  • Defining functions
  • Parameters and arguments
  • Return values
  • Code modularity
  • Mini project

Lesson 10 — Problem Solving with Functions

  • Breaking down problems
  • Reusable logic
  • Function-based applications
  • Coding challenges

Lesson 11 — Nested Loops and Patterns

  • Pattern generation
  • Coordinate thinking
  • Computational reasoning
  • Logic-building exercises

Lesson 12 — Mini Python Project

  • Combine variables, loops, conditions, and functions
  • Build a complete application
  • Project review and debugging

Module 3: Data Handling & Real-World Programming

Lesson 13 — Introduction to File Handling

  • Why programs use files
  • Reading data from files
  • Writing data to files
  • Real-world examples

Lesson 14 — Working with Text Files

  • Reading text files
  • Writing and appending content
  • Data storage concepts
  • File-based applications

Lesson 15 — Exception Handling Basics

  • Understanding errors
  • Try and Except blocks
  • Safe programming practices
  • Debugging exercises

Lesson 16 — Data Processing with Python

  • Reading structured data
  • Processing information
  • Building simple reports
  • Real-world examples

Lesson 17 — Python Challenge Lab

  • Logic problems
  • Data handling challenges
  • Coding assessment activities

Lesson 18 — Python Foundations Capstone

  • Build a complete Python application
  • Use functions, loops, conditions, and file handling
  • Showcase project

Build strong coding fundamentals using Python before bringing your ideas to life through robotics, automation, and intelligent systems.

Module 4: Introduction to Microcontrollers

Lesson 19 — Understanding Microcontrollers

  • What is a microcontroller?
  • Software vs hardware
  • How embedded systems work
  • Introduction to the mPython board

Lesson 20 — Communicating with Hardware

  • REPL mode
  • Testing MicroPython commands
  • Inputs and outputs
  • Interactive hardware programming

Lesson 21 — Your First Embedded Programs

  • Running programs on hardware
  • Debugging techniques
  • Program execution flow
  • Practical activities

Module 5: Visual Computing and Smart Displays

Lesson 22 — RGB LEDs and Digital Displays

  • Understanding LEDs
  • Color simulation effects
  • RGB programming
  • Interactive lighting projects

Lesson 23 — OLED Display Fundamentals

  • OLED display concepts
  • Text and graphics
  • Display methods
  • Visual output systems

Lesson 24 — Graphics and Emoji Design

  • Drawing polygons
  • Creating emojis
  • Bitmap displays
  • Creative design challenge

Lesson 25 — Smart Message Boards

  • Scrolling text
  • Text wrapping
  • Display interfaces
  • Mini project

Lesson 26 — Visual Systems Challenge

  • Combine LEDs and OLED displays
  • Build a digital information system
  • Showcase project

Module 6: Sound, Touch & Interactive Systems

Lesson 27 — Science of Sound

  • Sound generation
  • Buzzers and audio systems
  • Music and technology
  • STEM exploration

Lesson 28 — Music Programming Lab

  • Playing tunes
  • Notes and rhythm
  • Interactive melodies
  • Creative coding activities

Lesson 29 — Touch Sensors and Smart Inputs

  • Touchpad sensing
  • Human-machine interaction
  • Interactive controls
  • Hardware experiments

Lesson 30 — Security Systems Challenge

  • Passcode systems
  • Touch-based authentication
  • Logic and decision making
  • Build a security project

Module 7: Sensors, Motion & Smart Systems

Lesson 31 — Event-Driven Programming

  • Interrupts and ISR concepts
  • Sensor-triggered events
  • Responsive systems
  • Embedded intelligence

Lesson 32 — Accelerometer Fundamentals

  • Motion sensing
  • Orientation detection
  • Real-world applications
  • STEM activities

Lesson 33 — Motion-Controlled Games

  • Accelerometer game design
  • Interactive controls
  • Physics and movement
  • Project challenge

Lesson 34 — Smart Sensor Systems

  • Combining multiple sensors
  • Intelligent responses
  • Data interpretation
  • Mini project

Build, program, and test intelligent robotic systems using real-world engineering principles

Module 8: Hardware Integration Foundations

Lesson 35 — Robotics Hardware Integration

  • Firmware installation
  • Connecting mPython and WeeeBot
  • System architecture
  • Hardware setup

Lesson 36 — Smart Lighting and Displays

  • Robot RGB LEDs
  • OLED border displays
  • Visual feedback systems
  • Interactive robotics

Lesson 37 — Advanced Display Engineering

  • Bitmap scrolling displays
  • Smart information displays
  • Robotics interfaces
  • Creative challenge

Module 9: Sensor-Based Robotic Intelligence

Lesson 38 — Ultrasonic Distance Measurement

  • Distance sensing
  • OLED data display
  • Sensor calibration
  • Data interpretation

Lesson 39 — Line Following Technology

  • Black vs white detection
  • Sensor behavior
  • Line-tracking systems
  • Engineering challenge

Lesson 40 — Obstacle Detection and Avoidance

  • Obstacle sensing
  • Autonomous responses
  • Decision-making algorithms
  • Robotics applications

Lesson 41 — Cliff Detection and Safety Systems

  • Safety sensing
  • Autonomous protection systems
  • Real-world engineering concepts
  • Project activity

Module 10: Autonomous Robotics & Innovation

Lesson 42 — Autonomous Vehicle Engineering

  • Autonomous car behavior
  • Navigation systems
  • Motion control
  • Smart mobility concepts

Lesson 43 — Intelligent Robot Navigation

  • Path following
  • Sensor-guided movement
  • Navigation logic
  • Robotics programming

Lesson 44 — Wireless Communication Systems

  • Bluetooth communication
  • Connected devices
  • Smart technologies
  • Interactive control systems

Lessons 45–48 — Integrated Robotics Challenge

  • Combine displays, sensors, and movement
  • Build a complete robotic solution
  • Engineering teamwork challenge

The ItsMyBot Difference

Why Parents Choose Us

  • Strong foundation in Python programming before robotics integration
  • Hands-on STEM curriculum combining software and hardware learning
  • Real microcontrollers, sensors, displays, and robotics systems
  • Project-based learning that mirrors real engineering workflows
  • Strong alignment with school-level Science, Mathematics, and Technology concepts
  • Personalized instruction and mentorship
  • Regular progress reports and learning feedback
  • Focus on innovation, creativity, and future technologies
  • Learning pathways designed to prepare students for Robotics, AI, IoT, Electronics, and Computer Science
Enroll Now
faqs

Get to Know Us Better

Yes — 100% live and one-on-one with a dedicated instructor. Your child learns in real time, asks questions freely, and follows a flexible schedule that fits around school and family. Nothing is pre-recorded.

It's an advanced STEM program for ages 10–14. Over 48 live hours, your child learns real Python, then applies it to microcontrollers, sensors, and robotics — connecting software with real hardware.

No. The course starts from Python fundamentals and gradually moves into robotics and embedded systems, so complete beginners are welcome and confident from day one.

It's a balanced blend. Your child first builds a strong Python foundation, then uses those skills to program real hardware, sensors, and intelligent robotic systems.

Genuinely impressive projects — Python apps, LED and OLED display systems, electronic music, touch-controlled security, motion-controlled games, sensor systems, and autonomous robotic vehicles.

Genuinely impressive projects — Python apps, LED and OLED display systems, electronic music, touch-controlled security, motion-controlled games, sensor systems, and autonomous robotic vehicles.

Your child uses the Flyer Robotics Kit, an mPython board, and a computer with internet. The hardware lets them program real microcontrollers using MicroPython, not just simulations.

Cruiser is the STEM starting point for ages 7–12. Flyer is the next step up — for ages 10–14, it goes deeper into real Python programming, embedded systems, and more advanced robotics.

It's 48 hours of live instruction across 10 modules, each building on the last, ending in a complete integrated robotics innovation project.

Yes! Your child earns an ItsMyBot Certificate of Completion after finishing the course and final innovation showcase.

This course opens doors into Robotics, AI, IoT, Electronics, and Computer Science — a strong foundation for advanced STEM learning and future tech careers.

Of course. Book a free trial, and our team will assess your child's readiness and recommend a personalised roadmap — no commitment required.
🚀 Hurry! Reserve Your FREE Trial Class Seat Today

Ready To Build Intelligent Technology?

From Python code to autonomous robots, every innovation starts with curiosity.
Book a FREE Trial Class Today!
Experience the future of STEM learning through programming, embedded systems, robotics, and innovation.
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