✦ Senior Coder · Ages 12–16+

C++ Programming & Virtual Robotics Engineering Program

Build Intelligent Software. Program Virtual Robots. Think Like an Engineer.

Build real-world C++ applications and virtual robotics systems while learning object-oriented programming, automation, Arduino, sensors, and circuit simulation with TinkerCAD.

⏱ 44-46 Hrs + 3-4 Hrs Assessment

🔴 Online - Personalized Live Classes

💻 C++ programming language

🎖 Certificate On Completion

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Curriculum Designed By Educators And Technologists Who Worked For Tech Leaders
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Course Overview

What Is This Course About?

Behind autonomous robots, smart devices, self-driving technologies and industrial automation lies a powerful combination of software, electronics and engineering.

Students move beyond traditional programming and discover what happens when code starts controlling the physical world.

They learn C++ programming, Object-Oriented Programming, Arduino programming, electronic circuits, sensors, actuators, automation and robotics through Tinkercad virtual simulations.

By the end of the program, students will have built C++ applications, virtual Arduino systems, sensor-based automation projects and intelligent robotics simulations.

Students therefore learn more than a programming language.

They learn how software can control systems in the real world.

Why C++?

C++ remains an important language for software where performance, efficiency and control matter.

The skills developed in this course connect to several engineering and technology industries.

  • Robotics Programming autonomous and semi-autonomous systems.
  • Embedded Systems Developing software that operates close to hardware.
  • Automotive Technology Control systems and autonomous technologies.
  • Industrial Automation Programming machines and automated processes.
  • Aerospace High-performance and engineering software.
  • Electronics Microcontrollers, sensors and smart devices.
  • Game Development High-performance engines and interactive systems.
  • Artificial Intelligence & Robotics Building intelligent systems that interact with their environment.
Our approach

More than a C++ programming course

Many programming courses stop at:

Write code Run code Get output

This program goes further:

  1. Write code
  2. Connect hardware
  3. Read sensors
  4. Process data
  5. Make decisions
  6. Control outputs
  7. Automate a system
  8. Test & debug
  9. Use AI to investigate problems
  10. Validate through simulation

Students begin thinking like software engineers and robotics engineers, rather than simply learning programming commands.

Robots don't simply follow instructions.

They constantly:

Sense Analyse Decide Act

This course asks a much bigger question:

What can you build with the code?

Students use C++ to:

  • Control LEDs
  • Read buttons
  • Process sensor values
  • Control motors
  • Detect obstacles
  • Create automated systems
  • Build virtual robots
  • Simulate engineering solutions

This creates a bridge between:

Software Electronics Engineering
New

AI-assisted engineering and robotics debugging

Use AI to diagnose. Use simulation to prove.

Modern engineers increasingly work with AI tools.

But the value isn't simply asking AI:

“Write my code.”

In this course, students use AI differently.

They use AI to investigate engineering problems.

Multimodal AI for robotics

Students use Gemini and ChatGPT to investigate problems involving:

  • C++ code
  • Circuit configurations
  • Sensor behaviour
  • Arduino logic
  • Robotics systems
  • Unexpected outputs

Because these AI systems can work with visual information, students can provide relevant circuit information and ask questions about what might be happening.

AI doesn’t get the final answer

Suppose a student's virtual robot isn't behaving correctly. The student:

  1. 1

    Observes the behaviour

  2. 2

    Checks the C++ code

  3. 3

    Examines the circuit

  4. 4

    Uses AI to suggest possible causes

    Students can use AI to ask questions such as:

    • “Why might this sensor be producing unexpected values?”
    • “What could cause this LED to behave incorrectly?”
    • “What part of this C++ logic should I investigate?”
    • “What are possible reasons this servo isn't responding as expected?”

    But students must then test those possibilities.

  5. 5

    Forms a hypothesis

  6. 6

    Tests the hypothesis in Tinkercad

    Students don't simply accept an AI explanation. They test it through simulation.

    For example:

    AI suggests: “The problem may be caused by the sensor threshold.” Student changes the threshold. Runs Tinkercad. Observes the sensor behaviour. Compares the result.

    Was the AI diagnosis correct? If not, students investigate further.

  7. 7

    Fixes the actual problem

  8. 8

    Verifies the result

This creates a powerful engineering cycle:

Observe Diagnose Test Fix Validate

AI suggests. Engineering evidence decides.

A plausible explanation is not the same as a verified solution.

AI can generate C++. It can suggest Arduino code. It can explain errors. It can even identify possible circuit problems. But it cannot replace the student's understanding of:

  • Variables
  • Logic
  • Functions
  • Memory
  • Sensors
  • Circuits
  • Arduino
  • Timing
  • State
  • Robotics

Students need this knowledge to determine whether an AI suggestion actually makes sense.

The better you understand the system, the better you can use AI.

Projects

Build Real Engineering Projects

Students develop an impressive portfolio throughout the program.

Projects include:

  • Smart Calculator

  • Digital Logic Simulator

  • Casino Luck Game

  • Student Marks Analyzer

  • Traffic Light Controller

  • Quiz Buzzer System

  • Automatic Night Lamp

  • Temperature Alert System

  • Smart Security Console

  • Servo Control System

  • Parking Assistant

  • Obstacle Avoidance Logic

  • Smart Elevator Controller

  • Greenhouse Automation System

These projects combine programming, electronics, automation and engineering problem-solving.

Final Engineering Challenge

Virtual Robotics Engineering Challenge

Students design, program, test and present an intelligent automation system using:

C++ Arduino Tinkercad Sensors Automation Logic

The AI-enhanced version adds another engineering layer:

DiagnoseTestValidate

Students can use AI during the development process to investigate a C++, circuit or sensor problem and then demonstrate whether the diagnosis actually works in simulation.

Curriculum

Curriculum: 44–46 Hours + 3–4 Hours Assessment

Build Intelligent Software, Program Virtual Robots & Explore Embedded Systems Engineering with C++ and TinkerCAD

Students progress from C++ programming fundamentals into software engineering and virtual robotics by learning how to develop structured applications, implement object-oriented programming, simulate electronic circuits, program Arduino-based systems, control sensors and actuators, and build intelligent automation projects using C++ and TinkerCAD.

Module 1: C++ Programming Foundations

1 Introduction to C++ & Software Engineering Practice: Hello Developer
  • Why C++ powers modern engineering and robotics
  • Writing Your First C++ Program
  • Header Files & main()
  • Console Output
  • Development Workflow
  • Practice: Hello Developer
2 Variables & Data Types Practice: Personal Profile Generator
  • Variables
  • Primitive Data Types
  • User Input
  • Variable Initialization
  • Data Representation
  • Practice: Personal Profile Generator
3 Operators & Expressions Practice: Smart Calculator
  • Arithmetic Operators
  • Assignment Operators
  • Increment & Decrement
  • Expressions
  • Operator Precedence
  • Practice: Smart Calculator
4 Decision Making with Code Practice: Eligibility Checker
  • Boolean Logic
  • Comparison Operators
  • if / else Statements
  • Program Flow
  • Practice: Eligibility Checker

Module 2: Programming Logic & Computational Thinking

5 Building Intelligent Decision Systems Practice: Smart Ticket Booking System
  • Nested Conditions
  • Logical Operators
  • Multi-Level Decision Making
  • Practice: Smart Ticket Booking System
6 Digital Logic & Boolean Thinking Practice: Digital Logic Simulator
  • AND Logic
  • OR Logic
  • NOT Logic
  • Truth Tables
  • Software Decision Systems
  • Practice: Digital Logic Simulator
7 Efficient Decision Making Practice: Number Analyzer
  • Ternary Operators
  • Compact Logic
  • Conditional Expressions
  • Practice: Number Analyzer
8 Randomness & Probability Practice: Casino Challenge
  • Random Numbers
  • Basic Probability
  • Simulation Logic
  • Practice: Casino Challenge

Module 3: Automation with Loops & Functions

9 Loop Fundamentals Practice: Multiplication Generator
  • for Loops
  • Counting Patterns
  • Repetition
  • Practice: Multiplication Generator
10 Condition-Controlled Loops Practice: Palindrome Analyzer
  • while Loops
  • Input Validation
  • Repetitive Algorithms
  • Practice: Palindrome Analyzer
11 Guaranteed Execution Practice: Armstrong Number Checker
  • do-while Loops
  • User-Controlled Programs
  • Practice: Armstrong Number Checker
12 Pattern Generation
  • Nested Loops
  • Computational Thinking
  • Algorithm Design
  • Pattern Challenges
13 Functions & Modular Programming
  • Creating Functions
  • Parameters
  • Return Values
  • Modular Design
14 Building Reusable Software Practice: Modular Calculator
  • Multiple Functions
  • Code Reuse
  • Program Organisation
  • Practice: Modular Calculator
15 Function Overloading
  • Overloaded Functions
  • Flexible Programming
  • Software Reusability
16 Recursive Problem Solving Practice: Recursive Challenges
  • Recursion
  • Recursive Algorithms
  • Problem Decomposition
  • Practice: Recursive Challenges

Module 4: Data Structures & Memory Management

17 Working with Arrays
  • One-Dimensional Arrays
  • Traversal
  • Indexing
18 Data Analysis Practice: Student Performance Analyzer
  • Searching Arrays
  • Maximum & Minimum
  • Statistical Analysis
  • Practice: Student Performance Analyzer
19 Memory & Pointers
  • Memory Concepts
  • Pointer Fundamentals
  • Addressing
20 References & Efficient Programming
  • Reference Variables
  • Pass by Reference
  • Efficient Memory Usage
A
Software Engineering Coding Challenge Assessment
  • Arrays
  • Functions
  • Algorithms
  • Problem Solving

Module 5: Object-Oriented Software Engineering

21 Thinking in Objects
  • Classes
  • Objects
  • Attributes
  • Methods
22 Encapsulation
  • Public & Private Members
  • Data Protection
  • Object Design
23 Constructors
  • Object Initialization
  • Constructors
  • Clean Design
24 Inheritance
  • Parent & Child Classes
  • Code Reuse
  • Software Architecture
25 Polymorphism
  • Method Overriding
  • Dynamic Behaviour
  • Flexible Software Design
26 Mini Software Engineering Project Project: Smart Student Management System
  • Multi-Class Design
  • Object Collaboration
  • Project: Smart Student Management System

Module 6: Virtual Robotics with Arduino & TinkerCAD

27 Introduction to Virtual Robotics
  • TinkerCAD Environment
  • Arduino Fundamentals
  • Breadboards
  • Embedded Programming
28 Digital Outputs Project: Smart LED Controller
  • LEDs
  • Digital Signals
  • Blink Logic
  • Project: Smart LED Controller
29 Traffic Automation Project: Intelligent Traffic Control System
  • Multiple Outputs
  • Timing Logic
  • Project: Intelligent Traffic Control System
30 Interactive Input Systems Project: Quiz Buzzer Console
  • Push Buttons
  • Digital Inputs
  • User Interaction
  • Project: Quiz Buzzer Console

Module 7: Sensors & Intelligent Automation

31 Understanding Sensors
  • Analog Inputs
  • Sensor Values
  • Data Acquisition
32 Smart Lighting Systems Project: Automatic Night Lamp
  • Light Sensors
  • Threshold Detection
  • Project: Automatic Night Lamp
33 Environmental Monitoring Project: Smart Temperature Monitor
  • Temperature Sensors
  • Alert Systems
  • Project: Smart Temperature Monitor
34 Automation Logic Project: Plant Care Assistant
  • Multi-Condition Decisions
  • Sensor Integration
  • Project: Plant Care Assistant

Module 8: Real-Time Embedded Systems

35 Timing Without Delay
  • millis()
  • Real-Time Programming
36 Reaction Timing Project: Reaction Speed Tester
  • Timed Events
  • Human Interaction
  • Project: Reaction Speed Tester
37 Security Systems
  • Sequential Logic
  • Password Verification
  • Embedded Security
38 Memory & State Machines
  • Arrays
  • Timing
  • State-Based Programming
A
Smart Security Console Assessment

Module 9: Motion Control & Robotics

39 PWM Fundamentals
  • analogWrite()
  • Smooth Control
40 Intelligent Lighting Project: Smart Mood Lamp
  • Brightness Control
  • Fading Effects
  • Project: Smart Mood Lamp
41 Servo Motor Programming
  • Servo Library
  • Motion Control
  • Angle Positioning
42 Embedded Motion Systems Project: Servo Controller
  • Servo Control
  • Robotic Movement
  • Project: Servo Controller

Module 10: Intelligent Robotics Systems

43 Distance Detection
  • Ultrasonic Sensors
  • Distance Measurement
44 Smart Parking Assistant Project: Parking Assistant System
  • Safe Zone Detection
  • Obstacle Monitoring
  • Project: Parking Assistant System
45 Autonomous Navigation Logic Project: Virtual Robot Brain
  • Obstacle Detection
  • Decision Making
  • Project: Virtual Robot Brain
46 Intelligent Control Systems Project: Smart Elevator Controller
  • Queue Algorithms
  • Scheduling
  • Project: Smart Elevator Controller

Module 11: AI-Assisted Engineering & Robotics Debugging

Use AI to Diagnose. Use Simulation to Prove.

47 AI as an Engineering Assistant Activity: What’s Wrong With My System?
  • AI-assisted engineering
  • Gemini and ChatGPT
  • Multimodal AI
  • AI-assisted code diagnosis
  • AI-assisted circuit analysis
  • Sensor problem diagnosis
  • Engineering hypotheses
  • Evaluating AI suggestions
  • Human judgement

Students receive a C++ + Arduino/Tinkercad project containing a deliberate problem.

48 Multimodal AI Diagnosis Activity: AI Robotics Detective
  • Providing AI with relevant technical context
  • Reading C++ code alongside circuit information
  • Circuit diagnosis
  • Sensor diagnosis
  • Code diagnosis
  • Comparing multiple hypotheses
  • Identifying likely root causes
49 Validate the AI Diagnosis in TinkerCAD Activity: Prove It in Simulation
  • Simulation-based validation
  • Engineering experimentation
  • Hypothesis testing
  • Circuit modification
  • Code modification
  • Observing results
  • Comparing expected vs actual behaviour
C Virtual Robotics Engineering Challenge Capstone Project (2–3 Hours)

Students design, program, test, and present a complete intelligent automation system using C++, Arduino programming, and TinkerCAD simulation.

Capstone Projects
  • Smart Greenhouse Controller
  • Intelligent Parking Assistant
  • Smart Elevator Simulator
  • Home Automation System
  • Environmental Monitoring Station
  • Smart Security Console
A Assessment & Portfolio Evaluation (3–4 Hours)
Final Deliverables
  • Working C++ program
  • Tinkercad circuit
  • Original problem description
  • AI-generated diagnostic suggestions
  • Investigation notes
  • Simulation evidence
  • Corrected C++/circuit
  • Before-and-after results
  • Explanation of the root cause
  • Explanation of whether the AI diagnosis was correct

Outcome

Students complete the program with practical experience in:

  • C++
  • Software Engineering
  • Object-Oriented Programming
  • Embedded Programming
  • Arduino
  • TinkerCAD
  • Virtual Robotics
  • Digital Electronics
  • Sensors
  • Automation
  • Servo Control
  • Engineering Algorithms
  • Problem Solving
  • Intelligent Systems
Future Pathways

Career Pathways

This course provides an excellent foundation for future pathways such as:

  • Robotics Engineer

    Design and program robotic systems.

  • Embedded Systems Developer

    Develop software that interacts directly with hardware.

  • C++ Software Engineer

    Build high-performance software systems.

  • Automation Engineer

    Design automated industrial and smart systems.

  • Mechatronics Engineer

    Combine mechanical, electronic and software engineering.

  • Electronics Engineer

    Work with electronic systems, sensors and controllers.

  • AI & Robotics Developer

    Combine intelligent software with robotic systems.

  • Game Engine Developer

    Work with high-performance C++ systems.

  • Computer Engineer

    Work across hardware and software systems.

  • Technical Entrepreneur

    Create technology products combining software and hardware.

THE ITSMYBOT ADVANTAGE

Why Parents Choose this Programs

Every child learns differently. That's why we combine exceptional educators, personalised guidance, and continuous progress tracking to create a learning experience parents can trust and children enjoy.

Engineering + Programming

Students understand both software and the systems it controls.

Hands-On Learning

Students build circuits, sensors and robotics systems through simulation.

Strong C++ Foundation

Students develop programming skills in a powerful engineering language.

Systems Thinking

Students learn how code, hardware, data and decisions interact.

AI-Ready Engineering

Students learn how Gemini and ChatGPT can assist with real engineering problem solving.

Critical Thinking Remains Central

AI suggestions must be tested and validated rather than blindly accepted.

Project-Based Portfolio

Students finish with C++ applications, automation systems and virtual robotics projects.

Flexible Scheduling Options

Flexible scheduling options including evenings and weekends.

Progress Reports & Parent Updates

Progress reports and regular parent updates after sessions.

testimonials

Trusted by Parents like You!

I was extremely happy with the teacher and her approach to my daughter, like a close family teacher.

By Canavady

My daughter, Rishika is thoroughly enjoying the learning experience at ItsMyBot. Ms. Poornima is teaching the program very well, at the right pace, making sure Rishika understands the concepts well. During the feedback session, she provided the details of Rishika’s strengths and areas of improvement giving me the confidence that she is well aware of how to guide her holistically. The daily class reports and feedback gives a clear understanding of the progress in each class. I also appreciate the excellent coordination, hassle free class scheduling and timely response to queries by Sandhya. I would definitely recommend ItsMyBot to my friends and family.

By rehana

Enrolling my son in classes in September has been a great decision. The trial class helped us identify his interests, and Ms. Jiya's engaging approach has made learning enjoyable. I appreciate her encouragement for my son to draw and write, recognizing it as a positive habit for his development. The flexibility of classes is a significant advantage, accommodating our unpredictable schedule. Ms. Jiya's understanding and willingness to reschedule when needed make the learning process enjoyable for both my son and us as parents. I'm grateful for the positive environment Ms. Jiya creates, and we look forward to more enjoyable learning experiences. Kudos to the iTSMYBOT team for their exceptional responsiveness and clear lesson reports, contributing to a smooth and enriching educational journey for our son.

By Dimple Jain

Rated 4.8 out of 5 based on 72 reviews on Trustpilot

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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.

🔓

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.

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

Simple start

How it works

3 Easy Steps to Get Started:

1

Book a free trial

Fill in the form. An academic counsellor will schedule a free session and assess your child's current level and interests.

2

Get a personalised roadmap

Based on the trial, counsellors build a custom learning path — right pace, right projects, right instructor for your child.

3

Build, learn, and earn

Live sessions, progress reports after every class, parent feedback calls, and a certificate on completion. Your child keeps all their projects.

🚀 Hurry! Reserve Your FREE Trial Class Seat Today

Ready To Program Your First Virtual Robot?

Write C++ code that controls LEDs, sensors and servo motors in Tinkercad, and finish with an intelligent automation system you can present.
Book a free trial class to meet your instructor and find the right starting point.

FAQs

Common Questions From Parents

Students move beyond traditional programming and discover what happens when code starts controlling the physical world. They learn C++ programming, Object-Oriented Programming, Arduino programming, electronic circuits, sensors, actuators, automation and robotics through Tinkercad virtual simulations. By the end, students will have built C++ applications, virtual Arduino systems, sensor-based automation projects and intelligent robotics simulations.

The course begins with C++ fundamentals, starting from writing a first C++ program. Tinkercad, Arduino and breadboards are introduced from scratch when the virtual robotics modules begin, so no electronics experience is needed. We confirm the right fit in the free trial.

C++ remains an important language for software where performance, efficiency and control matter. It is used across:

  • Robotics
  • Embedded systems
  • Smart devices
  • Industrial automation
  • Game engines
  • Autonomous technologies
  • Engineering software
  • High-performance applications

A traditional C++ course might teach variables, loops, functions, arrays and classes, with the output shown on a screen. This course asks a bigger question: what can you build with the code?

Students use C++ to:

  • Control LEDs
  • Read buttons
  • Process sensor values
  • Control motors
  • Detect obstacles
  • Create automated systems
  • Build virtual robots
  • Simulate engineering solutions

  • Software: Smart Calculator, Digital Logic Simulator, Smart Student Management System
  • Circuits and automation: Intelligent Traffic Control System, Quiz Buzzer Console, Automatic Night Lamp, Smart Temperature Monitor, Plant Care Assistant, Reaction Speed Tester
  • Robotics: Servo Controller, Parking Assistant System, Virtual Robot Brain, Smart Elevator Controller
  • Final project: in the Virtual Robotics Engineering Challenge, your child designs, programs, tests and presents a complete intelligent automation system, such as a Smart Greenhouse Controller, Home Automation System or Environmental Monitoring Station.

Students use Gemini and ChatGPT as multimodal engineering assistants to investigate problems with their C++ code, circuits and sensors. They don't ask AI to write the code. Instead, your child follows an engineering cycle: Observe → Diagnose → Test → Fix → Validate. AI suggests possible causes, and then your child tests the suggestion in Tinkercad. AI suggests, and engineering evidence decides.

AI can generate C++, suggest Arduino code, explain errors and even identify possible circuit problems. But students need to understand variables, logic, functions, memory, sensors, circuits, timing and state to judge whether an AI suggestion actually makes sense. The better your child understands the system, the better they can use AI.

C++, Object-Oriented Programming, Arduino, Tinkercad Circuits, sensors, digital electronics, embedded programming and robotics, plus Gemini and ChatGPT for AI-assisted problem solving.

It's 44–46 hours of live instruction plus a 3–4 hour assessment, across 11 modules and 49 lessons and sessions. It builds from C++ basics to virtual robotics and ends with a capstone project and a final assessment.

It's 44–46 hours of live instruction plus a 3–4 hour assessment, across 11 modules and 49 lessons and sessions. It builds from C++ basics to virtual robotics and ends with a capstone project and a final assessment.

Practical experience in C++, software engineering, Object-Oriented Programming, embedded programming, Arduino, Tinkercad, virtual robotics, sensors, automation and servo control. For the final Assessment & Portfolio Evaluation, your child submits:

  • A working C++ program and Tinkercad circuit
  • Investigation notes and simulation evidence
  • Before-and-after results
  • An explanation of the root cause, and of whether the AI diagnosis was correct

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.

Yes! Your child earns a Certificate of Completion along with a portfolio of C++ and virtual robotics projects.

This course provides an excellent foundation for future pathways such as:

  • Robotics Engineer
  • Embedded Systems Developer
  • C++ Software Engineer
  • Automation Engineer
  • Mechatronics Engineer
  • Electronics Engineer
  • AI & Robotics Developer
  • Game Engine Developer
  • Computer Engineer
  • Technical Entrepreneur

Yes. Book a free trial to meet the instructor and find the right starting point — no pressure.

The Engineer’s Journey

Don’t Just Write Code. Engineer Intelligent Systems.

Students begin with:

  1. “I can write C++.”
  2. “I can design software using objects and algorithms.”
  3. “I can control electronic circuits with code.”
  4. “I can read sensors and automate systems.”
  5. “I can program a virtual robot to make decisions.”

And finally:

“I can use code, engineering logic, simulation and AI-assisted problem solving to design and improve intelligent systems.”

Code the system. Simulate the solution. Challenge the diagnosis. Think like an engineer.

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Online coding, AI, and robotics classes that help kids ages 6–18 build real skills — and confidence — one project at a time.

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