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๐ŸŒAvailable Worldwide ยท Age 8โ€“16

Coding, Robotics
& AI โ€” 8 Courses

From visual block coding with Scratch through to building real machine learning models โ€” 8 individual 1:1 online courses students can join at any point. Available in Australia, UK, USA and worldwide.

Scratch & Visual CodingPhysical RoboticsArduino ElectronicsPython ProgrammingRaspberry Pi & IoTData Science & Machine Learning
All courses available worldwide โ€” no local curriculum required๐ŸŒWorldwide

Coding, Robotics & AI

Individual courses8 courses
Age rangeAge 8โ€“16
Per course20โ€“40 hours
Session length1 hour
Format1:1 only
Free trial1 per subject
Coding, Robotics & AI
Scratch & Visual Coding

Start Coding โ€” Age 8 to 10

Visual programming and physical robotics for younger students. No prior experience needed.

Coding with Scratch

Beginner

๐ŸŒAvailable worldwide: Fully software-based. Suitable for any student aged 8โ€“10 regardless of country or school system.

The world's most popular visual programming language for young learners. Students drag-and-drop code blocks to build games, animations and interactive stories โ€” learning the core logic of programming without syntax complexity.

Key Topics Covered:
  • Sequencing โ€” step-by-step instructions
  • Loops โ€” repeating actions efficiently
  • Conditionals โ€” if/else logic and decisions
  • Events and triggers โ€” responding to user input
  • Variables โ€” storing and using data
  • Debugging โ€” finding and fixing mistakes
  • Creative projects โ€” games, stories and animations

Learning Outcomes:Students build and publish their own Scratch projects, explain the logic behind their code and apply computational thinking to new problems independently.

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Code & Create with Codey Robot

Beginner

๐ŸŒAvailable worldwide: Codey Rocky robot kit required. Tutors use dual-camera to guide hardware setup in real time.

Students bridge screen-based coding and physical robotics by programming Codey Rocky โ€” a real robot with LED displays, sensors and voice recognition. Abstract code concepts become visible, tangible results.

Key Topics Covered:
  • Programming robot movement โ€” precise motor control
  • LED displays โ€” facial expressions and light patterns
  • Sensor inputs โ€” how robots perceive environments
  • Voice recognition โ€” responding to spoken commands
  • Object detection โ€” introduction to computer vision
  • Combining inputs and outputs โ€” systems thinking

Learning Outcomes:Students program Codey Rocky to respond to voice, navigate by sensor, display custom LED animations and explain how robots perceive and respond to the world.

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Robotics & Arduino

Build Real Robots โ€” Age 8 to 12

Physical robotics and electronics engineering. Students build autonomous vehicles and program real Arduino microcontrollers.

Automated Ground Vehicle

Developing

๐ŸŒAvailable worldwide: Robot kit required. Tutors use dual-camera to guide component assembly and wiring in real time.

Students assemble a complete autonomous vehicle from individual components โ€” motors, sensors, chassis and wheels โ€” then program it to navigate independently. Real engineering and real programming combined.

Key Topics Covered:
  • Chassis and wheel assembly โ€” structural engineering
  • Motor wiring and control โ€” DC motor fundamentals
  • Sensor integration โ€” ultrasonic, light and sound sensors
  • Fixed-path programming โ€” input/output systems
  • Line-following algorithms โ€” sensor-controlled navigation
  • Obstacle avoidance โ€” autonomous decision making

Learning Outcomes:Students build a fully functional autonomous vehicle, program it to follow lines and avoid obstacles, and explain how sensors, motors and code work as an integrated system.

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Simulate with Arduino

Developing

๐ŸŒAvailable worldwide: Fully browser-based simulation โ€” no hardware required for this course.

Before touching real electronics, students master circuit design and Arduino programming through professional simulation software. They build virtual circuits, test components and write text-based code โ€” making mistakes safely, learning deeply.

Key Topics Covered:
  • Electronics fundamentals โ€” voltage, current, resistance
  • Ohm's Law โ€” calculations and practical applications
  • Circuit components โ€” LEDs, resistors, capacitors, sensors
  • Arduino IDE โ€” text-based coding (not visual blocks)
  • Motors and actuators โ€” servo and DC simulation
  • Circuit debugging โ€” identifying and fixing faults

Learning Outcomes:Students design and test functional virtual circuits, write Arduino programs in text-based code and explain how each electronic component behaves under different conditions.

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Automate with Arduino

Developing

๐ŸŒAvailable worldwide: Arduino starter kit required. Tutors use dual-camera to guide breadboard assembly in real time.

Hands-on Arduino engineering with real breadboards, components and sensors. Students build circuits that work โ€” automatic plant waterers, temperature-controlled fans, motion alarms โ€” applying electronics and programming together.

Key Topics Covered:
  • Breadboard assembly โ€” physical circuit construction
  • Microcontroller fundamentals โ€” how Arduino processes I/O
  • Servo and DC motors โ€” controlling real-world movement
  • Environmental sensors โ€” temperature, humidity, motion
  • Project: automatic plant watering system
  • Project: burglar alarm with motion detection
  • Project: temperature-controlled fan

Learning Outcomes:Students build and program functioning automation systems using real Arduino hardware, explaining how microcontrollers read sensor inputs and produce outputs.

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Python & Raspberry Pi

Professional Programming โ€” Age 12 to 14

Python and physical computing. Students use the same tools as professional developers and engineers.

Python Programming

Intermediate

๐ŸŒAvailable worldwide: Fully browser-based using Jupyter notebooks โ€” no installation required.

Python is the world's most used programming language for AI, data science and automation. Students learn Python in Jupyter notebooks โ€” the same professional environment used by data scientists โ€” building real, career-relevant skills.

Key Topics Covered:
  • Python syntax โ€” clean, readable code from day one
  • Control structures โ€” if/else, while loops, for loops
  • Lists and data structures โ€” storing and manipulating data
  • Functions โ€” reusable, modular code
  • String manipulation โ€” working with text data
  • Debugging โ€” systematic error-finding and exception handling
  • Jupyter notebooks โ€” code, documentation and output combined

Learning Outcomes:Students write Python programs independently in Jupyter notebooks, applying loops, conditionals, functions and data structures to solve real computational problems.

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Raspberry Pi & IoT

Intermediate

๐ŸŒAvailable worldwide: Raspberry Pi kit required. Tutors use dual-camera to guide GPIO wiring in real time.

Raspberry Pi is a credit-card-sized computer running Linux โ€” powerful enough for real IoT and robotics projects. Students apply Python to control physical hardware, read sensors and run autonomous programmes.

Key Topics Covered:
  • Linux fundamentals โ€” operating system basics and command line
  • GPIO pins โ€” controlling LEDs, reading buttons, PWM signals
  • Sensor integration โ€” temperature, distance and light sensors
  • Camera module โ€” capturing images and basic computer vision
  • Headless operation โ€” running programmes autonomously
  • Remote access โ€” SSH and VNC
  • IoT project: remote sensor monitoring system

Learning Outcomes:Students build and deploy a Raspberry Pi IoT project, write Python programs that interact with physical hardware and explain how single-board computers connect software to the real world.

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Data Science & Machine Learning

Build Real AI โ€” Age 14 to 16

The complete data science and machine learning workflow โ€” from data analysis to training and deploying real ML models.

Data Science & Machine Learning with Python

Advanced

๐ŸŒAvailable worldwide: Python Programming experience required. All tools browser-based โ€” no installation needed.

A comprehensive two-part course: Part 1 masters NumPy, Pandas and data visualisation โ€” the essential tools for working with data. Part 2 implements real machine learning models using Scikit-learn. The complete data science and AI workflow in one course.

Key Topics Covered:
  • NumPy โ€” arrays, matrix operations, vectorised computation
  • Pandas โ€” loading, cleaning and analysing real datasets
  • Matplotlib & Seaborn โ€” 2D and 3D data visualisation
  • Supervised learning โ€” classification and regression models
  • Ensemble methods โ€” random forests and gradient boosting
  • Search algorithms โ€” A* pathfinding and optimisation
  • Model evaluation โ€” accuracy, precision, recall, confusion matrices

Learning Outcomes:Students load, clean and visualise real datasets using NumPy and Pandas, then train, evaluate and interpret machine learning models using Scikit-learn โ€” completing the full data science and AI workflow.

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Why Smavy Coding

What Makes Our Coding, Robotics & AI Tutoring Different

Dual Camera Classroom

Dual Camera Classroom

Our tutors see both the student's face and their physical workbench simultaneously. For robotics and electronics, tutors catch wiring errors and guide component placement in real time โ€” exactly like an in-person session.

Real Hardware, Real Skills

Real Hardware, Real Skills

Every robotics and electronics course uses real components โ€” not simulated robots pretending to be physical. Students build skills directly applicable to school science, university engineering and technology careers.

Industry-Standard Tools

Industry-Standard Tools

Jupyter notebooks, Arduino IDE, Linux command line, Scikit-learn โ€” the exact tools used by professional developers and AI engineers. Students arrive at university with years of practice behind them.

Parent Reviews

What Parents Say About Our Coding & Robotics Tutors

Python ยท Age 13 ยท AU

โ€œMy son built his first real Python programme after 8 sessions. Now he's halfway through the Data Science & ML course and genuinely passionate about AI.โ€

Raj K.Parent ยท Sydney, AU
Arduino ยท Age 11 ยท UK

โ€œThe dual camera was what made the difference. The tutor could see my daughter's breadboard and spotted a wiring mistake immediately. Her alarm system worked first try.โ€

Sarah B.Parent ยท Bristol, UK
Scratch ยท Age 9 ยท USA

โ€œMy daughter was nervous about coding. Within 3 sessions she was building her own Scratch games and showing them to her friends. The 1:1 format made all the difference.โ€

Linda M.Parent ยท Chicago, USA
FAQs

Common Questions About Coding, Robotics & AI

No โ€” each course is self-contained. Students with prior experience can join at any point. Our tutors assess the right starting course in the free trial session.

Yes โ€” Codey Rocky, the Automated Ground Vehicle kit, Arduino starter kits and Raspberry Pi require hardware. Our tutors provide a shopping guide before each course. Scratch, Simulate with Arduino, Python, and Data Science & ML are fully software-based.

Students set up two cameras โ€” one facing them and one positioned above their workbench. The tutor sees both views simultaneously, guiding component placement and wiring in real time.

Yes โ€” all courses are curriculum-independent and available worldwide. Students in Singapore, UAE, India, New Zealand, Canada and everywhere else can enrol.

Start Coding, Robotics & AI Free Trial Per Subject.

Book a free 1-hour introductory session. Our tutor will recommend the right starting course and get your child coding in session one.