The AI Playroom | AI Education for Kids in Singapore
Complete Curriculum Guide

Tech Tinkerers Curriculum

An advanced, hands-on learning program where students design and build intelligent physical systems, blending electronics, coding, and real AI tools through robotics, sensors, and embedded intelligence.

11-16
Age Range
8
Levels
10-12
Weeks/Level
32
Topics
Progressive Learning
Hands-on Projects
Expert Instruction

Learning Outcomes

  • Connect sensors and actuators to microcontrollers for responsive systems
  • Train and embed AI models into physical devices for gesture, voice, or image control
  • Use AI to plan, document, and test real-world prototypes
  • Design human-centred systems with accessibility and fairness in mind
  • Prototype, troubleshoot, and iterate like an engineer
  • Build and present AI-powered devices that solve everyday problems

Our AI Approach

Beyond embedded models, learners apply Everyday AI Skills to plan, document, and test hardware projects. We prioritise human‑supervised operation, privacy‑preserving (often on‑device) inference, energy‑aware design, and safety checklists. AI supports the engineering process while students own the decisions and safeguards.

Learning Journey

8
Total Levels
1-3

Foundation Building

Master core concepts, basic logic, and fundamental programming principles

4-6

Skill Development

Apply knowledge to complex projects, explore AI concepts, and build interactive systems

7-8

Advanced Application

Create sophisticated projects, understand ethics, and showcase mastery through capstone work

Who This Program Is For

Tech Tinkerers is ideal for learners who have completed Code Explorers or AI Creators and want a physical world challenge, are comfortable with logic, sensors, and basic coding, and enjoy building things that move, respond, and solve real problems. Some students join directly at Level 1 with foundational support.

Program Completion Outcomes

By the end of Tech Tinkerers, students will understand how intelligent systems are built, wired, and coded; train AI models and integrate them into physical devices; debug, document, and improve their own creations; and present working prototypes that solve real-world problems.

Complete 8-Level Curriculum

Each level builds upon the previous one, creating a comprehensive learning journey that develops both technical skills and creative thinking. Students progress at their own pace while mastering essential concepts.

1

Smart Inputs and Reactive Systems

Sensors, basic electronics, input/output logic
12-16 weeks

Students learn to connect sensors to microcontrollers and create systems that react to environmental inputs with lights, sounds, and motors.

Sample Project Outcome

A light-sensitive alarm system that beeps and flashes when darkness is detected.

Core Topics (4)

Learning Outcomes
  • Design AI-powered reminders for daily routines
  • Program AI to trigger safety alerts based on input
  • Adjust AI settings for user preferences and safety needs
Learning Outcomes
  • Connect and calibrate various sensors
  • Read sensor data in code
  • Understand analog vs digital sensors
Learning Outcomes
  • Create basic electronic circuits
  • Wire sensors to output devices
  • Understand electrical safety principles

Skills Developed in This Level

Home Routines & Safety Alerts
Using Sensors (Light, Touch, Motion)
Wiring Inputs to Trigger Outputs
Programming Sensor-based Reactions
2

Building Behavior with Code

Loops, conditionals, variables, response control
12-16 weeks

Students create more complex behaviors using programming concepts like loops, conditionals, and variables to control system responses.

Sample Project Outcome

A fan that activates only when it's hot and dark, then resets after a delay.

Core Topics (4)

Learning Outcomes
  • Use AI to monitor and respond to environmental data
  • Automate devices for efficient energy consumption
  • Assess the energy savings from AI-driven automation
Learning Outcomes
  • Implement various loop structures
  • Create timed sequences
  • Manage multiple concurrent processes
Learning Outcomes
  • Write complex conditional statements
  • Create multi-factor decision systems
  • Handle edge cases in logic

Skills Developed in This Level

Energy-Saving Automations
Looping Logic and Timed Actions
Multi-condition If/Else Behavior
Using Variables for System States
3

Embedded AI – Training Models for Physical Action

Real-time AI classification and decision-making
12-16 weeks

Students learn to train AI models and embed them into physical systems that can recognize gestures, sounds, or images and respond with physical actions.

Sample Project Outcome

A desk assistant that turns on a lamp when you wave and plays music when you smile.

Core Topics (4)

Learning Outcomes
  • Configure AI to process gestures and voice input
  • Link AI commands to physical device responses
  • Troubleshoot misrecognition issues in AI input
Learning Outcomes
  • Train custom AI models for physical systems
  • Optimize models for real-time use
  • Handle model uncertainty in physical systems
Learning Outcomes
  • Map AI predictions to physical responses
  • Create smooth AI-driven movements
  • Handle prediction delays and errors

Skills Developed in This Level

On-Device Voice & Gesture Commands
Using Teachable Machine for Physical Input
Connecting AI Outputs to Physical Actions
Mapping Classifications to Multiple Responses
4

Multi-Sensor Projects and Feedback Loops

Systems with layered logic and state memory
12-16 weeks

Students create sophisticated systems that combine multiple sensors and use feedback loops to create adaptive, intelligent behaviors.

Sample Project Outcome

A plant monitor that detects dryness and low light and triggers a reminder buzzer—with a cool-down timer.

Core Topics (4)

Learning Outcomes
  • Program AI to issue health and wellbeing reminders
  • Customise AI alerts for timing and content
  • Evaluate the effectiveness of wellbeing prompts
Learning Outcomes
  • Integrate multiple sensor types
  • Create sensor fusion systems
  • Handle conflicting sensor data
Learning Outcomes
  • Implement system memory
  • Create learning-like behaviors
  • Design adaptive responses

Skills Developed in This Level

Wellbeing Timers & Alerts
Combining Multiple Inputs
Building Memory into Systems
Systems that Change Over Time
5

Autonomous Robotics with AI Control

Integrating robotics and AI prediction for mobile action
12-16 weeks

Students build autonomous robots that use AI to navigate, make decisions, and interact with their environment intelligently.

Sample Project Outcome

A robot that follows your hand using vision input, then parks itself when it sees a red stop signal.

Core Topics (4)

Learning Outcomes
  • Build AI systems for basic navigation tasks
  • Test navigation systems in varied real-life scenarios
  • Implement safety measures for AI navigation systems
Learning Outcomes
  • Program precise motor movements
  • Create coordinated multi-motor systems
  • Implement movement algorithms
Learning Outcomes
  • Implement obstacle avoidance
  • Use AI for navigation decisions
  • Create safe autonomous movement

Skills Developed in This Level

AI-Controlled Navigation in Daily Life
Motor Control for Movement
Obstacle Detection + AI Decisions
Navigation Logic with Camera Feeds
6

Design for People – Human-Centered AI Systems

Interaction design, usability, ethical systems
12-16 weeks

Students learn to design AI systems with people in mind, considering usability, accessibility, and ethical implications of their creations.

Sample Project Outcome

A talking assistant that announces room temperature and light levels using speech output and sensor data.

Core Topics (4)

Learning Outcomes
  • Design AI features to support accessibility needs
  • Test AI accessibility tools with different users
  • Refine tools based on user feedback
Learning Outcomes
  • Understand user-centered design principles
  • Create accessible AI systems
  • Design for diverse user needs
Learning Outcomes
  • Conduct user testing
  • Gather and analyze feedback
  • Iterate based on user needs

Skills Developed in This Level

Accessibility Features with AI
Designing Systems for Others
Evaluating User Experience and Feedback
AI Fairness and Accessibility
7

Prototyping & Real-World Engineering

Design iteration, documentation, resilience
12-16 weeks

Students learn professional engineering practices, creating robust, well-documented systems that can handle real-world conditions.

Sample Project Outcome

A weather warning system that reads outdoor light and humidity, explains its decision on-screen, and logs data to memory.

Core Topics (4)

Learning Outcomes
  • Generate clear instructions and guides with AI
  • Use AI to create diagrams and visual aids
  • Revise AI-generated documentation for accuracy
Learning Outcomes
  • Design robust electronic circuits
  • Implement proper wiring practices
  • Create maintainable systems
Learning Outcomes
  • Create comprehensive project plans
  • Document system designs
  • Use engineering design processes

Skills Developed in This Level

Documentation & Guides with AI
Building Stronger, Cleaner Circuits
Project Planning with Design Sketches
Troubleshooting and Resilience Building
8

Final Capstone – Invent and Present

Independent design challenge using AI + hardware
12-16 weeks

Students design, build, and present their own intelligent device that solves a real-world problem, demonstrating mastery of AI, electronics, and engineering principles.

Sample Project Outcome

A fully functional intelligent device—like an AI-powered sorting bin, a smart security lamp, or an interactive game board—that students present and demo at a final showcase.

Core Topics (4)

Learning Outcomes
  • Identify real-world problems suitable for AI solutions
  • Develop and test AI-based prototypes
  • Present AI solutions effectively to an audience
Learning Outcomes
  • Identify meaningful problems to solve
  • Generate creative solution ideas
  • Evaluate solution feasibility
Learning Outcomes
  • Select appropriate sensors and actuators
  • Choose suitable AI approaches
  • Design system architectures

Skills Developed in This Level

Showcasing AI for Everyday Problems
Ideation and Brainstorming for Real Problems
Choosing Sensors, AI Logic, and Outputs
Building and Presenting Systems

Ready to Start Your Child's AI Journey?

Join Tech Tinkerers and give your child the skills they need for the future. Our expert instructors and proven curriculum make learning AI fun, accessible, and impactful.

Expert Instructors
Small Class Sizes
Proven Curriculum
Real Projects