Duration
4 Days
Program DetailOpen age group
Future Maker AI Camp
AI Robotics / Future Manufacturing Camp
A project-based camp for young makers that connects AI, robotics, intelligent agents and 3D printing into one complete creation journey.
AI prototype
Robotics challenge
AI assistant
3D printed object
Project-Based CampAI + RoboticsPhysical OutputFuture Maker Skills
Program Snapshot
Key Details Up Front
Key decision details are placed up front for parents. Unconfirmed items remain clearly marked as To be confirmed or TODO.
Age Group
Open age group
Language
English-first, with bilingual Chinese/English support available.
Format
Project-Based Camp
Group Size
To be confirmed
TODO
Final Outcome
AI prototype + robot task + 3D printed object
Required Device
To be confirmed
Laptop policy TODO
Certificate
Students receive an INNOBOTIX Certificate of Completion for participation and final project presentation. High-performing students may be considered for a recommendation letter.
Location
Australia
Specific venue TODO
Next Intake
To be confirmed
Dates TODO
Learning Path
Understand Intelligence → Drive Systems → Build Agents → Make Physical Outputs
The core of the camp is not isolated AI tool use. It is a complete pathway from idea to working prototype and tangible outcome.
Step 1
Understand Intelligence
Explore LLMs, prompting, AI workflows and the boundaries of real-world AI applications.
Step 2
Drive Systems
Connect sensors, mechanical structures and control logic to complete robotics tasks.
Step 3
Build Intelligent Agents
Create an AI assistant through voice interaction, dialogue logic and command control.
Step 4
Make Physical Outputs
Use modelling, structural iteration and 3D printing to produce a tangible prototype.
Detailed Daily Schedule
What Students Learn, Build and Take Away Each Day
This section is written for parents, schools and partners who want a clear view of the day-by-day learning experience.
Day 1
AI Foundations
Morning
LLMs, prompting, generative AI, automation workflows and real-world applications across education, healthcare, marine and creative industries.
Afternoon
From need to prototype: choose a problem, define a user scenario, break down key functions and shape a team project concept.
Key Topics
LLM basicsPromptingGenerative AIAutomationUse cases
Hands-on Activity
Teams create an AI project concept and an early prototype sketch.
Student Outcome
AI project brief: problem, user, scenario and functional direction.
Day 2
Robotics & Automation
Morning
Robot system breakdown: mechanical structures, sensors, control logic, inputs, outputs and task planning.
Afternoon
Robot mission challenge: debugging, collaboration, iteration and demonstration through an observable task.
Key Topics
Mechanical systemsSensorsControl logicTask planningDebugging
Hands-on Activity
Teams complete a robot mission challenge and document the debugging process.
Student Outcome
Robotics challenge result: a demonstrable mission outcome.
Day 3
AI Agent Prototyping
Morning
AI hardware, model integration, voice interaction, dialogue systems, command control and sensor-linked workflows.
Afternoon
Assembly, debugging, model connection and voice or command control for an AI assistant prototype.
Key Topics
AI hardwareVoice interactionAgent logicCommand controlPrototype testing
Hands-on Activity
Build an AI assistant prototype that can respond to or execute commands.
Student Outcome
Interactive AI assistant demo: responsive, demonstrable and ready to explain.
Day 4
Future Manufacturing & 3D Printing
Morning
3D printing principles, materials, structures, modelling constraints, printability and safe operation.
Afternoon
Modelling, structural iteration, print preparation, physical showcase and final project communication.
Key Topics
3D modellingMaterialsPrintabilityIterationPresentation
Hands-on Activity
Refine and print a project-related physical part or concept module.
Student Outcome
3D printed prototype + final presentation.
What Students Will Build
Demonstrable Outputs, Not Just Concepts
AI Project Concept
A clearly defined AI project idea with a problem, user scenario and functional direction.
Robotics Challenge Result
A demonstrable robot mission outcome with hands-on debugging experience.
Interactive AI Assistant
An agent prototype that can respond to users or execute simple commands.
3D Printed Prototype
A physical object shaped through modelling, iteration and print preparation.
Final Presentation
A concise project presentation for peers, parents or education partners.
Skills Developed
A Blend of AI, Engineering, Product Thinking and Maker Skills
AI Literacy
LLM
Prompting
AI workflow
AI application boundaries
Engineering Thinking
Mechanical systems
Sensors
Control logic
Debugging
Product Thinking
Problem definition
Prototype design
User scenarios
Presentation
Maker Skills
3D modelling
Printability
Iteration
Physical output
Parent Value
Why the Program Is Worth Considering
Students do not only learn tools. They practise a creation pathway from idea to output.
Students do not only listen. They keep building, testing and presenting across four days.
The experience does not stay on a screen. It includes robot missions and a physical printed outcome.
The focus is capability, project communication and realistic exposure to future technologies.
Example Student Project Ideas
Possible Project Directions
These are prompts, not fixed templates. The final project can be adjusted according to student interests, readiness and available equipment.
AI learning assistant
Voice-controlled helper
Environment-aware robot
Campus guide AI agent
Social-impact problem solver
3D printed future city module
FAQ
Program Detail FAQ
Is the program beginner-friendly?
Yes. Current age guidance is: Open age group. The program begins with concepts, tools and guided tasks, so students do not need complete prior experience in coding or robotics.
Can students really finish a project in four days?
The four-day format is designed around a realistic project pathway: AI concept, robotics challenge, AI assistant prototype and 3D printed physical output. Final complexity will depend on student readiness and equipment conditions.
Do students need to bring their own computer or device?
The required device policy is still to be confirmed. The live enrolment page should clearly state laptop requirements, software setup and any account needs.
What language is used in class?
English-first, with bilingual Chinese/English support available.
Is a certificate provided?
Students receive an INNOBOTIX Certificate of Completion for participation and final project presentation. High-performing students may be considered for a recommendation letter. The website does not claim any unconfirmed official accreditation, university partnership or academic admission outcome.
Are robotics and 3D printing activities safe?
Final venue, equipment and operating procedures must be confirmed before the camp runs. Activities are positioned as supervised, small-group, guided learning experiences.
Can this be adapted for schools or study tours?
Yes. The program can serve as a base for STEM enrichment, holiday camps, international study tours or school workshops, with content adjusted by duration, age and learning goals.
How can families request the program outline?
The MVP currently uses the contact page for enquiries. A PDF download, confirmed dates, pricing, places and enrolment workflow can be added next.
Ready to explore the program?
Request the Program Outline or Ask About the Next Intake
A formal PDF, confirmed dates, pricing, venue, places and enrolment workflow can be added in the next phase. This page currently serves as a shareable program detail MVP.