In PIONEERLAB, you code games, wire up sensors, prototype gadgets, and try AI the right way. Learn the fundamentals, ship projects, and build a portfolio that actually says “I make things.”
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Designed for curious teens ready to move beyond the basics. In this lab, students don’t just learn tools; they learn to think, design, and build like real innovators. Through text-based coding, robotics, engineering, AI, and digital design, they gain the skills to create the technologies shaping our future, from smart devices to video games, 3D worlds, and AI applications.needed in an AI-powered world.​
How PIONEERLAB Works?
PIONEERLAB - 3 - 5 YEAR PROGRAM
YEARS
Year 1 (Foundations in Innovation – Text-Based Entry Point)
Mandatory entry point for all students.
Goal: Develop the core coding fluency and computer science fundamentals that unlock advanced streams in AI, Game Development, VR, and Maker Engineering.
Focus on fundamentals and key computer science topics: variables, functions, data structures, algorithms, debugging, and problem decomposition.
Projects introduce connections to real-world applications (simulations, logic-driven games, data visualizations).
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Years 2–4: Specialization Pathways
Once the foundations are strong, students branch into specialized streams (Lasting 2 - 3 years) that match real-world industries:
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AI Stream:
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Foundations in math for AI (linear algebra, probability, logic).
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Pathways in ML, Deep Learning, Reinforcement Learning, LLMs.
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Build AI-driven apps, models, and intelligent systems.
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Game Development (2D → 3D:)
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Java, Unity, Blender, ETC. moving from mechanics to publishing.
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From 2D constructs to 3D environments.
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Asset Development, game mechanics, publishing pipelines.
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Capstones: playable games with original mechanics/assets.
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3D Animation & Digital Arts Stream
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Blender + Maya pipelines.
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Rigging, texturing, animating characters and worlds.
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Focus on storytelling through animation.
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Virtual Reality & Applications Stream
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Develop VR worlds for games, training, education, and storytelling.
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Explore AR/VR design principles and human-computer interaction.
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Capstones: VR/AR experiences and prototypes.
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Advanced circuits, Arduino, robotics, and physical computing
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Integration of electronics with product design.
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3D printing, enclosures, and functional gadgets.
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Capstones: prototypes bridging hardware + software.
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PIONEERLAB CORE STRANDS
Class Format
30 weeks, 1 session/week, 90 minutes each. Small class (max 8)
Foundational + Specialized tracks with each age track + Year-end STEM FESTIVAL
Core strands - Spiralled & Specialized
Computational Skills
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Mini-Math & Data Literacy
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Logic, Loops & Debug
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Robotics & Physical Computing
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Engineering & Systems Design
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Circuits, Makers & Digital Prototyping
Padagogical Pillar
Advanced Computational Thinking: functions, arrays, and structured problem-solving.
Design & Systems Thinking: planning, testing, and integrating software, hardware, and design.
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Iteration & Precision: learning how professional developers test and refine.
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Collaboration & Leadership: taking on roles in team projects and presenting to real audiences.
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Future-Ready Mindset: seeing themselves as innovators, not just learners.
CAPSTONE PROJECT YEAR-END STEM FESTIVAL​​
Every year concludes with a Capstone EXPO where students integrate multiple strands into ambitious projects that feel close to “real-world.”
COMPUTATIONAL & MATH SKILLS
Students apply algebra and coordinate geometry, then extend to vectors/matrices (for transformations), probability & statistics (chance, averages, spread), and simple optimization (tuning a variable to improve a result). These ideas underpin data handling and model behavior in AI.
Skills Kids Gain
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Arrays/lists and function design
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2D/3D coordinates & transforms
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Algorithmic thinking and stepwise problem-solving
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Readiness for text-based programming concepts
LOGIC, LOOPS & DEBUG
Students master Object oriented Programming, nested logic, state, and loops, then compare rule-based programs to data-driven behaviours. They learn to test hypotheses, log results, and evaluate outputs instead of guessing.
LEGO® SPIKE Robotics
With SPIKE Prime, micro:bit, and Arduino, students integrate multiple sensors and actuators. They treat readings as data, apply thresholds/filters, and design feedback loops—concepts that mirror how intelligent systems perceive and react.
ENGINEERING & SYSTEMS DESIGN
Students plan and build stable mechanisms, then integrate code and electronics into one system. They use control thinking, prototype in increments, and record performance to guide improvements, like small-scale “experiments.”
CIRCUITS MAKERS & DIGITAL PROTOTYPING
Skills kids Learn
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Writing nested conditionals and managing state
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Systematic debugging with test cases & traces
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Keeping simple logs/metrics to judge correctness
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Explaining why a result is reliable (or not)
Skills Kids Learn
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Multi-sensor integration and threshold logic
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Precision motor control & reliability testing
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Basic filtering/smoothing of noisy sensor data
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Designing simple feedback behaviors (sense → adjust)
Skills Kids Learn
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Systems diagrams and integration plans
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Strength, stability, and efficiency in builds
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Test, measure, iterate workflows
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Using performance data to choose the next change
Skills Kids Learn
From micro:bit wearables to Arduino devices, students map inputs, decisions, outputs and design enclosures in Tinkercad/Blender. They observe how data flows through circuits and software, much like AI pipelines that move from data to action.
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Building input/output circuits for real devices
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Coding decision logic tied to sensors/actuators
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3D modeling for functional enclosures/parts
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Explaining a data-to-decision-to-action flow
MINI-MATH AND DATA LITERACY
We teach just enough math to make AI concepts concrete: vectors/matrices for movement and meaning, probability & statistics for uncertainty, regression for prediction, and simple “reduce the error” thinking, and more always through hands-on games, robots, and real data.
Skills Kids Gain
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Vector/matrix intuition for transforms & alignment
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Collecting/plotting data; averages, variance
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Drawing/using a best-fit line (regression)
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“Measure, adjust, improve” optimization habits
Outcomes & portfolio
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Confidence with real tools: Your teen writes text-based code, works with robots and circuits, and explains their thinking like a young developer.
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Advanced problem-solving: They plan, test, and measure results, using simple metrics (accuracy/error) and “improve by iteration” habits that mirror real engineering.
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AI-aware foundations: Practical mini-math (vectors, probability, regression) helps them reason about data, tune projects, and understand how modern AI systems improve.
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Ownership & leadership: They take roles on team builds, communicate decisions clearly, and present work with evidence at EXPOs.
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A meaningful portfolio & next steps: By program's end, they’ve shipped projects they’re proud of and are ready to choose a specialization (AI/ML, Game Dev/VR, 3D, or Maker Engineering).
What Students Build First Year
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A logic-driven game with custom mechanics using object Oriented Programming (text-based)
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A sensor-aware robot challenge (multi-sensor behaviour)
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A circuits maker project or
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A digital AI prototype with a simple prediction (best-fit line)
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A short demo where they explain their testing and results
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PRICING and PAYMENT OPTIONS
Option to BOOK the YEAR (staggered payments) or Try us for a term and opt for a pro-rated price for the remaining terms in the year.
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Tuition: $1,450 + HST for 30 weeks (75 - 90 minutes/ week, minutes, max 8, Teacher student ratio of 1:4)
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Payment options:
• Pay-in-full: SAVE A $100 ($1,350 + HST.
• Installments: $1,450 + HST - 40% at enrolment ($580 +HST), then 3 $290.00 +HST. -
Refund policy: 7-day pre-start cancellation (–$50 admin); Post Week 1, no refunds).
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2 make-up classes per term.