Description
AIP: Artificial Intelligence & Ethical Engineering
Empower your child to become an AI creator, not just a consumer. Our progressive 4-year pathway guides students (Ages 9–14) from machine learning fundamentals to ethical AI design and physical robotics integration.
Program Specifications
Lab Format
1-hour weekly in-person lab combining algorithms, hardware, and ethical AI design.
Target Ages
Capital District kids ages 9–14, scaffolded across 4 progressive skill tiers.
Strict 8:1 Ratio
Capped at 8 students per lab to guarantee personal, expert AI coaching and project oversight.
Semester Term
12-week semester: 11 guided AI labs plus 1 dedicated Innovation & Makeup Lab Week.
Why AI Literacy Matters
Preparing responsible creators for an automated world.
Digital Safety & Data Privacy
Understanding data pipelines, training corpora, and how to protect personal data rights in an AI ecosystem.
Ethics & Algorithmic Bias
Evaluating AI alignment, algorithmic bias, model fairness, and designing "AI for Good" solutions for society.
Future-Proof Engineering
Transitioning from block tools to Python scripting, computer vision (OpenCV), neural networks, and physical agents.
The 4-Year AIP Roadmap
Select a program year to explore core technologies, topics, and featured portfolio projects.
Build a Complete STEAM Ecosystem
Combine core analytical enrichment with specialized robotics, cutting-edge AI mastery, and open studio time.
SEP | STEM Enrichment Program
Ages 6–14+The cornerstone of creative problem solving and analytical thinking. Students integrate Science, Technology, Engineering, Art, and Math (STEAM) to explore fundamental principles, cultivate intellectual curiosity, and learn how to solve hard problems with confidence.
REP | Robotics Enrichment Program
Ages 6–14Hands-on mechanical engineering and applied robotics. Students master physical mechanisms, gear ratios, sensor integration, and autonomous programming as they build functional robotic systems to conquer complex engineering challenges.
AIP | Artificial Intelligence Program
Ages 9–14Empower your child to become an AI creator, not just a consumer. A comprehensive journey from machine learning fundamentals to ethical AI design. Students build and train real AI models using cutting-edge hardware and real-world data sets.
Project Studio | Tech Club
Wednesdays 4:00 PM – 6:15 PM | Ages 8–14Exclusive to enrolled STEAMwhiz students! A flexible 2.25-hour open lab where kids convert lab concepts into passion projects. A high-value, "come and go as you please" space to collaborate, experiment with lab technology, and build original innovations.
The STEAMwhiz Core Framework
We don't just teach tools—we train the "Academic Athlete."
Mental Toughness & "Hard Fun"
Passive consumption (TikTok, video games) breeds cognitive brittleness. We replace cheap dopamine with the deep dopamine of solving hard problems. In our lab, failure isn't a dead end—it's data gathering during a "Locker Room Moment."
Portfolios Over Standardized Tests
The 2035 Innovation Economy doesn't reward rote memorization. Our students build tangible Portfolios of Work—3D CAD files, compiled code bases, and functional hardware prototypes that prove real-world capability.
Led by Master Coaches
Academic Athlete Leadership
Our labs are directed by Co-Founder Allie Pulecio, a master educator with over 20 years of STEM curriculum experience. Curriculum architecture is spearheaded by Co-Founder Dr. Javier F. Pulecio (Dr. J), who holds a Ph.D. in Engineering Sciences and brings years of experience as a physicist and engineer at premier research institutions and Fortune 100 technology companies. Together, they eliminate cognitive brittleness and mentor students toward lifelong analytical mastery.
Frequently Asked Questions
AIP I is specifically engineered for students with zero prior coding or AI experience. We scaffold learning from physical LEGO robotics and block logic up through Python scripting, computer vision, and neural network engineering.
Students deploy real hardware platforms: LEGO Robotics with AI vision lenses in Year 1, Raspberry Pi & Python autonomous drones in Year 2, breadboard sensor arrays in Year 3, and articulated Robotic Arm Cars driven by OpenCV camera tracking in Year 4.
Ethical design is woven into every tier. Students study data provenance, privacy rights, training bias, prompt engineering safety, and end their capstone year by authoring a formal "Safety and Alignment Protocol" for their autonomous robots.
Every 12-week semester includes a designated Innovation Lab Week. Students who missed a lab session utilize this time to complete their projects. Students with full attendance use it as a bonus lab to push their portfolio projects further under instructor guidance.
Full refunds are available for unstarted future semesters provided written notice is submitted at least two weeks prior to the start date. Because materials and strict 8:1 instructor staffing are locked in advance, active in-progress semesters are non-refundable. Read the complete policy here.
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