Ustar AI Advanced Course
AI for Kids in San Jose | Build Real Intelligence, Not Just Coding

This course helps students to understand Artificial Intelligence (AI) and Machine Learning in a
simple and practical way. Students will learn by doing small projects using easy tools and Micro:bit.

In this course, students will see how AI is used in daily life like image recognition, voice control,language translation, and simple smart systems. The main focus is learning by doing, not only reading theory.

Students will also learn how machines learn from data, how AI makes decisions, and how simple AI models are trained and tested. By working on hands-on activities, students will build confidence in using AI tools and basic programming concepts.

Who Should Join?

This program is designed for:

  • Students (Ages:10+)seeking a high-intensity, hands-on STEM challenge.
  • Students preparing for competitions, research projects, or future STEM applications
  • Makers who want to build real intelligent robotic systems

Why AI Learning Matters
(Beyond Coding)

Most coding classes teach syntax.
AI teaches how systems think.

Students learn:

  • How machines learn from data
  • How decisions are made
  • How bias affects outcomes
  • How to design intelligent behavior

👉 These are core cognitive skills for future fields like AI, robotics, data science, and engineering.

What Your Child Will Develop

  • Logical reasoning & structured thinking
  • Data understanding & model thinking
  • Problem decomposition & debugging
  • Systems thinking (input → process → output)
  • Confidence through building real projects
  • Early exposure to AI ethics (bias & fairness)

👉 Not just “learning AI”—thinking like an engineer

Course Overview

🔹 Module 1: Introduction to AI
What is AI & where it’s used (vision, voice, translation)
What is Machine Learning

Hands-on

Image recognition with Google Teachable Machine
Train models with biased vs unbiased data

Outcome
👉 Understand how AI “sees” and learns

🔹 Module 2: Machine Learning & Data
What is training data
Supervised vs Unsupervised learning

Hands-on

Build your own dataset
Train models with BBC Micro:bit
Motion-based step counter

Outcome
👉 Understand how data shapes AI behavior

🔹 Module 3: Advanced Concepts
Neural Networks (conceptual)
Natural Language Processing

Hands-on

Pose detection
Language translation demo

Outcome
👉 See how modern AI systems work

🔹 Module 4: AI Applications
Game AI & decision systems
Reinforcement Learning (reward-based learning)

Hands-on

Build a Micro:bit game
Maze Runner (reward learning)

Outcome
👉 Apply AI to real decision-making systems

🔹 Module 5: Final Project
AI Voice Recognizer
Student-designed AI project (AI Adventure)

Outcome
👉 Students complete a working AI system they built

What Students Will Build

AI Image Recognition Model
Custom Dataset + Trained Model
Motion-based AI Step Counter
AI-powered Game System
AI Voice Recognition Project

👉 Every student leaves with portfolio-ready projects with Microbit

Why USTAR STEM Lab

  • Small group instruction (max 8)
  • Project-based learning (not lecture-based)
  • Structured STEM pathway (not random classes)
  • Silicon Valley–level enrichment focus
  • Focus on thinking skills, not just tools

FAQ

  • Q1: Does my child need coding experience?
    No. The course is designed for beginners with guided progression.

    Q2: Is this too advanced?
    Concepts are simplified and taught through hands-on projects.

    Q3: What will my child actually achieve?
    A working AI project and foundational understanding of machine learning.

    Q4: How is this different from coding classes?
    Coding = instructions.
    AI = learning + decision-making systems.

Not sure if your child is ready for AI?

Get AI Pathway Recommendation

Team Mentors

Coach Hardeep

STEM/Robotics Teacher

A highly experienced STEMeducator with a background in mechanical design and programming, specializing in robotics, coding, and engineering design for K–12 students.Skilled in professional tools such as Onshape, Fusion 360, and SolidWorks, and is well known for mentoring students in robotics competitions—helping them turn ideas into real, working projects.

He focuses on helping learners bridge the gap between theoretical knowledge and real-world application. Driven by the philosophy that learning should be interactive and enjoyable, I strive to cultivate curiosity, critical thinking, and a lifelong love for STEM in every student.

Coach Armando

STEM/Robotics Teacher

Mechanical Engineer |
VEX Robotics Expert
From Theory to Competition Mastery

  • Mechanical Engineering M.S. (San José State, UC Riverside)
  • Years of VEX V5 Design & Build Experience
  • Guides Students from Basic Skills to Advanced Engineering

Why Parents Love Him: Coach Armando isn’t just a teacher—he’s a mentor who turns young learners into real engineering thinkers. With a strong mechanical background and a passion for system-level design, he helps kids understand not just how to build, but why designs work.

Teacher Abdul

Physicist ‧ Engineer ‧ Educator

As a Ph.D. physicist (University of Michigan, Ann Arbor) specializing in optics and materials science, I engineer high-power UV lasers by day and design analog circuits by night. My teaching philosophy centers on deep inquiry: I ask questions that illuminate what students already know, evaluate their understanding, and connect complex concepts through language they naturally grasp. With experience tutoring high school and college students, I bridge cutting-edge science with relatable learning — turning curiosity into clarity.

Coach Frank

AI Engineering

Senior AI engineer specializing in edge AI, LLM compilation and optimization, robotics systems across VEX IQ, VRC, and humanoid platforms. Directs Ustar’s humanoid robotics program, integrating AI, software, and hardware to develop real-world intelligent systems.

Coach Preethi

Robotics Teacher

Coach Preethi holds a Bachelor’s degree in Computer Science and Engineering and has professional experience as a Software Engineer in leading tech companies. Passionate about teaching, she enjoys helping students develop problem-solving and logical thinking skills through programming in languages such as Python, C, C++, and Java.

Cupertino/San Jose Site: 1340 S De Anza Blvd suite 104, 102 San Jose, CA 95129

Los Altos/MV site: 858 University Ave, Los Altos, 94024


Email: onsite@loveustar.com, teachers@loveustar.com
Phone: (408)352-5488 or (408)630-1162

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