Machine Learning & Artificial Intelligence Fundamentals: Understanding how computer algorithms learn to recognize patterns in data rather than following rigid, pre-written code.

Dataset Collection & Model Training: Learning how to gather, label, and clean visual, audio, or pose data to train accurate image classifiers, sound detectors, or gesture models.

AI Ethics & Bias Awareness: Exploring how sample quality and data selection directly influence AI decisions, accuracy, and algorithmic bias.

Recommended Ages: teens, adults, and seniors (Ages 11+).

Skill Level: Beginner friendly—perfect for anyone curious about how modern AI tools work behind the scenes.

Ideal Event Types: Introductory AI seminars., youth STEAM workshops, community digital literacy classes, and library tech series. 

Max Attendance: up to 30 participants, but 10 is ideal for personalized attention. 

First 15 Mins – Intro to Artificial Intelligence & Machine Learning

An engaging breakdown of how AI tools function in daily life, the difference between traditional software and machine learning, and an overview of Google's Teachable Machine platform.

Next 50–60 Mins – Hands-On AI Model Training

Interactive, step-by-step guidance as participants create and test their own machine learning models using webcams or audio inputs—training AI to recognize custom hand gestures, objects, or facial expressions.

Final 15 Mins – Model Testing, Exporting & Ethics Discussion

Participants test their trained models in real time, explore how to export their AI projects for use in other web apps or Scratch projects, and participate in a short Q&A on real-world AI applications and ethics.

Hardware Needed: Venue must provide computers or laptops (Chromebooks, PCs, or Macs) with web browsers and internet access. External mice are not required.

Connectivity: A wifi connection is necessary for this workshop. 

What's Provided: Complete step-by-step instruction, and pre-arranged sample dataset assets.