AI for Teens

Understanding AI and Real-World Applications

• Introduction to AI in a simple, teen-friendly way

• How AI differs from coding, automation, and search engines

• Real-life examples from social media, games, chatbots, and apps

• Understanding inputs, outputs, and why AI can make mistakes

How AI Thinks and Responds

• What happens when we give AI a prompt

• How AI predicts and generates responses

• Good vs weak AI responses

• Why AI should be used carefully, not blindly

Interactive AI Learning

• Students explore AI concepts through guided mini-experiences

• Learn how AI models are trained using examples

• Understand bias and limitations through interactive tasks

• Reflect on how AI decisions are made

Understanding AI and Real-World Applications

• Introduction to AI in a simple, teen-friendly way

• How AI differs from coding, automation, and search engines

• Real-life examples from social media, games, chatbots, and apps

• Understanding inputs, outputs, and why AI can make mistakes

How AI Thinks and Responds

• What happens when we give AI a prompt

• How AI predicts and generates responses

• Good vs weak AI responses

• Why AI should be used carefully, not blindly

Interactive AI Learning

• Students explore AI concepts through guided mini-experiences

• Learn how AI models are trained using examples

• Understand bias and limitations through interactive tasks

• Reflect on how AI decisions are made

Prompting Basics

• Writing clear prompts using role, task, and output format

• Learning how better prompts improve results

• Moving from simple to structured prompting

• Practicing with fun, relatable examples

Prompt Improvement and Verification

• Improving vague prompts step by step

• Asking AI to explain, summarize, compare, and brainstorm

• Checking for accuracy, clarity, and usefulness

• Building simple fact-checking habits

Creative Communication with AI

• Using AI to create posters, captions, short content, and slides

• Improving writing while keeping the student’s own voice

• Creating presentation-ready content with AI support

• Learning how to label AI-assisted work responsibly

AI Image Generation with ImagineArt

• Creating characters, scenes, and poster visuals from text prompts

• Understanding how style and detail shape outputs

• Practicing safe and creative image prompting

Creative Media with Mocha AI

• Exploring visual storytelling and creative experiments

• Building moodboards, story ideas, and media concepts

• Understanding the difference between creative content and factual content

Interactive AI Creativity

• Exploring AI-generated art, music, and patterns

• Understanding how AI can be creative, not just logical

• Experimenting with different styles and outputs

• Discussing how AI creativity differs from human creativity

Storytelling and Presentation Design

• Combining visuals and text into clear communication

• Using AI visuals in Canva or Google Slides

• Presenting creative ideas confidently

AI in Gaming

• Understanding how AI is used in games for characters, decision-making, and player experiences

• Exploring how NPCs, enemy behavior, and game recommendations use AI

• Discussing how AI can make games more interactive and personalized

Vibe Coding with Claude Code

• Learning how to build simple apps and game ideas using natural language

• Using Claude Code for beginner-friendly vibe coding and turning ideas into working prototypes

• Experimenting with prompts to create interactive tools, mini games, and fun digital experiences

• Understanding how to guide AI step by step to improve results

Drag-and-Drop AI Agents with CrewAI

• Exploring how AI agents can be designed visually using drag-and-drop workflows

• Understanding how agents, tasks, and tools connect in a simple workflow

• Using CrewAI to experiment with beginner-friendly agent design concepts

• Learning how no-code and low-code agent building can turn ideas into working flows

Creative Game and Project Building

• Brainstorming simple AI-powered game ideas, stories, or challenges

• Designing characters, worlds, and concepts using AI tools

• Combining visuals, prompts, and logic into interactive mini-projects

Project Prototyping

• Turning ideas into simple demos, concepts, or presentations

• Combining prompting, visuals, AI assistants, vibe coding, and agent workflows into one project

• Preparing projects that are creative, useful, and age-appropriate

Introduction to Machine Learning

• What machine learning is in simple terms

• How models learn from examples

• Difference between machine learning and generative AI

• Everyday examples of machine learning

Computer Vision Basics

• Understanding how AI can read and recognize images

• Exploring image classification, object detection, and facial expression examples

• Learning how computer vision is used in games, mobile apps, cameras, and smart systems

Teachable Machine Hands-On

• Training a simple image recognition model

• Collecting and labeling examples

• Testing how the model performs

• Understanding why data quality matters

Testing and Improving Models

• Logging results in Google Sheets

• Identifying model mistakes

• Improving results with better examples

• Understanding bias and limitations in a simple way

Concept Reinforcement

• Linking learning back to Google AI Quests

• Identifying types of learning (supervised vs others)

• Connecting theory with hands-on models.

Building with Google AI Studio

• Creating simple AI assistants for study help and productivity

• Structuring prompts for clearer outputs

• Learning how to get more consistent responses

Designing Helpful AI Assistants

• Building assistants like a study buddy, quiz helper, or writing assistant

• Defining task, tone, and output style

• Improving through testing and revision

Safety and Refusal Behavior

• Teaching the assistant what not to do

• Adding simple safety boundaries

• Understanding privacy and harmful content limits

Responsible AI for Teens

• Understanding plagiarism, privacy, bias, and misinformation

• Learning safe, fair, and honest AI use

• Knowing when AI should help and when students should think independently

Final Project Development

• Building a creative or useful AI project individually or in teams

• Combining prompts, visuals, AI tools, and workflows into one final idea

• Testing and improving the project based on feedback

Showcase and Presentation

• Presenting the final project through Canva or Google Slides

• Explaining what it does, how it works, and why it matters

• Submitting the prototype, test evidence, and presentation deck