AI Creators Curriculum
A hands-on, project-driven program where students build real AI-powered tools using intuitive, age-appropriate platforms, exploring concepts like image classification, chatbots, model training, and ethical AI.
Learning Outcomes
- How AI systems are trained using data
- The difference between programming and machine learning
- How to build tools like image classifiers, voice assistants, and recommendation systems
- Why AI can be biased—and how to design fairer systems
- How to explain AI decisions in human-friendly terms
- Basic programming concepts such as logic, sequencing, input/output, and conditions
Our AI Approach
AI Creators doesn't just use AI—students understand how it works, how to improve it, and how to use it responsibly. The first two levels include integrated coding support to help beginners build a strong foundation in logic and interaction design.
Learning Journey
Foundation Building
Master core concepts, basic logic, and fundamental programming principles
Skill Development
Apply knowledge to complex projects, explore AI concepts, and build interactive systems
Advanced Application
Create sophisticated projects, understand ethics, and showcase mastery through capstone work
Who This Program Is For
Students typically join AI Creators around age 9+, either after completing Code Explorers Level 6–8 or as a fresh start with strong interest in real AI tools. Optional onboarding tutorials and jumpstart sessions are available for new learners.
Program Completion Outcomes
By the end of AI Creators, students will understand how AI works, know how to design and train simple models, use AI tools creatively and responsibly, and build and present their own intelligent system.
Complete 8-Level Curriculum
Each level builds upon the previous one, creating a comprehensive learning journey that develops both technical skills and creative thinking. Students progress at their own pace while mastering essential concepts.
Thinking Like AI
Students learn fundamental coding concepts while exploring what makes AI different from traditional rule-based programming, using visual tools and platforms like Teachable Machine.
Sample Project Outcome
An image classifier that distinguishes pets (e.g., cat vs dog), connected to a visual output or animation in a game interface.
Core Topics (4)
Learning Outcomes
- Create event-driven programs
- Understand program flow and sequencing
- Design responsive user interfaces
Learning Outcomes
- Write conditional statements
- Create trigger-based interactions
- Design decision-making systems
Learning Outcomes
- Distinguish between AI and traditional programming
- Understand machine learning concepts
- Recognize AI applications in daily life
Skills Developed in This Level
Training AI with Data
Students learn how AI models learn from data, exploring dataset quality, training processes, and how to evaluate and improve model performance.
Sample Project Outcome
A custom classifier trained to recognize hand gestures or moods, with programmed reactions built into a game or story app.
Core Topics (4)
Learning Outcomes
- Create balanced datasets
- Understand data labeling principles
- Recognize data quality issues
Learning Outcomes
- Understand train/test data splits
- Evaluate model performance
- Prevent overfitting in models
Learning Outcomes
- Connect AI outputs to program logic
- Create responsive AI-driven interfaces
- Handle prediction uncertainty
Skills Developed in This Level
Using AI in Projects
Students learn to integrate AI models into interactive projects, creating games and applications that respond intelligently to user input.
Sample Project Outcome
A game where webcam input from a trained model determines story branching or difficulty level.
Core Topics (3)
Learning Outcomes
- Map AI predictions to actions
- Create AI-driven game mechanics
- Design intelligent user experiences
Learning Outcomes
- Build real-time AI interactions
- Create responsive AI applications
- Design user-friendly AI interfaces
Learning Outcomes
- Connect AI models to visual programs
- Create data-driven animations
- Build interactive AI demonstrations
Skills Developed in This Level
Fairness and Bias in AI
Students explore critical questions about fairness and bias in AI systems, learning to identify problems and design more inclusive AI solutions.
Sample Project Outcome
A classifier that initially performs unfairly, followed by student-led redesign with more balanced data.
Core Topics (3)
Learning Outcomes
- Identify bias in training data
- Understand data representation issues
- Recognize model behavior patterns
Learning Outcomes
- Detect unfair AI outcomes
- Analyze bias in AI systems
- Understand societal impact of AI bias
Learning Outcomes
- Create more balanced datasets
- Design inclusive AI systems
- Test for fairness across groups
Skills Developed in This Level
Natural Language and Chatbots
Students explore natural language processing and create their own chatbots, learning how AI can understand and generate human language.
Sample Project Outcome
A chatbot that role-plays a character or guides a user through a choose-your-own-adventure game.
Core Topics (3)
Learning Outcomes
- Understand natural language processing basics
- Design conversation flows
- Handle user input variations
Learning Outcomes
- Design conversation trees
- Manage conversation context
- Create engaging dialogue systems
Learning Outcomes
- Use pre-trained NLP models
- Create helpful AI assistants
- Design natural interactions
Skills Developed in This Level
Recommendation and Personalization
Students create recommendation systems that learn from user preferences and behavior to provide personalized experiences.
Sample Project Outcome
A simple recommender tool that offers suggestions (e.g., music, books, or emojis) based on user responses.
Core Topics (3)
Learning Outcomes
- Design preference collection systems
- Store and manage user data
- Respect user privacy
Learning Outcomes
- Create recommendation algorithms
- Understand collaborative filtering
- Design personalized experiences
Learning Outcomes
- Analyze user behavior patterns
- Create adaptive content systems
- Balance personalization and privacy
Skills Developed in This Level
AI in the Physical World
Students explore how AI can interact with the physical world through sensors and hardware, creating intelligent physical systems.
Sample Project Outcome
A robot that reacts to user gestures or voice commands using AI-based classification.
Core Topics (3)
Learning Outcomes
- Integrate AI with sensor data
- Create responsive physical systems
- Understand edge AI concepts
Learning Outcomes
- Connect AI decisions to physical outputs
- Create intelligent automation
- Design safe AI-controlled systems
Learning Outcomes
- Build AI-controlled robots
- Create intelligent robotic behaviors
- Understand embodied AI concepts
Skills Developed in This Level
Capstone AI Challenge
Students design and build their own complete AI system, integrating everything they've learned while considering real-world impact and ethical implications.
Sample Project Outcome
A final showcase project such as an AI-based game, voice assistant, or recommendation engine—complete with student presentation and ethical reflection.
Core Topics (3)
Learning Outcomes
- Design comprehensive AI projects
- Create project timelines and milestones
- Prototype and iterate on ideas
Learning Outcomes
- Create user-friendly AI interfaces
- Integrate ethical considerations
- Balance functionality and responsibility
Learning Outcomes
- Analyze potential AI impacts
- Consider ethical implications
- Present responsible AI solutions
Skills Developed in This Level
Ready to Start Your Child's AI Journey?
Join AI Creators and give your child the skills they need for the future. Our expert instructors and proven curriculum make learning AI fun, accessible, and impactful.