• Start in Elementary School – no math or coding pre-requisite!

• Learn what AI is, and how to build AI and use it

• Self paced projects, videos and online exercises to continue your learning outside of class

• Learn how AI works, from AI experts

• Learn how things in your daily life (like Alexa, phones, and self driving cars) use AI

• Build your own AI and teach it how to play games and chat with you!

• Start in Elementary School – no need to know math or coding

• Courses that advance with you to Middle School, High School, competitions and beyond. Lots of ways to use coding and AI as you learn to code!

• Build cool projects to showcase your skills to parents, teachers and friends!

• AI basics.
• Introduction to more advanced AI concepts (e.g., neural networks).
• Discussing the role of AI in society and potential ethical considerations.

• Exploring the history of AI.
• Discussing notable milestones and breakthroughs in AI development.
• Hands-on activity: Creating a timeline of significant events in AI history.

• Deep dive into machine learning algorithms.
• Introduction to supervised, unsupervised, and reinforcement learning.
• Hands-on activity: Building and training a simple neural network model for classification tasks.

• Understanding the importance of data preprocessing.
• Exploring techniques such as normalization and feature scaling.
• Hands-on activity: Preprocessing data for AI model training.

• Introduction to natural language processing (NLP).
• Discussing how AI understands and generates human language.
• Hands-on activity: Building a basic chatbot using NLP concepts.

• Introduction to computer vision.
• Exploring applications like object detection and facial recognition.
• Hands-on activity: Building a simple AI model to detect objects in images.

• Understanding the role of AI in robotics.
• Exploring how AI enables robots to perceive and interact with their environment.
• Hands-on activity: Programming a simple robot or virtual agent to perform basic tasks.

• Exploring cutting-edge AI technologies.
• Discussing recent advancements such as self-driving cars and AI in healthcare.
• Hands-on activity: Exploring AI applications through interactive simulations or case studies.

• Project-Based Learning: Encourage students to work on AI projects of their choice, guiding them through the process from problem definition to solution implementation.
• Debates and Discussions: Organize debates or discussions on topics related to AI ethics, bias in AI algorithms, and the future of AI.
• Field Trips or Virtual Tours: Arrange visits to AI research labs or organize virtual tours to companies working on AI technologies for real-world exposure.

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