Artificial Intelligence

Explore the World of Artificial Intelligence

Our comprehensive program introduces students to the fascinating world of AI, machine learning, and data science through interactive lessons and hands-on projects.

Artificial Intelligence

LLM/Generative AI tools and understanding AI concepts

Effective AI Use

Prompt Engineering and AI interaction techniques

Design Applications

Image and voice analysis using AI technology

Scratch Programming

MIT visual programming language for creative projects

What You'll Learn

Introduction to AI

Understanding what Artificial Intelligence is and how it differs from human intelligence.

Scratch Lessons

Learn syntax, loops, conditions, functions, and visual interface design.

Image Detection with AI

Understand AI models, training data, and applications.

Sound Analysis with AI

Interpreting and understanding audio signals through AI and ML techniques.

Training AI Models

Training AI models to recognize patterns and make decisions using large datasets.

Capstone Project and Showcase

Combining multiple AI features and modules to design a real-life project.

Who Can Join?

Middle & high school students (or beginners) eager to explore AI, Data Science, and Python!
No prior coding experience is required, making it a great starting point for students interested in technology and innovation.

Why Join?

Hands-On Projects – Build chatbots, image recognition models, and more.
Collaborative Learning – Work on team-based challenges and problem-solving activities.
Real-world applications with expert instructors.
Future Skills Development – Gain valuable coding and AI knowledge for future careers.

Course Content

1: Introduction to AI

AI Concept: Understanding what Artificial Intelligence is and how it differs from human intelligence.

Task: Use AI tools to explain what it does and how it can help you.
Example Project: "Meet My AI" – Create an animated character that introduces itself and explains what AI means using text-to-speech.

2: Face Detection with Computer Vision

AI Concept: Computer vision fundamentals and face detection using pre-trained models.

Task: Use AI tools to identify the faces of uploaded famous people.
Example Project: "Smile Detector" – Program a sprite to respond (such as speaking or moving) when a face is detected through the webcam.

3: Facial Emotion Recognition

AI Concept: Emotion recognition using facial landmarks and image data.

Task: Use AI tools to detect the emotion of an uploaded image of your face.
Example Project: "Mood Mirror" – Create an interactive mirror that changes the background or sprite behavior based on detected facial emotion.

4: Hand Gesture Recognition

AI Concept: Gesture detection using hand landmark tracking.

Task: Use AI tools to classify a picture using sign language and determine what letter is being communicated.
Example Project: "Gesture Game Controller" – Use hand gestures to control sprite movements such as jumping, moving forward, or performing an action.

5: Pose Detection

AI Concept: Pose estimation using skeletal point tracking.

Task: Use AI tools to determine what type of dance is happening in the GIF.
Example Project: "Pose Dance Party" – Program a sprite to react to student poses or mimic movements to simulate dancing or exercise.

6: Voice Command Recognition

AI Concept: Speech recognition and Natural Language Processing basics.

Example Project: "Voice-Controlled Robot" – Use voice commands to control a virtual robot with actions like move, stop, or turn.

7: Text Sentiment Analysis

AI Concept: Sentiment detection and simple natural language classification.

Task: Use AI tools to detect the tone of famous speeches from history.
Example Project: "Emotion Reader Bot" – Allow users to input sentences and have a sprite react based on detected sentiment (positive, negative, neutral).

8: Teachable Machine – Custom Image Classifier

AI Concept: Supervised learning and creating a custom image classification mode.

Task: Use AI tools to sort a folder of fruits into types of fruits.
Example Project: "Smart Sorter" – Train a custom image classifier to distinguish between objects (such as hand signs) and sort them accordingly.

9: AI Chatbot with Speech

AI Concept: Conversational AI and chatbot interaction.

Task: Use AI tools to ask questions and get detailed responses.
Example Project: "AI Buddy" – Create a basic chatbot that can listen to voice input and respond to predefined questions using speech output.

10: Capstone Project and Showcase

AI Concept: Combining multiple AI features to solve a problem or create an engaging interactive experience.

Task: Use AI tools to help you with your coding project.
Example Project: "My AI Super App" – Students develop a final project that uses at least two AI tools they have learned, such as combining face detection and voice recognition in a creative way.

1: Introduction to Python

Getting started with Python basics

Overview of Python & real-world applications
Writing basic scripts: Input/Output
Understanding Data Types
String manipulation techniques

2: Core Python Concepts

Lists, functions and control statements

Lists: indexing, slicing, and list operations
Writing functions and using return values
If/Else statements, Boolean logic & comparisons
Introduction to loops (for/while) for automation
Organizing data with Dictionaries

3: File Handling in Python

Working with files and automation

Reading and writing files in Python
Understanding and avoiding infinite loops
Navigating files using the OS module
Python scripts from the command line

4: AI Fundamentals

Introduction to artificial intelligence concepts

Introduction to AI, machine learning, and real-world applications
Understanding how data is used to train AI models
Ethics & bias in AI and responsible data science practices

5: Introduction to Data Analysis

Working with Pandas and datasets

Exploring datasets with Pandas
Basic Numpy operations
Using Pandas to read CSV files and perform basic data cleaning
Understanding data joins: left, right, inner, outer merges

6: Advanced Data Analysis

Data cleaning and manipulation techniques

Cleaning messy datasets for analysis with Pandas
Filtering, sorting, and modifying DataFrames
Identifying and handling duplicate or inconsistent data
Using lambda functions for efficient operations
Handling missing data

7: Data Visualization

Creating charts and visualizing insights

Grouping columns, aggregating data & using Pivot Tables
Creating bar charts, line graphs, and pie charts with Matplotlib
Customizing and interpreting visualizations for data insights

8: Final Project

Applying skills to create a complete project

Applying Python skills to analyze a real-world dataset
Creating visualizations to present key insights
Writing a summary report or presenting findings to the class

Pricing Guide

Camp With LIVE Instructor

for Ages 12+

Seasonal Coding Camp

LIMITED TIME SAVE $110

$185 /week $295

Morning or Afternoon options (Mon-Thu).

Hands-On Projects w/ real-world applications
Expert instructors
Camp progress updates from teachers
Gain valuable AI knowledge for future careers
Weekly price, no long-term commitment!

Book Now

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Artificial Intelligence

Explore the World of Artificial Intelligence

Artificial Intelligence

Effective AI Use

Design Applications

Scratch Programming

AI & Machine Learning

Data Science

Python Programming

What You'll Learn

Introduction to AI

Scratch Lessons

Image Detection with AI

Sound Analysis with AI

Training AI Models

Capstone Project and Showcase

Beginner-Friendly Python Lessons

Advanced Programming

AI & Machine Learning Basics

Data Science Essentials

Data Organization

Command Line & OS Module

Regex Magic

Statistical Insights

Data Visualization

Who Can Join?

Why Join?

Who Can Join?

Why Join?

Course Content

1: Introduction to AI

2: Face Detection with Computer Vision

3: Facial Emotion Recognition

4: Hand Gesture Recognition

5: Pose Detection

6: Voice Command Recognition

7: Text Sentiment Analysis

8: Teachable Machine – Custom Image Classifier

9: AI Chatbot with Speech

10: Capstone Project and Showcase

1: Introduction to Python

2: Core Python Concepts

3: File Handling in Python

4: AI Fundamentals

5: Introduction to Data Analysis

6: Advanced Data Analysis

7: Data Visualization

8: Final Project

Pricing Guide

$185 /week $295