CHOOSE YOUR PATHWAY
Built for curious minds.
Start with the foundations. Go deeper into intelligent systems. Or challenge yourself in competition. Every pathway puts building at the center.
All programs: 8 weeks · $500 per student · Dates, age requirements, and availability to be announced
PATHWAY 01 / BEGINNER
AI Foundations & Programming
An introduction to artificial intelligence and programming for students who want to understand how AI works and develop their first intelligent applications.
Prerequisites
No prior programming experience required.
Your eight-week journey
01Introduction to Artificial Intelligence
- What is artificial intelligence?
- AI versus traditional programming
- Examples of intelligent systems
02Python Fundamentals
- Variables and data types
- Conditions and loops
- Functions and basic programming
03Data and Visualization
- Working with datasets
- Introduction to NumPy
- Basic data analysis and visualization
04How Machines Learn
- Features and labels
- Training and testing
- Supervised machine learning
05Building Your First Machine Learning Model
- Classification and regression
- Introduction to scikit-learn
- Model evaluation
06Introduction to Neural Networks
- Artificial neurons
- Layers and activation functions
- Basic neural network training
07Building an AI Application
- Integrating a trained model
- Building a simple user interface
- Testing an AI application
08Final AI Project
- Complete an original AI application
- Present results
- Project demonstration
Session dates, meeting times, age eligibility, and capacity will be published before enrollment opens.
PATHWAY 02 / ADVANCED
Advanced AI Development
An advanced program for students interested in developing sophisticated AI systems using deep learning, computer vision, transformers, generative AI, and autonomous agents.
Prerequisites
Prior Python programming experience recommended.
Your eight-week journey
01Machine Learning Foundations Review
- Data preprocessing
- Model evaluation
- Generalization and overfitting
02Deep Learning with PyTorch
- Tensors and automatic differentiation
- Neural network architectures
- Training deep learning models
03Computer Vision
- Convolutional neural networks
- Image classification
- Object detection
04Natural Language Processing
- Text representation
- Embeddings
- Semantic similarity
05Transformers and Large Language Models
- Attention mechanisms
- Transformer architecture
- LLM fundamentals
06Generative AI
- Generative models
- Retrieval-augmented generation
- Model adaptation
07AI Agents
- Agent architectures
- Tool calling
- Planning and multi-step workflows
08Advanced AI Capstone
- Develop an integrated AI system
- Evaluate performance
- Final presentation
Session dates, meeting times, age eligibility, and capacity will be published before enrollment opens.
PATHWAY 03 / COMPETITION PREPARATION
AI Competition Academy
A competition-oriented program designed to strengthen students' AI theory, mathematical reasoning, programming, machine learning, and problem-solving abilities.
Prerequisites
Prior programming experience recommended.
May support preparation for competitions such as USAAIO. No official affiliation or endorsement.
Your eight-week journey
01AI Competition Overview and Assessment
- Competition formats
- Diagnostic assessment
- Individual learning goals
02Mathematics for AI
- Linear algebra
- Probability and statistics
- Optimization fundamentals
03Python and Algorithmic Thinking
- Efficient programming
- Algorithm design
- Problem-solving exercises
04Machine Learning Challenges
- Feature engineering
- Classification and regression
- Training and validation
05Neural Network Challenges
- Neural network architectures
- Loss functions
- Optimization and hyperparameters
06AI Theory and Reasoning
- Deep learning concepts
- Attention and transformers
- Conceptual AI problems
07Timed Mock Competition
- Individual and team practice
- Timed problem solving
- Performance analysis
08Final Competition Simulation
- Full mock competition
- Individual feedback
- Preparation strategies
Session dates, meeting times, age eligibility, and capacity will be published before enrollment opens.