Build Real AI. Not Just Theory.
From Python for AI to autonomous agents and USAAIO preparation — our AI program turns concepts into working systems students can show colleges and employers.
Explore AI ProgramsAI Is the Skill of
This Generation
Our AI program is built around doing, not watching. Every course has a project component. Students leave with functional AI systems they built themselves — agents, models, and applications that belong in a portfolio.
We cover the full stack of modern AI: Python foundations, classical machine learning, large language models, generative AI, and competitive AI preparation (USAAIO).
Student building an AI agent or presenting an ML project
AI Learning Progression
What We Teach
Python for AI
Python with an AI focus — NumPy, Pandas, data manipulation, and introductory machine learning concepts using real datasets.
- NumPy & Pandas fundamentals
- Data cleaning & visualization
- Statistics for ML
- Intro to scikit-learn
- Mini ML projects
Machine Learning
Supervised and unsupervised learning using scikit-learn and PyTorch. Students build and evaluate models on real data.
- Regression & classification
- Decision trees & random forests
- Neural network basics
- Model evaluation & tuning
- Project portfolio development
AI Agent Development
Build functional AI agents using modern APIs and prompt engineering. The foundation for the summer AI Agent intensive.
- REST APIs and HTTP basics
- OpenAI / Anthropic API usage
- Prompt engineering techniques
- Tool use & function calling
- Building autonomous agents
Generative AI
Explore large language models, image generation, and multimodal AI. Students learn how generative systems work and how to build with them.
- How LLMs work (transformers)
- Image generation basics
- Retrieval-Augmented Generation (RAG)
- Fine-tuning concepts
- Building generative AI apps
USAAIO Preparation
Targeted preparation for the USA AI Olympiad (USAAIO) — covering ML theory, competition problem formats, and AI reasoning under exam conditions.
- ML theory & core concepts
- USAAIO problem formats
- AI ethics & fairness concepts
- Competition problem walkthroughs
- Mock exam simulations
AI Research Projects
For students who want to produce an original AI research project — from hypothesis to working system to portfolio-ready write-up.
- Research question design
- Dataset selection & curation
- Experimental methodology
- Results analysis & interpretation
- Technical writing & presentation
AI Agent Summer Intensive
End of July · 4 weeks · 2 hrs/class · small group learning. Build a functional AI agent from scratch over four intensive weeks.
Ready to Build with AI?
Free placement session to find your student's starting point in the AI curriculum.
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