Building Reliable
AI Systems.
An 8-week engineering program for high school students. Learn to architect LLM systems, build RAG pipelines, and deploy AI agents — guided by industry practitioners, not just academics.
Think Like an AI Engineer
We don't just teach you how to use AI tools. We teach you how they work, why they fail, and how to build them responsibly for the real world.
Large Language Models
Understand Transformers, attention mechanisms, and why models like GPT-4 hallucinate—and how to fix it.
RAG Systems
Connect AI to live data using retrieval-augmented generation, the technique behind enterprise AI search.
AI Agents
Build systems that don't just respond—they plan, reason, and take real actions across APIs and environments.
AI Safety & Failures
Study real-world case studies of AI system failures in healthcare, finance, and consumer products.
Program Details
Anupama Garani — Lead Instructor & Curriculum Designer
Anupama designed the curriculum and serves as lead instructor for all sessions. She developed the TRUST Framework through her work building AI systems in regulated financial services, where reliability failures have real consequences.
- Steering Committee, Toronto Machine Learning Society
- Ambassador, Women in Data Science (WiDS)
- Researcher in RAG system reliability and AI governance
Ready to Build the Future of AI?
Seats are limited for the June 2026 cohort. The program is 100% free — all we ask is your curiosity and commitment.
No cost. No credit card. Just world-class AI education.
Program Reach
The AI Summer Program 2026 is a national initiative open to high school students (Grades 9-12) across the United States. The program is delivered virtually, removing geographic and financial barriers to advanced AI education.
- Format:Virtual (Zoom)
- Cost:Free
- Reach:Students nationwide
- Platform:MentisPrep.com