Python services
Practiced inside a shared product architecture with performance, reliability, and launch constraints.
Applications open soon for Cohort 1 · 30 online seats
Models, APIs, and product intelligence
AI Backend Engineering
Work on the services, model integrations, APIs, and data flows that power an AI-backed B2C product.
What students practice
For students who want to work on inference, data pipelines, services, and the backend systems behind an AI-backed product.
Model integration
Practiced inside a shared product architecture with performance, reliability, and launch constraints.
API design
Practiced inside a shared product architecture with performance, reliability, and launch constraints.
Cloud and data flows
Practiced inside a shared product architecture with performance, reliability, and launch constraints.
Placeholder entry requirement
Placeholder requirement: enrolled in CS, AI, data science, or a similar program.