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Build Your First AI App
Build a local-first AI assistant with streaming, memory, and a real backend
Build a local-first AI assistant with streaming, memory, and a real backend
Build document AI that shows sources, handles messy context, and can be evaluated
Build agents and workflows with tool use, recovery loops, and failure traces
Turn prototypes into systems with evals, datasets, fine-tuning, and LLMOps
Package, validate, deploy, and monitor ML services that stay up under real traffic
Fill in the Python, Docker, ML math, and PyTorch fundamentals you actually need.