Track

AI Engineering in Practice

Build the core pieces of a production AI system hands-on: a RAG pipeline and robust, schema-validated LLM output — grounded in real engineering.

A hands-on path through the building blocks of AI engineering. Learn the DARE workflow, build a retrieval-augmented generation pipeline, and make LLM output reliable with schema validation and retries.

Track items

📘 Getting Started with DARE (optional)
🧪 Build a RAG Pipeline
🧪 Validate LLM Output With a Schema