Concevoir les données d’un système IA

Build reliable data, feature, embedding, retrieval, evaluation, and observability pipelines for AI systems.

1. phases/00-setup-and-tooling/09-data-management — 45 min
2. phases/02-ml-fundamentals/08-feature-engineering — 90 min
3. phases/02-ml-fundamentals/13-ml-pipelines — 120 min
4. phases/10-llms-from-scratch/03-data-pipelines — 90 min
5. phases/11-llm-engineering/04-embeddings — 75 min
6. phases/11-llm-engineering/05-context-engineering — 90 min
7. phases/11-llm-engineering/06-rag — 90 min
8. phases/11-llm-engineering/07-advanced-rag — 90 min
9. phases/11-llm-engineering/10-evaluation — 45 min
10. phases/11-llm-engineering/13-production-app — 120 min
11. phases/17-infrastructure-and-production/13-llm-observability — 60 min