PROFESSIONAL • Responsible AI and Security

Data Pipeline Drill for personalized recommendation prototype #16

This lesson focuses on optimize inference latency using a practical personalized recommendation prototype scenario. You will apply commands: alert rules for drift/latency | pip install evidently | docker compose up -d. The code example demonstrates a concrete workflow aligned with this lesson objective, not generic filler.