AI Engineering Foundations
The essential knowledge every AI engineer needs. This 4-part series covers model customization approaches (fine-tuning, LoRA, prompting), production monitoring and observability, handling AI system failures gracefully, and the evaluation frameworks that catch problems before your users do.
Technical Deep Dives/Models & ArchitecturesTechnical Deep Dives/Evaluation & GuardrailsApplied AI/MLOps & Observability
4 parts in this series
AI
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Begin with Part 1 and work your way through the series at your own pace.