Distributed Deep LearningHorovodRayData Gathering, Labeling, and Monitoring in DLData Labeling Pitfalls to AvoidData Labeling Best PracticesData Labeling SolutionsUsing Foundation Models as LabelersMonitoring DL Models with Unstructured DataBuild Versus Buy Deep Learning ModelsFoundation Models, Generative AI, LLMsRisks and Challenges with Generative AIMLOps Pipelines for Efficiently Using and Customizing LLMsApplication Example: Fine-Tuning an LLM ModelConclusionCritical Thinking Discussion QuestionsExercises