Case studies, best practices on creating data driven products, integrating data science into existing solutions
Setting up reproducible training, all the parts of setting up, managing data pipelines, monitoring, testing, etc
Machine learning for specific use-cases
Latest trends in transferring learning & practical advises on fine-tuning of huge models for specific use cases