We seek to first run though a typical non-production machine learning workflow then to present a solution for model deployment using AWS SageMaker and Amazon SageMaker Studio.
This workshop covers:
- Connecting to data storage
- Training & model evaluation
- Model deployment & monitoring
- Best practices (how not to get in trouble!)
Target audience: Data science & analytics professionals
Language requirement: Intermediate/advanced English
Prior knowledge requirements: None
Software requirements: AWS account