Join us for the Amazon SageMaker Immersion Day – a comprehensive hands-on workshop designed to help you master end-to-end ML workflows using Amazon SageMaker. This workshop covers essential topics including feature engineering, model training, tuning and deployment, AutoML, model monitoring, bias detection, and ML governance. Through detailed lab sessions, you’ll gain practical experience with SageMaker Studio IDE and learn how to build production-ready ML solutions.Prerequisites:
- Basic understanding of Machine Learning concepts
- Python programming experience
- No prior AWS knowledge required
Perfect for data scientists and ML practitioners looking to leverage AWS’s powerful machine learning platform. All labs come with detailed step-by-step instructions to ensure a smooth learning experience.
Below is the schedule for this SageMaker Canvas Immersion Day:
AWS Sagemaker Lunch & Learn – April 9 12-1pm, Friedhoff Hall 1
AWS Sagemaker Workshop – April 9 1:30-4:30pm, Friedhoff Hall 1
Register here: https://forms.office.com/r/BZUM7PDNds