AWS certification focused on designing, implementing, and maintaining ML solutions on AWS infrastructure.
Topics Covered
- Data engineering and feature stores on AWS
- SageMaker training, tuning, and deployment
- Model monitoring and A/B testing patterns
- Cost optimization for ML workloads
- Security and governance for ML pipelines