Amazon SageMaker Courses

AWS ML Engineer Associate 4.1 Monitoramento do desempenho do modelo e da qualidade dos dados (Português) | AWS ML Engineer Associate 4.1 Monitor Model Performance and Data Quality (Portuguese)
Amazon Web Services via AWS Skill Builder AWS ML Engineer Associate Curriculum Conclusion (Japanese)
Amazon Web Services via AWS Skill Builder AWS ML Engineer Associate 3.3 Automate Deployment (Japanese)
Amazon Web Services via AWS Skill Builder AWS ML Engineer Associate 4.2 Monitor and Optimize Infrastructure and Costs (Japanese)
Amazon Web Services via AWS Skill Builder AWS ML Engineer Associate 4.1 Monitor Model Performance and Data Quality (Japanese)
Amazon Web Services via AWS Skill Builder Lab - Orchestrate a Machine Learning Workflow using Amazon SageMaker Pipelines and SageMaker Model Registry (Simplified Chinese)
Amazon Web Services via AWS Skill Builder Lab - Orchestrate a Machine Learning Workflow using Amazon SageMaker Pipelines and SageMaker Model Registry (Korean)
Amazon Web Services via AWS Skill Builder Lab - Monitor a Model for Data Drift (Simplified Chinese)
Amazon Web Services via AWS Skill Builder Lab - Monitor a Model for Data Drift (Korean)
Amazon Web Services via AWS Skill Builder AWS ML Engineer Associate 3.2 Create and Script Infrastructure (Simplified Chinese)
Amazon Web Services via AWS Skill Builder

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