Amazon SageMaker Studio for Data Scientists
Use Amazon SageMaker Studio for end-to-end data preparation, model development, tuning, deployment, monitoring, and ML resource management.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Amazon SageMaker Studio for Data Scientists training develops practical, source-aligned skills for use Amazon SageMaker Studio for end-to-end data preparation, model development, tuning, deployment, monitoring, and ML resource management.
The 24 Hours curriculum is independently rewritten into four structured lessons. Learners move from essential concepts to implementation, secure operations, troubleshooting, applied scenarios, and solution validation.
What You Will Learn
- SageMaker Studio setup and navigation
- Data access and processing workflows
- Data quality and bias detection
- Notebook and development environments
- Model training and experimentation
- Hyperparameter tuning
Training Approach
Instructor-guided explanations, AWS service mapping, practical configuration or design activities, scenario analysis, validation checklists, and a final improvement plan.
Curriculum
- 1 Section
- 4 Lessons
- 24 Hours
SkillDynamo Expert Team
SkillDynamo Expert Team
Instructor-led delivery focused on the source-aligned scope of Amazon SageMaker Studio for Data Scientists, with practical AWS service mapping, scenarios, validation, and troubleshooting.
- Structured explanations and demonstrations
- Applied exercises and design reviews
- Course-specific validation and improvement guidance
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