Lesson 1: Foundations and Core Concepts

Topics Covered

• SageMaker Studio setup and navigation
• Data access and processing workflows
• Data quality and bias detection
• Terminology, service roles, and solution context
• Requirements and design considerations

Practical Activity

Map a representative use case, identify requirements, and select the relevant AWS concepts or services.

• Document assumptions, selected services or concepts, and expected outcomes.
• Record validation evidence, risks, and any required corrective action.

Lesson Outcome

Learners can explain and apply the lesson topics within a realistic Amazon SageMaker Studio for Data Scientists scenario.