AWS: ML Workflows with SageMaker, Storage & Security
Completed by Seema Choudhury
September 29, 2026
10 hours (approximately)
Seema Choudhury's account is verified. Coursera certifies their successful completion of AWS: ML Workflows with SageMaker, Storage & Security
What you will learn
Compare AWS storage options and select the appropriate solution for ML data management.
Explore the end-to-end capabilities of Amazon SageMaker for building and managing ML workflows.
Secure sensitive data using AWS KMS and Secrets Manager for encryption and credential management.
Skills you will gain
- Category: Key Management
- Category: Real Time Data
- Category: Data Storage
- Category: Amazon Redshift
- Category: Data Security
- Category: Applied Machine Learning
- Category: Amazon Web Services
- Category: Cloud Storage
- Category: Model Training
- Category: Model Deployment
- Category: AWS SageMaker
- Category: Amazon S3
