AWS: ML Workflows with SageMaker, Storage & Security
Completed by Sandesh Kamble
November 3, 2025
10 hours (approximately)
Sandesh Kamble'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: Data Security
- Category: Applied Machine Learning
- Category: Real Time Data
- Category: Cloud Security
- Category: AWS Identity and Access Management (IAM)
- Category: Feature Engineering
- Category: Amazon Web Services
- Category: Cloud Storage
- Category: Model Deployment
- Category: AWS SageMaker
- Category: Key Management
- Category: Amazon S3
