AWS: Machine Learning & MLOps Foundations
Completed by Clayton Hostetter
January 27, 2026
5 hours (approximately)
Clayton Hostetter's account is verified. Coursera certifies their successful completion of AWS: Machine Learning & MLOps Foundations
What you will learn
Explore the core concepts of Machine Learning and how it differs from AI and Deep Learning.
Introduce key AWS services and MLOps practices for managing the end-to-end ML lifecycle.
Explore how to build and evaluate classification and regression models using AWS ML services.
Differentiate between batch and real-time inferencing methods and identify suitable use cases for each.
Skills you will gain
- Category: Machine Learning Algorithms
- Category: Classification Algorithms
- Category: MLOps (Machine Learning Operations)
- Category: Machine Learning Methods
- Category: Supervised Learning
- Category: Amazon Web Services
- Category: Model Evaluation
- Category: Data Preprocessing
- Category: Machine Learning
- Category: AWS SageMaker
- Category: Applied Machine Learning
- Category: Predictive Modeling

