AWS: Machine Learning & MLOps Foundations
Completed by Clayton Hostetter
January 27, 2026
5 hours (approximately)
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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: Data Preprocessing
- Category: Machine Learning
- Category: AWS SageMaker
- Category: Amazon Web Services
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Data Processing
- Category: Unsupervised Learning
- Category: Classification Algorithms
- Category: Supervised Learning
- Category: Model Deployment
- Category: Applied Machine Learning
- Category: Predictive Modeling
