AWS: Machine Learning & MLOps Foundations
Completed by Puja Kumari
January 3, 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: Machine Learning
- Category: Model Evaluation
- Category: Machine Learning Algorithms
- Category: Supervised Learning
- Category: Model Training
- Category: Machine Learning Methods
- Category: MLOps (Machine Learning Operations)
- Category: Data Preprocessing
- Category: Data Processing
- Category: AWS SageMaker
- Category: Unsupervised Learning
- Category: Classification Algorithms
