AWS: Machine Learning & MLOps Foundations
Completed by Sujal Gupta
March 25, 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: Amazon Web Services
- Category: Model Training
- Category: MLOps (Machine Learning Operations)
- Category: Model Deployment
- Category: Applied Machine Learning
- Category: Predictive Modeling
- Category: Machine Learning Methods
- Category: Unsupervised Learning
- Category: Model Evaluation
- Category: Supervised Learning
- Category: AWS SageMaker
- Category: Machine Learning
