AWS: Machine Learning & MLOps Foundations
Completed by Andreza Aparecida dos Santos
October 30, 2025
5 hours (approximately)
Andreza Aparecida dos Santos'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: Model Evaluation
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Model Training
- Category: Data Preprocessing
- Category: AWS SageMaker
- Category: Machine Learning
- Category: Model Deployment
- Category: Machine Learning Methods
- Category: MLOps (Machine Learning Operations)
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Unsupervised Learning
