- AWS SageMaker
- Data Analysis
- Model Deployment
- Feature Engineering
- Microsoft Azure
- MLOps (Machine Learning Operations)
- Python Programming
- Serverless Computing
- Data Pipelines
- Cloud Deployment
- Data Preprocessing
- Machine Learning
MLOps Platforms: Amazon SageMaker and Azure ML
Completed by Ron Maor
June 19, 2024
31 hours (approximately)
Ron Maor's account is verified. Coursera certifies their successful completion of MLOps Platforms: Amazon SageMaker and Azure ML
What you will learn
Apply exploratory data analysis (EDA) techniques to data science problems and datasets.
Build machine learning modeling solutions using both AWS and Azure technology.
Train and deploy machine learning solutions to a production environment using cloud technology.
Skills you will gain
