- Serverless Computing
- Microsoft Azure
- AWS SageMaker
- Machine Learning Methods
- Exploratory Data Analysis
- MLOps (Machine Learning Operations)
- Data Analysis
- Data Pipelines
- Applied Machine Learning
- Amazon S3
- Machine Learning
- Python Programming
MLOps Platforms: Amazon SageMaker and Azure ML
Completed by Meisam Kargar Sefiddashti
December 1, 2024
31 hours (approximately)
Meisam Kargar Sefiddashti'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
