- MLOps (Machine Learning Operations)
- Feature Engineering
- Cloud Solutions
- Exploratory Data Analysis
- AWS SageMaker
- Amazon S3
- Serverless Computing
- Data Pipelines
- Amazon Web Services
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Methods
- Microsoft Azure
MLOps Platforms: Amazon SageMaker and Azure ML
Completed by Ahmed Elnagar
December 8, 2024
31 hours (approximately)
Ahmed Elnagar'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
