- Artificial Intelligence and Machine Learning (AI/ML)
- Serverless Computing
- Data Analysis
- Cloud Solutions
- Data Pipelines
- Machine Learning Methods
- AWS SageMaker
- Microsoft Azure
- Amazon Web Services
- Machine Learning
- Exploratory Data Analysis
- Amazon S3
MLOps Platforms: Amazon SageMaker and Azure ML
Completed by Sitikantha Sarangi
October 11, 2024
31 hours (approximately)
Sitikantha Sarangi'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
