Using Sagemaker Pipelines get ML models approved and deploy
This course will take you from little or no AWS Sagemaker Pipeline experience top very confident
3.75 (10 reviews)
84
students
33 mins
content
Aug 2022
last update
$59.99
regular price
What you will learn
How to get models approved for Production
ML workflows
CI/CD
Sagemaker Pipelines
XGBoost
Default Model Monitor
Registering a model
Deployment of a Model on AWS
Sagemaker Studio
Hyperparameter Tuning Job
MLOps
Processing Job
Detect Data Drift
Evaluate Models
Make predictions of Deployed Models
Machine Learning Parameters of various XGBoost Models
Related Topics
4832400
udemy ID
8/15/2022
course created date
8/22/2022
course indexed date
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course submited by