課程大綱： Amazon Web Services (AWS) SageMaker培訓
Introduction
Understanding machine learning with SageMaker
Machine learning algorithms
Overview of AWS SageMaker Features
AWS and cloud computing
Models development
Setting up AWS SageMaker
Creating an AWS account
IAM admin user and group
Familiarizing with SageMaker Studio
UI overview
Studio notebooks
Preparing Data Using Jupyter Notebooks
Notebooks and libraries
Creating a notebook instance
Training a Model with SageMaker
Training jobs and algorithms
Data and model parallel trainings
Post-training bias analysis
Deploying a Model in SageMaker
Model registry and model monitor
Compiling and deploying models with Neo
Evaluating model performance
Cleaning Up Resources
Deleting endpoints
Deleting notebook instances
Troubleshooting
Summary and Conclusion
加入高級會員獲得助教答疑
