This course includes presentations, demonstrations, discussions, labs, and at the end of the course, you’ll practice building an end-to-end tabular data ML project using SageMaker Studio and the SageMaker Python SDK.
Module 1: Amazon SageMaker Setup and Navigation
Module 2: Data Processing
Module 3: Model Development
Module 4: Deployment and Inference
Module 5: Monitoring
Module 6: Managing SageMaker Studio Resources and Updates
Capstone
This course includes presentations, demonstrations, practice labs, discussions, and a capstone project.
This course is intended for the following job roles:
The following course or equivalent knowledge is required: MLOps Engineering on AWS
Lernform
Learning form
Keine Filterergebnisse
The training is carried out in cooperation with an authorized training partner.
For the purpose of implementation, participant data will be transferred to the training partner and the training partner assumes responsibility for the processing of these data.
Please take note of the corresponding privacy policy.