(Weeks 5–6 | Lec 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Hrs | 1.0 Credit Hrs)
Students will:
- Train supervised learning models using AWS SageMaker.
- Deploy endpoint inference models.
- Monitor training jobs and tune hyperparameters.
Prerequisite: AICloud 102 – Data Engineering in the Cloud
Tools: AWS SageMaker, Jupyter Notebooks
Course Content
Aicloud - 103 Day 1
Aicloud - 103 Day 2
Aicloud - 103 Day 3
Aicloud - 103 Day 4
Aicloud - 103 Day 5
Aicloud - 103 Day 6
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