Training and Tuning on SageMaker AI
What actually happens inside a training job — containers, channels, checkpoints — plus hyperparameter tuning with AMT, distributed training, Spot economics, and fixing fit problems.
Content current as of 2026-10.
Lessons
- Anatomy of a training job
- Hyperparameters and automatic model tuning
- Distributed training, Spot, and checkpoints
- Overfitting, underfitting, and what to do