Model Development with Amazon SageMaker AI

Course content

1. 1Choosing a modelling approachComing
2. 2Built-in algorithms and pre-trained modelsComing
3. 3Training jobs in SageMaker AIComing
4. 4Bringing your own script or containerComing
5. 5Hyperparameter tuningComing
6. 6Distributed and managed spot trainingComing
7. 7Evaluating models and metricsComing
8. 8Detecting bias and explaining modelsComing
9. 9Reducing overfitting and underfittingComing
10. 10Experiment tracking and the model registryComing
11. 11Fine-tuning foundation models in SageMaker JumpStartComing
12. 12Case study: training and tuning a classifierComing

Requirements

• AWS-250 Data Preparation for Machine Learning on AWS

Recommended background. You can start any course at any time.

Description

Choosing modelling approaches, training and tuning models with SageMaker AI, and evaluating and refining them.