Learning Amazon SageMaker AI

Introduction

• Welcome to Amazon SageMaker
• Review the Amazon SageMaker project

1. Getting Started with SageMaker

• Understanding Amazon SageMaker
• Setting up SageMaker Studio

2. Preparing a Dataset

• Analyzing and preparing data
• Using data preparation tools
• Challenge: Prepare a dataset
• Solution: Prepare a dataset

3. Training a Model

• Learning the steps to train a model
• Choosing an algorithm
• Training a model
• Challenge: Train a model
• Solution: Train a model

4. Evaluating and Tuning a Model

• Evaluating model performance
• Tuning a model
• Challenge: Evaluate a model
• Solution: Evaluate a model

5. Deploying a Model

• Deploying models
• Generating predictions
• Challenge: Deploy a model
• Solution: Deploy a model

6. Operationalizing a Model

• Operationalizing with MLOps
• Monitoring models
• Updating models

7. Understanding SageMaker Best Practices

• Managing SageMaker costs
• Ensuring security best practices

Conclusion

• Your SageMaker journey