I’m very happy to announce that the second edition of “Learn Amazon SageMaker” is now available for pre-order on Amazon (US, India, UK, France, Japan, etc.) and elsewhere. Lots of updates and additions on data preparation, bias and explainability, automation, and much more!

This book is for software engineers, machine learning developers, data scientists, and AWS users who are new to using Amazon SageMaker and want to build high-quality machine learning models without worrying about infrastructure. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. A solid understanding of machine learning concepts and the Python programming language will also be beneficial.

Table of Contents

1. Introduction to Amazon SageMaker
2. Handling Data Preparation Techniques
3. AutoML with Amazon SageMaker AutoPilot
4. Training Machine Learning Models
5. Training Computer Vision Models
6. Training Natural Language Processing Models
7. Training with Built-in Frameworks
8. Training with Your Own Code
9. Scaling Your Training Jobs
10. Advanced Training Techniques
11. Deploying Models
12. Automating Deployment
13. Optimizing Cost and Performance