The Konfer Guide for Building Trusted and Transparent AI/ML Solutions on AWS Sagemaker

Amazon SageMaker is a fully managed machine learning service that allows data scientists and developers to quickly and easily build and train machine learning models, then directly deploy them into a production-ready hosted environment.

Konfer’s latest e-book is a comprehensive guide for using SageMaker to build not just AI/ML solutions — but trusted and transparent AI/ML solutions.

Here’s a sneak peek at what you’ll learn:

• Amazon SageMaker prerequisites and features
• Step-by-step guide to creating, setting up, and configuring a Notebook instance
• How to configure SageMaker Clarify to get bias reports and explainability
• How to browse through metric namespaces to find and view metrics in SageMaker CloudWatch
• How to use SageMaker CloudTrail to enable operational and risk auditing, governance, and compliance of your AWS account
• Step-by-step guide to setting up a SageMaker Domain for SageMaker Studio users, creating a Studio Project, using SageMaker templates, and creating your own Organization templates.
• Walk-through of Model development using SageMaker Studio Projects …and more!