Objectives

The Participant:

• Knows the different tools and techniques to build trustworthy AI models with no-code ML frameworks like DataRobot.
• Knows what is meant by “trustworthy AI”, and can give an overview of all the features that DataRobot offers for responsible and compliant AI development.

Content

• Introduction: What does Trustworthy AI mean?
• Before building a model: the data.
• While building a model: Model evaluation and understanding.
• In deployment: Model performance monitoring and governance.

Target Group

• The data scientists involved in an AI project with no-code AI tools.

Prerequisites

• Knowledge of machine learning and beginner experience with DataRobot.