About this Course
In this course, you will learn about responsible artificial intelligence (AI) practices. In the first section of this course, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempts to overcome, and explore the core dimensions of responsible AI. Then in the next section of the course, you will dive into some topics for developing responsible AI systems. In this section of the course, you will learn about some of the services and tools that AWS offers to help you with responsible AI. You will also learn about responsible AI considerations for selecting a model and preparing data for your AI systems. Finally, in the last section of the course, you learn what it means for a model to be transparent and explainable. You will also learn about tradeoffs to consider between safety and transparency for an AI model and the principles of human-centered design for explainable AI
What You'll Learn
- Understand responsible AI practices and challenges
- Define responsible AI and its core dimensions
- Explore AWS tools supporting responsible AI
- Apply responsible considerations in model selection and data preparation
- Understand model transparency and explainability
Prerequisites
- Basic computer and internet skills
- Ability to follow instructions and complete exercises
Instructors
AWS Instructor