Introduction to Responsible AI

This course provides an overview of what responsible AI is and why it is important in the context of generative AI. Responsible AI refers to the development, deployment, and use of AI in an ethical, transparent, fair, and accountable manner. The course covers core dimensions of responsible AI; establishing best practices for fairness, explainability, privacy, robustness, governance, and transparency. This course also introduces services and tools to build AI responsibly on AWS. 

• Ethical AI development and deployment strategies
• Bias detection and fairness evaluation
• Designing for model transparency and explainability
• Using AWS tools to implement responsible AI practices

• Understand the core dimensions of responsible AI including privacy, robustness, and governance
• Learn how to apply ethical guidelines when selecting models, preparing data, and evaluating AI systems
• Gain insight into designing transparent, explainable, and human-centered AI workflows

• Expert-developed content by AWS Technical Field Communities
• Real-world examples and ethical design case walkthroughs
• Interactive knowledge checks and guided instruction
• Certificate of completion