Responsible AI, Security and Governance for AI
Fairness, transparency and safety in AI systems, and how to secure, govern and stay compliant when using AI on AWS.
AWS-114 12 lessons planned ▶ Video lessons coming soon
Offered by HSM University · AWS Certifications
Course content
- 1Principles of responsible AIComing
- 2Bias and fairness in data and modelsComing
- 3Explainability and transparencyComing
- 4Amazon Bedrock Guardrails and SageMaker ClarifyComing
- 5Model cards and documentationComing
- 6Human oversight and reviewComing
- 7Securing AI systems with IAM and encryptionComing
- 8Data privacy and data residency for AIComing
- 9Threats to AI applicationsComing
- 10Governance frameworks and AI regulationComing
- 11Logging, auditing and lineageComing
- 12Case study: an AI governance plan for a new productComing
Requirements
Recommended background. You can start any course at any time.
Description
Fairness, transparency and safety in AI systems, and how to secure, govern and stay compliant when using AI on AWS.