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Security, Governance, and Responsible AI
Implement security best practices, governance frameworks, and responsible AI principles in your AI systems. Understand risks and mitigation strategies.
Introduction
Implement security best practices, governance frameworks, and responsible AI principles in your AI systems. Understand risks and mitigation strategies.
4 Lessons
26h Est. Time
4 Objectives
1 Assessment
By completing this module you will be able to:
✓ Implement security best practices for AI applications
✓ Design governance frameworks for AI system oversight
✓ Address bias, fairness, and alignment issues
✓ Implement audit trails and explainability
Lessons
Work through each lesson in order. Each one builds on the concepts from the previous lesson.
1
Securing LLM Applications
2
Authentication, Authorization, and Data Privacy
3
AI Governance Frameworks
4
Building Trustworthy AI Systems
Recommended Reading
Supplement your learning with these selected chapters from the course library.
Developer's Playbook for LLM Security
Chapters 1-8
LLMs in Enterprise
Chapters 6-10
Module Assessment
Security, Governance, and Responsible AI
Question 1 of 3