As artificial intelligence transforms industries, it introduces new risks and challenges such as bias, security threats, and regulatory compliance. This course provides a specialized approach beyond traditional frameworks, designed to manage these risks effectively. It will allow you to become acquainted with the best practices for AI risk management, aligned with recognized frameworks and standards, helping you identify, assess, and mitigate AI-related risks while ensuring compliance.
TUV Rheinland Certified AI Risk Manager
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- TUV Rheinland Certified AI Risk Manager
About This Course
What You'll Learn
- Understand AI risk management fundamentals, including key concepts and techniques for identifying, assessing, and mitigating risks.
- Apply established frameworks like the NIST AI Risk Management Framework and the EU AI Act for governance and compliance.
- Learn to identify and assess specific AI risks, including bias, security vulnerabilities, transparency issues, and ethical concerns.
- Develop and implement effective risk mitigation strategies and incident response measures to address AI-related threats.
- Integrate AI risk management into your business strategy to ensure AI initiatives align with organizational objectives.
- Receive comprehensive training materials with over 450 pages of information, practical examples, exercises, and quizzes.
Requirements
- Professionals responsible for identifying, assessing, and managing AI-related risks within their organizations.
- Data scientists, data engineers, and AI developers working on the design, deployment, and maintenance of AI systems.
- Executives and decision-makers who aim to understand and address AI-related risks at a strategic level.
