Master risk evaluation in AI systems with the "Certified AI Risk and Maturity Modeler (CAIMM)." This certification focuses on modeling AI maturity and risk posture, helping professionals develop strategies for responsible AI adoption and continuous improvement.
Learning Objectives
- Understand the principles of AI risk and maturity modeling.
- Develop and apply AI risk and maturity models.
- Analyze and interpret AI risk and maturity data.
- Document and report AI risk and maturity findings.
- Understand AI risk management and maturity frameworks.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):