"Certified AI Crypto & Privacy Engineer (CAICPE)" trains professionals on securing AI systems with advanced cryptography and privacy-preserving technologies. Learn homomorphic encryption, federated learning, and differential privacy in the context of AI.
Learning Objectives
- Understand AI cryptography and privacy principles.
- Implement cryptographic techniques for AI data protection.
- Apply privacy-enhancing technologies (PETs) to AI applications.
- Mitigate privacy risks associated with AI data processing.
- Comply with data privacy regulations in AI development.
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):