Length: 2 days
The Certified Deepfake Detection Developer (CdDD) certification validates skills in developing and deploying systems to detect and attribute deepfakes, with a focus on advanced detection techniques and ethical considerations.
Learning Objectives
- Understand the nature and techniques of deepfake creation.
- Explore state-of-the-art deepfake detection methodologies.
- Develop skills in deploying deepfake detection systems.
- Implement liveness detection and attribution capabilities.
- Ensure detection systems can operate effectively offline.
- Integrate ethical considerations in deepfake detection and attribution.
- Navigate legal and regulatory frameworks for deepfake detection technologies.
Target Audience
- AI developers and engineers
- Cybersecurity professionals
- IT and forensic analysts
- Data scientists and researchers
- Legal and compliance professionals in tech sectors
- Project managers overseeing AI and cybersecurity initiatives
Program Modules
- Introduction to Deepfakes
- Deepfake Detection Techniques
- Attribution and Source Tracking
- Implementing Detection Systems
- Ethical Considerations and Responsible AI
- Legal and Regulatory Considerations
- Technical and Operational Best Practices
Exam Domains
- Understanding Deepfakes (15%)
- Deepfake Detection Methodologies (25%)
- Attribution and Source Tracking (15%)
- Implementation of Detection Systems (20%)
- Ethical and Responsible AI (10%)
- Legal and Regulatory Compliance (10%)
- Technical and Operational Best Practices (5%)
Question Types
- Multiple-Choice Questions (MCQs)
- Scenario-Based Questions
- Practical Exercises
- Short Answer Questions
Passing Grade
75%