Length: 2 days
The Certified Ethical AI Developer (CEAD) certification focuses on ethical principles in AI development, providing the skills to create AI systems that are fair, transparent, and accountable.
Learning Objectives
- Understand key ethical principles in AI development.
- Apply ethical frameworks and guidelines to AI projects.
- Detect and mitigate biases in AI models.
- Ensure transparency and explainability in AI systems.
- Address privacy and security concerns in AI development.
- Navigate legal and regulatory requirements for AI.
- Implement responsible AI practices in technical and operational contexts.
Target Audience
- AI developers and engineers
- Data scientists and analysts
- IT professionals involved in AI projects
- AI researchers and practitioners
- Legal and compliance professionals in tech sectors
- Project managers overseeing AI initiatives
Program Modules
- Introduction to Ethical AI
- Ethical Frameworks and Guidelines
- Bias and Fairness in AI
- Transparency and Explainability
- Privacy and Security in AI
- Accountability and Governance
- Legal and Regulatory Considerations
- Technical and Operational Best Practices
Exam Domains
- Ethical Principles in AI (15%)
- Ethical Frameworks and Guidelines (20%)
- Bias and Fairness (15%)
- Transparency and Explainability (15%)
- Privacy and Security (15%)
- Accountability and Governance (10%)
- Legal and Regulatory Compliance (10%)
Question Types
- Multiple-Choice Questions (MCQs)
- Scenario-Based Questions
- Practical Exercises
- Short Answer Questions
Passing Grade
70%