Certified Ethical AI Developer (CEAD)

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

1. Introduction to Ethical AI
2. Ethical Frameworks and Guidelines
3. Bias and Fairness in AI
4. Transparency and Explainability
5. Privacy and Security in AI
6. Accountability and Governance
7. Legal and Regulatory Considerations
8. Technical and Operational Best Practices

Exam Domains

1. Ethical Principles in AI (15%)
2. Ethical Frameworks and Guidelines (20%)
3. Bias and Fairness (15%)
4. Transparency and Explainability (15%)
5. Privacy and Security (15%)
6. Accountability and Governance (10%)
7. Legal and Regulatory Compliance (10%)

Question Types

• Multiple-Choice Questions (MCQs)
• Scenario-Based Questions
• Practical Exercises
• Short Answer Questions

Passing Grade

70%