Certified Responsible AI Developer (CRAD)

Length: 2 days

Certified Responsible AI Developer (CRAD)

The Certified Responsible AI Developer (CRAD) certification ensures professionals are equipped with the knowledge and skills to develop AI systems that adhere to responsible AI principles, including fairness, transparency, and accountability.

Learning Objectives

  • Understand the principles and importance of responsible AI.
  • Explore ethical frameworks and guidelines for AI in defense.
  • Gain practical skills in developing and implementing responsible AI solutions.
  • Learn to ensure compliance with ethical standards and regulatory requirements.
  • Address legal, procurement, technical, and operational considerations in AI projects.

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 Responsible 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 Implementation

Exam Domains

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

Question Types

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

Passing Grade


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